Durham, NC

Engineer Jobs in Durham, NC

13 jobs found

Include remote jobs

3d ago

Software Engineer III

KARL STORZ Durham, NC

Durham, NC

3d ago

$102k - $132k/yr Full time .NET Agile Agile Methodologies

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Job Description

Software Engineer III role with KARL STORZ supporting analysis, design, development, debugging, and software enhancements for the operating-room environment.

Responsibilities

Lead design, development, modification, documentation, and implementation of scalable software applications using Scrum and Agile
Develop solutions using Angular, .NET, C#, and Web API, including microservices, databases, and Entity Framework
Participate across the software-development lifecycle, from requirements gathering through testing and deployment in real-world environments
Support architecture, design, and code reviews, providing technical guidance and feedback to team members
Plan and perform unit testing and debugging, define test conditions from code specifications, and participate in test review and analysis
Contribute to software certification by participating in test witnessing and related activities
Design and implement improvements for performance, usability, scalability, and maintainability
Participate in Scrum meetings and lead them as needed
Coordinate compliance initiatives with Regulatory personnel before product launch
Lead prototyping, testing, vendor research, and vendor selection; partner with Product Strategy to support efficiency, quality, and cost control
Coordinate software-system installations, monitor equipment performance, evaluate hardware configurations, and train installation and assembly personnel
Maintain Design History File documentation and research emerging applications, technologies, and industry practices

Requirements

Bachelor’s degree in Computer Science or related field
5 years of relevant software-development experience
5 years experience with Angular, C# programming, .NET, SQL Server, Web API, Node.js, and JavaScript
Experience with microservices architecture, Entity Framework, and databases
Experience designing and developing GUI components in Angular
Experience across the product-development lifecycle, including end-to-end ownership at the box or system level
Ability to translate product requirements into design specifications aligned to key product-development objectives
Experience documenting and communicating system-design deliverables and developing in a multi-team environment
Knowledge of media types, video formats, resolutions, system configurations, and system performance
Ability to deploy projects in real-world scenarios and provide technical guidance on complex issues
Master’s degree in Computer Science or related field is preferred
Preferred: knowledge of computer networks, network architecture, Windows system configurations and performance, and Linux
Preferred: experience with security testing and standards, Docker, Kubernetes, shell scripting, and video/media concepts (including media types, video formats, and resolutions)

Core Technologies

Angular
.NET
C#
Web API
microservices
Entity Framework
SQL Server
Node.js
JavaScript
Scrum
Agile

Location and Travel

Site-based role in Durham, NC, US (Onsite)
Nearest major market: Durham; nearest secondary market: Raleigh
Travel: up to 10% annually
Location: Durham, NC 27703

Compensation

Pay range: $101,800 - $132,300 per year

Job Details

Job ID: 5999
VISA sponsorship: Not eligible for current or future employment visa sponsorship

Benefits

Medical / Dental / Vision with a state-of-the-art wellness program
Access to pet insurance
3 weeks vacation accrual for full time roles; paid holidays plus paid sick time
Up to 8 weeks of 100% paid company parental leave (maternal/paternal leave, adoption, fostering)
401(k) retirement savings plan with match: 66.67% (4%) of employee’s first 6% contribution (up to IRS limits)
Section 125 Flexible Spending Accounts
HSA Savings Accounts with company contribution
Life, STD & LTD Insurance
Tuition pre-imbursement up to $5,250 per year
Fitness reimbursement up to $200 annually

Role and Physical Requirements

Occasional light physical work
Sit for extended periods
Lift equipment weighing up to 20 pounds
Works with occasional oversight from the department manager; does not supervise others
Adhere to KARL STORZ safety protocols, Quality Management System requirements, document standards, coding standards, and development processes

What Will Make You Successful

Excellent oral and written communication, interpersonal, problem-solving, and presentation skills
Ability to manage multiple priorities with flexibility in a fast-paced environment
Ability to work cooperatively in a team-oriented, cross-functional environment
Ability to adapt to changing priorities, remain focused for extended periods, and multitask effectively
Strong desire and willingness to learn and apply new technologies
Accountability for delivering high-quality solutions and product releases in a timely manner

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7d ago

Desktop Support Engineer

Axiom Technologies Durham, NC

Durham, NC

7d ago

Contract End User Support Hardware Support Information Technology (IT)

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Job Description

On-demand, onsite desktop support role for enterprise clients at the client location in Durham, NC.

