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Data Engineer

PALMER COLLEGE FOUNDATION Davenport, IA

Davenport, IA

Today

Full time Backend Developer Azure Azure Data Engineer

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Job Description

Data Engineer at the Palmer College Foundation in Davenport, IA (onsite), focused on governed data delivery and cloud data platform support.

Responsibilities

Design, build, and support reliable ETL/ELT pipelines and data integrations that move information across enterprise applications, databases, cloud platforms, APIs, and external partners.
Administer and enhance Snowflake data structures, including security, transformations, and automated processing for operational and analytical workloads.
Prepare governed data to support reporting, analysis, and institutional decision-making.
Support data migrations and system implementations using mapping, transformation, testing, reconciliation, and production deployment.
Monitor and troubleshoot data processes; strengthen data quality and security controls.
Maintain technical documentation and collaborate with College stakeholders and vendors during integrations and implementations.

Requirements

Bachelor’s degree or an equivalent combination of relevant education and professional experience.
Three years of professional experience in data engineering, data warehousing, data integration, database development, or a closely related field.
Proven experience developing production SQL and Python solutions and supporting ETL/ELT pipelines in a cloud or enterprise setting.
Experience with relational databases, APIs, structured data files, source control, testing, troubleshooting, and technical documentation.
Excellent customer service and communication skills, including effective collaboration with individuals at all levels and with external vendors/support partners.
Strong organization, accuracy, thoroughness, accountability, and commitment to work quality.
Regular and reliable attendance; availability for scheduled evening or weekend work and response to critical production issues as required.

Technologies

ETL/ELT, SQL, Python
Azure Data Factory, Azure Blob Storage, Azure Batch, Azure DevOps
Snowflake
REST APIs, CSV, XML, JSON, SFTP

Required Technical Skills and Competencies

ETL/ELT development, orchestration, data integration, transformation, staging, file processing, migration, and reconciliation.
Advanced SQL and Python scripting for data processing, automation, validation, testing, and integration.
Azure identity, monitoring, networking, and security services in support of Azure Data Factory, Azure Blob Storage, Azure Batch, and Azure DevOps.
Snowflake administration and development, including dimensional and relational design, schemas, tables, views, stages, ingestion, transformations, workload management, and query optimization.
Authentication methods and automated file transfers.
Metadata management and cataloging, including lineage, data products, business glossaries, stewardship, and technical documentation.
Pipeline monitoring, logging, alerting, incident diagnosis, data reconciliation, root-cause analysis, and data quality controls.
Technical writing, source-to-target mapping, stakeholder communication, requirements analysis, estimation, and cross-functional problem-solving.
Role-based access control, secrets management, secure data transfer, least privilege, and responsible handling of regulated and sensitive data.

Additional Skills and Qualifications

Strong interest in institutional data and building practical solutions for complex data challenges.
Ability to translate business requirements into supportable technical designs and explain technical concepts to nontechnical stakeholders.
Strong analytical, troubleshooting, organizational, time-management, documentation, and communication skills.
Ability to work independently, manage competing priorities, and collaborate effectively in a service-oriented, team-based environment.
Commitment to accuracy, security, maintainability, continuous improvement, and customer service.
Ability to quickly learn College goals, business processes, data domains, systems, and operating constraints.
Experience designing, building, testing, deploying, monitoring, and maintaining data pipelines, platforms, applications, and warehouse objects that meet institutional standards.
Ability to manage data storage and access, optimize schemas and queries, and protect data quality and integrity.
Ability to prioritize and complete work under production deadlines, frequent interruptions, and multiple concurrent responsibilities.
Participation in scheduled maintenance, production support, and after-hours incident response when required.
Hands-on experience with Azure Data Factory, Azure Blob Storage, Azure Batch, Azure DevOps, and Azure monitoring or security services.
Hands-on Snowflake administration and development experience, including role-based access, stages, tasks, stored procedures, query optimization, and warehouse cost management.
Experience supporting enterprise data migrations, system implementations, data reconciliation, and production cutovers.
Knowledge of higher-education data domains and privacy/security requirements, including FERPA, HIPAA, and PCI DSS.

Organizational Relationships

Reports to the Director of Applications and has support responsibility to all other departments and College personnel as necessary.

Physical Requirements and Work Environment

Sedentary to light work in a ventilated, lighted, and temperature-controlled office setting.
Frequent need to stand, stoop, walk, sit, lift light objects up to 10 pounds, and perform similar actions during the workday.
Frequent computer use, keyboard and telephone use, and extended focused screen work.

