Durham, NC

Engineer Jobs in Durham, NC

10 jobs found

Include remote jobs

Today

Engineer I or II

Duke Energy Durham, NC

Durham, NC

Today

Full time Engineering Software Engineering

Apply Now

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.

View full job page →

2d ago

Developer - Analytics Engineer

Duke Health Durham, NC

Durham, NC

2d ago

Full time Azure DevOps Business Intelligence CI/CD

Apply Now

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.

View full job page →

26d ago

Applied Machine Learning Engineer

Vulcan Elements Durham, NC

Durham, NC

26d ago

Full time Artificial Intelligence Big Data Data Analysis

Apply Now

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.

View full job page →

1mo ago

Data Engineer

BioAgilytix Durham, NC

Durham, NC

1mo 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.

View full job page →

1mo ago

Analytics Engineer

Duke Health Durham, NC

Durham, NC

1mo ago Closed

Full time Analyst Analytics Azure Platform

This position is no longer accepting applications (closed Sep 7, 2026).

Job Description

Duke Health Technology Solutions is seeking an Analytics Engineer to act as a dependable analytics partner to Nursing and Case Management leadership. In this onsite Durham, NC role, you will build reporting and decision support capabilities that help translate operational, quality, patient safety, and performance improvement priorities into actionable insights.

How you’ll contribute

Collaborate with Nursing and Case Management leaders to understand business needs, prioritize initiatives, and deliver data-driven solutions aligned with strategic and operational objectives.
Provide timely updates to stakeholders on project progress, risks, dependencies, and opportunities.
Design, develop, validate, document, and maintain reporting and analytics solutions to ensure information is accurate, timely, and actionable.
Own recurring reporting processes, focusing on data integrity, consistency, documentation quality, and reliable delivery of performance metrics and scorecards.
Convert complex analysis into clear insights for audiences ranging from frontline operational teams to senior executive leadership.
Support quality improvement, operational excellence, and performance improvement through analytical consultation and data-driven recommendations.
Work with multidisciplinary teams to improve data collection, increase reporting efficiency, and strengthen operational performance.

Education and experience

Bachelor’s degree in a related field, or four years of equivalent technical experience.
Experience expectations by level:
- Level 1: No experience required beyond the minimum education (or equivalency) requirement.
- Level 2: Two years of directly related experience required.
- Level 3: Four years of directly related experience required.

Certifications and preferred qualifications

Licensure/Certification: None required. Preferred certification in development technologies, as appropriate for the position.
Preferred: Experience in a healthcare environment with understanding of clinical, nursing, case management, quality, and patient safety operations.
Preferred: Experience with Epic Clarity and/or Caboodle data models.
Preferred: Experience with Microsoft Fabric, Power BI, and Tableau.
Preferred: Strong SQL development, data modeling, and analytical problem-solving skills.

Tools and technologies

Clarity, Caboodle
SQL, ETL
Reporting/visualization tools
GitLab
Tableau
SSIS, IWS
Python
Microsoft Fabric
Power BI
UNIX
OMOP, PCORnet, UNOS
RW SQL

Work location and schedule

This is a hybrid position requiring a minimum of two days per week onsite to support collaboration with Nursing and Case Management leadership.

View full job page →

2mo ago

Electrical Engineer

NEWCOMB & BOYD LLP Durham, NC

Durham, NC

2mo ago Closed

Full time Electrical Engineering BIM CAD

This position is no longer accepting applications (closed Aug 2, 2026).

Job Description

The Electrical Engineer position at NEWCOMB & BOYD LLP is based in Durham, NC with a hybrid work arrangement. The role focuses on the design, analysis, and implementation of MEP-T systems for small to medium projects, leading design efforts and coordinating with multidisciplinary teams under minimal supervision.

Responsibilities

Lead the design of discipline-specific systems for small to medium projects using Revit and modeling/calculation tools.
Assist senior engineers with complex designs, plans, and calculations.
Perform calculations and simulations.
Review product submittals and shop drawings.
Respond to RFIs for assigned scope.
Conduct site visits and prepare reports.
Prepare technical documentation and participate in project meetings.
Ensure project delivery within agreed schedules and budgets.
Comply with QA/QC procedures and assist in developing project workplans.

Requirements

Bachelor’s degree in Electrical Engineering.
4+ years of engineering experience in the AEC industry.
Proficient in Revit and discipline-specific software.
Strong grasp of building codes and design standards.
Relevant professional licensure or certification preferred (EIT, PE, CPD, FPE, RCDD, etc.).

Technologies

Revit

Benefits

Flexible, hybrid work schedule
401(k) plan with company match
Employee and family social events
Health and fitness programs
Many additional benefits

Leadership & Management Skills

Capable of guiding junior staff and leading internal reviews.
Able to balance multiple priorities effectively.

Communication & Business Skills

Skilled in preparing reports, proposals, and client communications.
Comfortable representing the firm to clients for smaller projects.

Supervisory Responsibility

No direct reports but may mentor junior engineers or interns.

Work Environment

Office-based with regular site visits; must adhere to safety requirements.

Physical Demands

Ability to sit or stand for long periods, use standard office equipment, and occasionally lift or move up to 25 lbs. Site visits may involve ladders, uneven terrain, and varied weather.

View full job page →

2mo ago

Electrical Engineer [Hybrid]

NEWCOMB & BOYD LLP Durham, NC

Durham, NC

2mo ago Closed

Full time Electrical Engineering BIM Construction Software

This position is no longer accepting applications (closed Aug 2, 2026).

Job Description

NEWCOMB & BOYD LLP offers a hybrid work opportunity in Durham, NC for an entry-level Electrical Engineer. This role supports the design, analysis, and implementation of MEP-T systems under close supervision, with hands-on exposure to Revit and project coordination. You will join a collaborative team that prioritizes mentorship, practical learning, and staying current with industry trends.

Responsibilities

Support the design and development of MEP-T systems using Revit and discipline-specific modeling and calculation tools.
Perform basic calculations and simulations under guidance.
Assist in reviewing product submittals and shop drawings.
Draft initial responses to RFIs for review by senior staff.
Conduct site visits under supervision to assess project progress.
Prepare technical reports and documentation.
Participate in internal project meetings, providing technical support as needed.
Stay current with industry trends and advances in MEP engineering.
Complete assigned work within the project workplan timeframes.
Submit work for review by senior engineers prior to client delivery.

Requirements

Bachelor’s degree in Electrical Engineering.
EIT certification preferred or in progress.
Familiarity with Revit and Microsoft Office Suite.
Basic understanding of engineering principles and building systems.

Technologies

Revit
Microsoft Office Suite

Leadership & Management Skills

Reliable, accountable, and receptive to feedback.
Ability to follow directions and learn new concepts quickly.

Communication & Business Skills

Strong verbal and written communication skills.
Able to work effectively in a multidisciplinary team environment.

Supervisory Responsibility

No direct supervisory responsibilities. May mentor co-ops or interns under supervision.

Work Environment

Primarily office-based with occasional project site visits requiring adherence to safety protocols and use of PPE.

Physical Demands

Ability to sit or stand for extended periods, operate standard office equipment, and occasionally lift or move up to 25 lbs. Site visits may involve uneven surfaces, ladders, and varied weather conditions.