Key Responsibilities

Deliver on-site desktop and IT support to end users at the client location
Troubleshoot and resolve issues across Windows desktops, laptops, and associated peripherals
Install, configure, and maintain hardware, operating systems, and enterprise software applications
Support and troubleshoot network connectivity, including LAN connectivity issues
Assist with device setup, replacement, and on-site hardware installations
Perform basic network troubleshooting when required using console access
Document service activities and provide updates to the service delivery team
Follow client IT policies and security procedures during onsite work

Requirements

Strong knowledge of Windows operating systems and desktop environments
Experience troubleshooting and replacing hardware
Basic understanding of networking fundamentals, including LAN connectivity, network switches, and network routers
Ability to diagnose and resolve desktop, printer, and peripheral issues
Good communication and customer service skills
Ability to work independently in onsite support environments

Tools and Equipment Required

Windows laptop
LAN cable
Console cable
Screwdriver toolkit
Basic IT troubleshooting tools

Relevant Technologies

Windows operating systems
Windows laptop
Enterprise software applications
Network switches
Network routers
LAN cable and console cable

Location and Work Model

Durham, North Carolina, USA (onsite)
On-demand / field support role
Work assignments provided by the Service Delivery Team
Support requests communicated to engineers via phone or email
Each assignment includes site location, SPOC details, and reporting time
No guaranteed number of working hours

Contract Details

Job type: contract
Independent Contractor / (Dispatch / Part-Time)
Independent Contractor (1099)
Start date: Immediate

Eligibility

U.S. Citizens and Green Card Holders preferred

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1mo ago

Product Development Engineer 2

Maxonic, Inc. Durham, NC

Durham, NC

1mo ago Closed

Up to $48/hr Contract Bills Of Materials Design Design Engineering

This position is no longer accepting applications (closed Nov 1, 2026).

Job Description

Maxonic, Inc. is seeking a Product Development Engineer 2 on a contract basis for onsite work in Durham, NC. This role leads engineering design and development activities for client training models, from prototyping and testing through documentation and scalable manufacturing introduction.

Location and Employment Details

Location: Durham, NC (onsite)
Job type: Contract
Compensation: USD 48 per hourly (up to)
Pay: Up to $48.00 per hour
Work arrangement: In person

Role Summary

The Product Development Engineer 2 supports product development efforts for new models and design changes. The position focuses on improved user experience, training effectiveness and realism, manufacturability, reliability, and cost. Responsibilities include rapid prototyping, engineering documentation, root cause investigations, and coordination with supplier, manufacturing, and quality engineering teams to introduce revised models to production.

Responsibilities

Support product development projects for new models and design changes aimed at improving user experience, training effectiveness and realism, manufacturability, reliability, and cost.
Address unmet model needs and engineering challenges through rapid prototyping, design, and testing while collaborating with researchers, product management, scientists, KOL surgeons, and engineers.
Create design documentation including part specifications, drawings, BOMs, test protocols, and reports.
Coordinate with suppliers, manufacturing, and quality engineering to prepare for scalable production, define new processes, and comply with quality systems.
Conduct root cause investigations for design-related issues and perform design failure mode analyses.
Document and provide manufacturing process instructions to the manufacturing trainer for new and revised models.
Lead successful introductions of new and revised models to the manufacturing line.
Develop products that meet quality control standards and support quality control procedures and practices.
Sustain existing designs to achieve cost targets and maintain component supply continuity.
Test product packaging and work with vendors to communicate requirements and select appropriate design.

Requirements

Minimum 2 years of experience in design and product development.
Knowledge and execution of ISO 9001 quality systems.
Comfortable working with animal tissue and knowledge of basic anatomy.
Strong knowledge of surgical and laboratory terminology, equipment, materials, and procedures.
Demonstrated hands-on problem solving of mechanical engineering challenges.
Experience with component design and fabrication methods including machining, 3D printing, laser or die cutting, and thermoforming.
Proficient with CAD models (e.g., SolidWorks) and creating engineering drawings.
Familiar with phases of the product development lifecycle, including change and design control systems and processes (e.g., Agile).
Ability to work with standard computer applications: SmartSheet, Microsoft Office, Excel, Outlook, PowerPoint, Vision.
Excellent documentation and communication skills; familiarity with Good Documentation Practices.
Strong organizational skills and ability to support multiple fast-paced projects at the same time.
Minimum Bachelor’s degree in Mechanical or Biomedical Engineering (or equivalent).