Other Duties

Performs additional duties as assigned to support institutional data management, system integration, reporting, operational efficiency, and technology initiatives.
Performs all responsibilities consistent with Palmer College of Chiropractic policies, including Equal Employment Opportunity and Affirmative Action requirements.

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1d ago

AI Data Engineer - AI Training data

Blueprint Technologies Seattle, WA

Seattle, WA

1d ago

$150k - $160k/yr Full time Python Artificial Intelligence Azure Data Engineer

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Job Description

The AI Data Engineer will design and operate Python-driven data processing pipelines that turn structured and unstructured sources into training-ready AI datasets. This onsite role in Seattle focuses on OCR and text workflows, large-scale batch processing, data quality validation, and dataset management within Azure, working closely with data science and engineering teams.

Responsibilities

Design, build, maintain, and optimize Python-based pipelines for large-scale data ingestion, processing, and transformation.
Create AI datasets from scratch by collecting, organizing, cleaning, validating, and preparing both structured and unstructured raw data.
Develop OCR and text workflows, including text extraction, normalization, filtering, segmentation, and deduplication.
Run and oversee large-scale batch processing jobs, troubleshoot job failures, and implement automated retry and recovery mechanisms.
Implement automated data quality checks to detect missing or corrupted files, incomplete outputs, duplicate records, formatting issues, and metadata inconsistencies.
Produce high-quality training datasets through filtering, tokenization, text segmentation, and conversion into standardized formats.
Handle bulk data uploads, downloads, and synchronization between local processing environments and Azure storage platforms.
Maintain organized datasets with consistent naming conventions, metadata management, version control, and source traceability.
Optimize processing performance, memory usage, storage efficiency, and cloud resource consumption.
Monitor dataset statistics, processing coverage, quality metrics, and exceptions, and generate operational reports.
Collaborate with applied scientists and engineering teams to translate AI training requirements into scalable and repeatable data workflows.
Maintain documented, tested, and version-controlled code while adhering to established data security and governance requirements.

Requirements

5+ years of professional experience in data engineering, data pipeline development, or data science with substantial hands-on programming responsibilities.
Strong Python proficiency, including building reusable modules and working through debugging, testing, logging, and error handling.
Experience building datasets from scratch, including ingestion, cleaning, transformation, validation, and preparation.
Hands-on experience processing large-scale structured and unstructured datasets using memory-efficient, parallel, or distributed processing approaches.
Practical experience with Azure Blob Storage or Azure Data Lake Storage, including bulk transfers, storage organization, and access troubleshooting.
Experience with Python data-processing libraries and formats such as pandas, NumPy, JSON/JSONL, CSV, and Parquet.
Working knowledge of SQL, Git, Linux environments, and command-line tools.
Strong troubleshooting, analytical, and problem-solving skills with an emphasis on data quality and integrity.
Ability to communicate technical challenges and collaborate across engineering and data science teams.

Preferred Qualifications

Experience building OCR pipelines for scanned documents, multilingual text, or document-layout data.
Experience with Azure Databricks, Azure Machine Learning, Azure Data Factory, or similar workflow orchestration tools.
Familiarity with Hugging Face Datasets, AI/ML tokenization, near-duplicate detection, and separation of training and evaluation data.
Experience curating and preparing large-scale datasets for AI or machine learning model training.
Knowledge of distributed data processing frameworks and technologies such as PySpark.
Experience with dataset lineage, reproducibility, containerized environments, and CI/CD practices.
Experience optimizing pipelines for performance, reliability, scalability, and cost efficiency.

Technologies

Python
Azure Blob Storage, Azure Data Lake Storage
pandas, NumPy
JSON, JSONL, CSV, Parquet
SQL, Git, Linux, OCR
tokenization
Azure Databricks, Azure Machine Learning, Azure Data Factory
Hugging Face Datasets
PySpark
CI/CD

Location and Schedule

Seattle, WA (onsite)

Schedule: 5 days onsite at Seattle, WA

Salary

USD 150,000 - 160,000 per year

For candidates based in Washington State, the anticipated salary range is $150,000–$160,000 USD/Annually.

Benefits

Medical, dental, and vision coverage
Flexible Spending Account
401k program
Competitive PTO offerings
Parental Leave
Opportunities for professional growth and development

Applicant Accommodations

If you need a reasonable accommodation to participate in any part of the application or interview process, please contact recruiting@bpcs.com.