Technologies

ISO 9001
SolidWorks
SmartSheet
Microsoft Office (Excel, Outlook, PowerPoint)
Vision

Preferred Skills and Experience

MS degree in an engineering discipline, preferably Mechanical or Biomedical Engineering.
Experience with SolidWorks.
Prior experience working in an FDA or ISO regulated environment, preferably medical device.
Experience with fabrication methods including injection molding, hydrogel molding, and silicone molding or casting.
Experience resolving quality issues from production or assembly, with familiarity with Good Manufacturing Practices.
Experience with design of experiments and statistical testing.
Experience in lean manufacturing, Six Sigma, and standardization techniques.
Experience with packaging design, selection, and vendor management.

How to Apply

Apply with your most current resume.
For details, contact Vishal Pal at vishal.p@maxonic.com or (408) 400-2309.

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1mo ago

Engineer I or II

Duke Energy Durham, NC

Durham, NC

1mo ago Closed

Full time Engineering Software Engineering

This position is no longer accepting applications (closed Oct 21, 2026).

Job Description

Duke Energy is hiring an Engineer I or Engineer II to provide engineering/technical expertise and support studies, documentation, and team planning.

Responsibilities

Provide engineering and technical expertise and guidance to identify, analyze, and resolve problems of increasing scope and complexity
Support team decision-making aligned to business goals through planning, organizing, estimating, scheduling, and monitoring of work activities
Adapt to changing priorities and differing situations and make decisions that can affect team work
Prepare thorough, accurate technical reports, correspondence, documentation, calculations, and sketches for well-defined problems and analyses
Conduct engineering and related studies
Complete routine engineering projects with minimal oversight, with increasing ability to manage project schedules and interfaces
Increase competency to design, operate, and maintain systems with moderate impact on existing systems
Apply fundamental engineering concepts, practices, and procedures and strengthen technical and analytical competencies
Develop positive working relationships to coordinate work activities
Demonstrate effective verbal and written communication skills
Maintain accurate records and files
Support company goals and represent Duke Energy positively and professionally

Requirements

Graduate from a four-year college or university with a Bachelor of Science in Engineering from an ABET-accredited program
A master’s degree in engineering may be considered in lieu of the B.S. in Engineering degree
Minimum 2 years of relevant engineering experience

Basic Requirements by Level

Engineer I: B.S. in Engineering from an ABET-accredited program, and/or a master’s in engineering in lieu of the B.S.
Engineer II: B.S. (ABET-accredited) and/or master’s in engineering in lieu of the B.S., plus minimum 2 years of relevant engineering experience

Preferred Qualifications

Passing grade on the Engineering Fundamentals Exam
Increasing proficiency in principles of project management
Experience in the utility industry
Department-specific experience applicable to the hiring department
Demonstrated advancing application of engineering theories and principles
Increasing proficiency in researching engineering and design issues, evaluating alternatives, and preparing and presenting recommendations
Good written and oral communication skills

Working Conditions and Travel

Location: Durham, NC (hybrid)
Working model: Hybrid Mobility Classification
Site access: Some business units may require visits to field sites and/or plants
Travel: 15-25%

Additional Notes

This position may be filled as Engineer I or one level higher as Engineer II, depending on the selected candidate’s experience
To be considered, you must possess all basic/required qualifications
Relocation assistance: No
Union/represented position: No
Visa sponsorship: No. Must have the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future

Application deadline: Submit your application by 11:59 PM on Monday, September 28, 2026.

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1mo ago

Developer - Analytics Engineer

Duke Health Durham, NC

Durham, NC

1mo ago Closed

Full time Azure DevOps Business Intelligence CI/CD

This position is no longer accepting applications (closed Oct 18, 2026).

Job Description

Duke Health is hiring an Analytics Engineer to support Department of Pharmacy leadership with governed reporting, analytics, and decision support solutions.

Responsibilities

Collaborate with Pharmacy leadership and subject matter experts to understand business needs, prioritize work, and deliver solutions aligned to strategic and operational goals.
Provide stakeholder updates on progress, risks, dependencies, and opportunities.
Design, develop, validate, document, and maintain reporting and analytics solutions to deliver accurate, timely, and actionable information.
Build and maintain SQL queries, data transformations, and governed analytics assets supporting pharmacy operations, quality initiatives, and regulatory reporting.
Develop and maintain semantic modeling and analytics assets used for decision support.
Translate complex healthcare data and analytic findings into clear insights for frontline operational teams and senior executive leadership.
Support quality improvement, patient safety, medication stewardship, and operational excellence through analytical consultation and data-driven recommendations.
Work with multidisciplinary teams to improve data collection, reporting efficiency, data quality, and operational performance.
Follow analytics engineering best practices, including documentation, source control, peer review, testing, and deployment processes.

Requirements

Bachelor’s degree in a related field, or four years of equivalent technical experience required.
Follow all policies and procedures set forth by DUHS/DHTS/ACE as they pertain to the role.
Basic understanding of core data platforms and structures related to the domain, including Clarity and Caboodle.
Basic understanding of analytics and BI technologies and terminology related to the role.
Ability to transform data into meaningful deliverables using analytics and BI tools.
Ability to translate business and technical requirements into deliverables such as data extracts and reports.
Basic knowledge of SQL query debugging.
Respond to customer requests for assistance as assigned and prioritized by the manager.
Maintain clear, timely, and accurate communication with the manager or business analyst regarding request status.
Maintain analytics engineering documentation and metadata as assigned (for example, GitLab artifacts or data dictionaries).
Participate in documentation, source control, peer review, testing, and deployment processes.
Demonstrate advanced domain understanding, including related data, workflows, tools, and semantic models (as applicable by level).
Work with stakeholders to understand business needs and perform business analysis independently (as applicable by level).
Translate business requirements into technical, data, and semantic model requirements independently (as applicable by level).
Write/modify accurate SQL queries independently (thresholds vary by level).
Basic knowledge of SQL query performance tuning (as applicable by level).
Can write complex SQL inclusion/exclusion criteria for cohort development (as applicable by level).
Mentor team members on SQL questions/tuning (as applicable by level).
Ability to locate data elements independently (as applicable by level).
Participate in peer review of SQL, data transformations, and semantic model design.
Actively participate in data quality assurance and submit requests for new or enhanced data structures, tables, and attributes.
Actively seek participation in special projects and accomplish assignments with minimal supervision (as applicable by level).
Manage multiple projects to completion in a timely manner (as applicable by level).
Develop and present topics as assigned by the customer and/or ACE team (as applicable by level).
Active participation in Duke Analytics Community or other applicable networking forums (as applicable by level).

Technology Stack

SQL, Microsoft Fabric, Power BI, Tableau
Epic Clarity, Epic Cogito, Epic
Azure DevOps (ADO), Git, GitLab, CI/CD
SSIS, ADF, SQL Server Agent, Python, UNIX
OMOP, PCORnet, UNOS
Lakehouse, Data Warehouse, Dataflows, Pipelines

Work Location

Durham, NC (hybrid)
Routine onsite presence is not required
Candidates should expect periodic onsite attendance to support collaboration, relationship building, requirements gathering, project work, and stakeholder engagement
Onsite frequency varies based on business needs, project activities, and customer engagement requirements

Education / Experience Notes by Level

Level 1: No experience beyond the minimum education (or equivalency) requirement.
Level 2: Two years of directly related experience required; prior experience with Microsoft Fabric, GitLab, and CI/CD practices preferred.
Level 3: Four years of directly related experience required; prior experience with Microsoft Fabric, GitLab, and CI/CD practices preferred.
Licensure / Certification: None required; preferred certification in analytics engineering technologies as appropriate for the position.

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2mo ago

Applied Machine Learning Engineer

Vulcan Elements Durham, NC

Durham, NC

2mo ago Closed

Full time Artificial Intelligence Big Data Data Analysis

This position is no longer accepting applications (closed Sep 24, 2026).

Job Description

Vulcan Elements is hiring an Applied Machine Learning Engineer (onsite) to design and deliver the data infrastructure and pipelines that support operational analytics and AI/ML workloads. The role spans platform selection, data architecture, ETL/ELT development, and data quality practices with required handling for CUI and ITAR data.

Key Responsibilities

Design and own Vulcan’s data architecture from operational data stores through ETL pipelines to the analytics and AI layer
Evaluate and select platforms for the data Lakehouse, ETL tooling, and operational databases, considering scalability, compliance needs, operational burden, and cost
Review, refine, and implement data architecture design documents, ensuring technical soundness and CUI and ITAR data handling requirements are addressed
Make and document key platform and design decisions with sufficient clarity to support future team members
Ensure the architecture can scale from pilot plant to full-scale facility without requiring fundamental redesign
Apply engineering practices across version control, testing, observability, and documentation, and maintain these standards as the data team grows
Design and build ETL pipelines moving data from operational data stores into the data Lakehouse with contextual enrichment for analytics and AI workloads
Build dependable ingest paths for structured data, time-series data, files, images, and other outputs from manufacturing and lab systems
Collaborate with engineering, operations, and IT to understand data flows, dependencies, and integration needs, then translate them into pipeline and architecture decisions
Identify and remove manual data workflows, replacing them with monitored and reliable pipelines
Diagnose and resolve data quality issues across the stack, with monitoring designed into pipelines to surface problems early
Define data models for operational queries, analytical workloads, and future AI and ML applications
Own data contextualization standards so each data point includes the metadata required to make it meaningful
Contribute to schema design and payload definitions for operational data stores to improve consistency and legibility
Support reporting and visibility tools that provide operations and leadership with clear insight into process and quality data
Write technical documentation covering architecture decisions, data models, pipeline designs, and operational runbooks