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6d ago

Senior Software Engineer (Full Stack)

SRI Resources Burbank, CA

Burbank, CA

6d ago

$80 - $83/hr Contract Backend Developer Senior API

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Job Description

Hybrid in Burbank, CA (also aligned with Seattle, WA). Contract role with 4 days per week on-site and Fridays remote. Join SRI Resources to support system integration solutions focused on HR data exchange between internal and external systems, spanning application development, APIs, data management, and release delivery.

What you’ll do

Lead end-to-end development for system integration applications: analyze, design, build, test, and debug solutions focused on HR data between subscribing systems
Design and implement services using XML, XSLT, JSON, XPath and related web service methodologies
Create user-friendly interfaces using scripting languages and front-end frameworks and libraries
Develop and manage server-side programming and APIs
Manage databases for HR data across the technology landscape for multiple subscribing systems
Support project and DevOps delivery from requirements gathering to deployment
Translate business requirements into technical solutions by partnering with business and stakeholder teams while following best practices and industry standards
Run fit-gap analysis to identify automation opportunities and improve existing processes
Collaborate with third-party vendors plus Enterprise Applications and Infrastructure teams on deliverables
Mentor junior team members and help ensure deliverables are met
Analyze data points to inform critical decisions and drive project delivery
Support incident troubleshooting by conducting root cause analysis and identifying resolutions
Contribute to impact analysis during release cycles
Maintain comprehensive technical documentation for integrations and applications, including document versions and archives

What you bring

5+ years developing software applications
5+ years hands-on experience configuring systems
5+ years experience with relevant technologies including OData, REST, SOAP, FTP/SFTP, JDBC, CSV, XML, JSON, XSL/XSLT, encryption standards such as PGP and x509
5+ years with JavaScript, CSS3, HTML5 and libraries such as React, Angular, jQuery
5+ years server-side programming experience including .NET, Java, Ruby, or Python
3+ years API development using web services and SOA methodologies
3+ years database experience with SQL Server, Oracle, MongoDB, and MySQL, plus caching mechanisms (server, browser, CDN, query, in-memory such as Redis and Memcached, and application caching)
Strong testing lifecycle experience including Unit Testing, User Acceptance Testing, Regression Testing, and defect remediation
Comfort with Agile and Waterfall deliveries and experience with Scrum, Kanban, or similar methodologies
Expertise in secure software development and secure coding practices
Ability to translate business requirements into technical specifications, act as a liaison between teams, and keep abreast of new technologies
Strong communication and presentation skills, including working with different levels in a project team and collaborating in a matrix organization
Ability to prioritize and multitask, and work independently under minimal guidance

Contract details

Contract position with 12+ month duration support for system integration solutions. Pay rate: USD 80 - 83 per hour. Schedule: 4 days per week on-site in Burbank, CA or Seattle, WA, with Fridays remote.

Benefits

Medical, dental, and vision coverage
401(k) with company match
Short-term disability
Life insurance with AD&D

Tools and technologies (examples)

AWS, Azure, TypeScript, SQL, HCL, HTML/CSS, Angular 18, Node.js 20, Express, ExcelJS, Vitest, PostgreSQL 16 (JSONB), Lambda, API Gateway, CloudFront, S3, Secrets Manager, EventBridge, RDS, GitLab, npm workspaces, esbuild, Angular CLI, XML, XSLT, XPath, JSON, OData, REST, SOAP, FTP/SFTP, JDBC, CSV, PGP, x509, JavaScript, CSS3, HTML5, React, jQuery, .NET, Java, Ruby, Python, SOA, SQLServer, Oracle, MongoDB, MySQL, Redis, Memcached, Unit Testing, User Acceptance Testing, Regression Testing, Agile, Waterfall, Scrum, Kanban.

Focus area and must-haves

Full Stack Engineer supporting the team handling Workday upgrades (HCM/SAP/Workday is a plus, not required)
Strong full stack engineering background with AWS/Azure, scripting, databases, and web services
Proactive, self-starter communicator capable of leading technical discussions and asking questions

Education

Bachelor’s degree in Information Systems, Computer Science, Software, Electrical or Electronics Engineering, or comparable education.

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9d ago

AI Data Engineer

Experis Redmond, WA

Redmond, WA

9d ago

$37 - $40/hr Full time Artificial Intelligence Azure Data Engineer Data

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Job Description

AI Data Engineer role supporting Applied Sciences teams with OCR pipeline monitoring and AI training dataset readiness in Redmond, WA.