Required Qualifications

8+ years of experience in data engineering, data infrastructure, or a closely related technical role, with a proven track record of owning and delivering production systems
Experience designing and building data lakes, Lakehouses, or analytical data stores; ability to weigh platform tradeoffs and defend selection decisions
Strong experience designing and building ETL/ELT pipelines that enrich and contextualize data
Deep fluency in data modeling for both operational and analytical workloads, able to design schemas that meet present needs while preserving future options
Experience with relational databases (PostgreSQL, SQL Server, or similar), with confidence writing and debugging SQL
Comfort operating in a fast-moving environment with a small team, making decisions with incomplete information and documenting them for future colleagues
Strong communication skills across technical and non-technical stakeholders, translating operational needs into data architecture decisions
Must be a U.S. Person due to required access to U.S. export-controlled information or facilities

Technology Stack

PostgreSQL, SQL Server
InfluxDB, TimescaleDB
Delta Lake, Apache Iceberg
Airflow, Prefect, dbt
Python, SQL
AWS, Azure, GCP
MQTT
CUI, ITAR, EAR

Desired Skills

Experience with time-series databases (InfluxDB, TimescaleDB, or similar) used in industrial and IoT contexts
Familiarity with industrial data concepts such as historian data, process tags, and OT/IT integration, including manufacturing-focused data challenges
Experience working with or alongside a Unified Namespace or MQTT-based data architecture, and understanding how industrial messaging infrastructure maps to the data layer
Familiarity with data Lakehouse platforms and open table formats (Delta Lake, Apache Iceberg, or similar)
Experience with ETL orchestration tools (Airflow, Prefect, dbt, or similar)
Comfort with scripting and lightweight development (Python, SQL, or similar) for pipeline development and data quality tooling
Familiarity with cloud platforms (AWS, Azure, GCP) and experience evaluating on-premises versus cloud tradeoffs for data infrastructure
Experience working in a controlled information environment, including familiarity with handling requirements for CUI or export-controlled technical data under ITAR or EAR
Experience in manufacturing, industrial, or operations-heavy environments

Location

Onsite in Durham, NC. The role begins in Durham and is expected to move to Benson, NC upon completion of a new facility.

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2mo ago

Data Engineer

BioAgilytix Durham, NC

Durham, NC

2mo ago Closed

Full time Backend Developer Analytics API

This position is no longer accepting applications (closed Sep 18, 2026).

Job Description

BioAgilytix is seeking a hands-on Data Engineer technical lead to design, build, and support its Enterprise Data Platform. This onsite role in Durham, NC focuses on delivering trusted, governed, production-ready data pipelines, dimensional and semantic models, and certified data products that support laboratory operations, analytics, sponsor reporting, regulatory compliance, and AI initiatives.

What you will help deliver

Scalable enterprise data platforms that enable high-quality, governed data products for analytics, scientific operations, sponsor reporting, regulatory compliance, and AI initiatives.
Production-grade ELT pipelines integrating data from laboratory information systems (LIMS), ERP, CRM, APIs, sponsor systems, cloud applications, and other enterprise sources.
Modular, reusable transformation frameworks using modern ELT practices, including automated testing, documentation, lineage, version control, and deployment automation.
Dimensional data models, semantic models, and governed datasets based on established enterprise business definitions.
Validated, traceable, and auditable pipelines supporting regulated laboratory operations and enterprise reporting with data integrity, reproducibility, lineage, and compliance with GxP, GLP, HIPAA, and 21 CFR Part 11, aligned with enterprise data governance standards.
Automated data validation and reconciliation, data quality controls, audit logging, monitoring, observability, and operational alerting to help ensure reliability.
Platform improvements across performance, scalability, security, governance, and operational efficiency.
Operational support including production monitoring, incident resolution, root cause analysis, and continuous reliability enhancements.
Sponsor-facing data delivery through harmonization, transformation, validation, lineage, and regulatory reporting processes.
Certified, governed, and AI-ready data products that support enterprise analytics, machine learning, semantic search, and generative AI initiatives.
Collaboration with Laboratory Operations, Quality teams, IT, and business stakeholders to deliver scalable, reusable, governed solutions.

Core requirements

Bachelor’s degree in computer science, Information Systems, Engineering, Mathematics, Data Science, or a related field (Master’s preferred).
5+ years of experience in Data Engineering, Data Management, Software Engineering, Business Intelligence, or related technical disciplines, preferably within life sciences, biotechnology, pharmaceuticals, CROs, healthcare, or other regulated industries.
3+ years hands-on experience designing, developing, and supporting enterprise-scale data engineering solutions in production environments.
3+ years hands-on experience architecting, developing, and administering enterprise solutions using Snowflake, including performance optimization, security, governance, workload management, and operational support.
Strong hands-on experience with dbt Cloud or dbt Core for modular transformations, automated testing, documentation, lineage, and deployment.
Demonstrated expertise in enterprise dimensional data modeling (star schemas, conformed dimensions, slowly changing dimensions, snapshot fact tables, and analytical data warehouse design).
Experience designing semantic models, enterprise business vocabularies, ontology-driven data products, or knowledge graph concepts.
Strong proficiency in SQL and Python.
Experience with enterprise integration using ETL/ELT platforms such as Talend, Fivetran, or equivalent tools.
Experience integrating enterprise applications via REST APIs, GraphQL APIs, file-based interfaces, Change Data Capture (CDC), and event-driven messaging platforms.
Experience with AWS (S3, Lambda, ECS, Glue) and/or Azure.
Experience designing, validating, and maintaining certified enterprise data products with documented business definitions, transformation logic, lineage, ownership, and lifecycle management.
Experience implementing least-privilege security, RBAC, data masking, row-level security, encryption, secrets management, and secure data sharing.
Experience supporting enterprise production data platforms, including incident management, root cause analysis, operational monitoring, performance tuning, release management, and platform reliability engineering.
Experience working with Laboratory Information Management Systems, bioanalytical data, sponsor deliverables, and regulated laboratory environments is strongly preferred.
Expert proficiency in SQL and Python, including Snowflake architecture such as Snowpark, Dynamic Tables, Streams, Tasks, and data sharing/security/governance/workload management.
Strong DataOps and engineering practices including Git, GitHub Actions, CI/CD, Infrastructure-as-Code, automated testing, and observability.
Excellent communication, documentation, and collaboration skills, with the ability to work independently on complex assignments and escalate decisions when needed.
Ability to navigate a fast-paced, evolving data landscape, demonstrating resilience and flexibility.

Technologies you will work with

Snowflake, Snowpark, Dynamic Tables, Streams, Tasks, data sharing
dbt Cloud, dbt Core (models, snapshots, macros, tests, semantic models, documentation, lineage)
ELT, dimensional modeling, semantic modeling
Talend, Fivetran, REST APIs, GraphQL APIs, CDC, event-driven messaging
AWS (S3, Lambda, ECS, Glue) and/or Azure
RBAC, Power BI, Sigma, Tableau, semantic reporting platforms
Git, GitHub Actions, Infrastructure-as-Code, DataOps

Benefits

Medical Insurance (HDHP with HSA; PPO)
Dental Insurance
Vision Insurance
Flexible Spending Account (medical; dependent care)
Short Term Disability | Long Term Disability
Life Insurance
Paid Time Off (4 weeks per year)
Parental Leave
Paid Holidays (9 scheduled; 5 floating)
401k with Employer Match
Employee Referral Program

Additional position details

Full-time role; some flexibility in hours with availability during core work hours per the BioAgilytix Employee Handbook.
Occasional weekend, holiday, and evening work needed.
No supervisory responsibilities.
Reports to the Data Management Lead; works independently on complex engineering initiatives with infrequent supervision and instructions.
Preferred credentials: Master’s degree.

Physical demands

Ability to work in an upright and/or stationary position for up to eight (8) hours per day.
Occasional mobility needed; occasional crouching and stooping with frequent bending and twisting of upper body and neck.
Light to moderate lifting and carrying up to 20 pounds, including luggage and a laptop computer.
Ability to use office equipment and computer software; ability to communicate information and ideas effectively.
Regular and consistent attendance; ability to perform under stress and multi-task.