Location: Redmond, WA (100% onsite)
Schedule: Monday to Friday, 40 hours/week (no estimated overtime)
Pay: USD 37–40 per hour (hourly)
Experience: 2+ years minimum
Education: B.S. degree

Responsibilities

Monitor active OCR pipelines and track processing queues, job status, completion rates, and failed or stalled batches
Evaluate generated OCR outputs versus source documents using sampling and established quality criteria
Maintain dataset metadata, inventories, and dataset versioning to support complete, organized datasets for downstream AI model training
Manage Azure file operations, including uploads, downloads, and transfers of source files and generated datasets; verify completion, file counts, and integrity
Coordinate reprocessing workflows by documenting issues, escalating technical risks to engineers, and keeping operational trackers and dashboards up to date

Requirements

B.S. degree and 2+ years hands-on experience in data analysis, data operations, data quality assurance, or dataset management
Hands-on experience with cloud storage, including file organization and uploads/downloads
Experience validating data completeness, accuracy, consistency, and metadata quality
Ability to use dashboards, processing tools, and logs to monitor workflows and investigate exceptions
Familiarity with common document and data formats, including PDF, text, CSV, and JSON

Technologies

Azure
PDF
CSV
JSON

Benefits

Medical and Prescription Drug Plans
Dental Plan
Vision Plan
Health Savings Account
Health Flexible Spending Account
Dependent Care Flexible Spending Account
Supplemental Life Insurance
Short Term and Long Term Disability Insurance
Business Travel Insurance
401(k), Plus Match
Weekly Pay

What’s in it for me

Hands-on AI training data operations experience by supporting OCR processing and dataset readiness
Clear impact on data quality and risk mitigation for confidential, high-value model training datasets
Structured work with a Monday–Friday schedule (40 hours/week) and no estimated overtime
Collaboration with engineers and applied scientists to identify issues and coordinate reprocessing
Chance for extension: Yes

Upon completion of the waiting period, consultants are eligible for:

Medical and Prescription Drug Plans
Dental Plan
Vision Plan
Health Savings Account
Health Flexible Spending Account
Dependent Care Flexible Spending Account
Supplemental Life Insurance
Short Term and Long Term Disability Insurance
Business Travel Insurance
401(k), Plus Match
Weekly Pay

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13d ago

Data Engineer

The Strawhecker Group, LLC Omaha, NE 🇺🇸 Remote

Omaha, NE

13d ago

Contract Analytics Big Data Business Intelligence

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Job Description

The Strawhecker Group, LLC is seeking a Data Engineer contractor to design, build, and maintain data pipelines and infrastructure that support payment analytics, reporting, and business intelligence products. This role focuses on Python and SQL development, with pipelines primarily ingesting and transforming data into BigQuery on Google Cloud Platform.

Key Responsibilities

Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data from internal systems and third-party payment sources.
Build and optimize data models and warehouse structures in BigQuery to support analytics, reporting, and product needs.
Develop and maintain data pipeline orchestration using tools such as Cloud Composer (Airflow) or Dataflow.
Ensure data quality, integrity, and consistency through validation, testing, and monitoring.
Assist with migrating rules-driven transformation logic from Excel spreadsheets into versioned SQL tables to support historical reloads and reproducible processing.
Collaborate with a multidisciplinary team including Data Engineers, Back-End Software Engineers, Product Managers, and Data Scientists.
Implement data security and access controls appropriate for sensitive payment and merchant data, aligned with PCI DSS and internal governance standards.
Translate product and analytics requirements into reliable, well-documented datasets.
Optimize pipeline performance and cost efficiency across Google Cloud Platform data services.
Address difficult technical problems and deliver results on schedule.
Handle ad hoc business requests by converting ambiguous questions into reliable datasets, analyses, and data products, while continuously improving ingestion and transformation pipelines for speed, scalability, and cost efficiency.

Required Qualifications

3+ years of recent hands-on experience in data engineering or a related backend engineering role.
Bachelor’s degree in Computer Science or a related field.
Strong SQL skills, including data modeling for analytics workloads.
Proficiency in Python for data pipeline development.
Hands-on experience with Google Cloud Platform, especially BigQuery and related data services.
Experience with workflow orchestration tools such as Cloud Composer, Apache Airflow, or Dataflow.
Strong understanding of OLAP and analytics-oriented data warehousing concepts, including partitioning, clustering, and performance tuning.
Experience with structured and semi-structured data such as JSON, CSV, and Parquet.
Demonstrated ability to complete projects on time.
Experience across phases of the software development life cycle, best practices, and Agile Software Development.

Technologies

Python, SQL, BigQuery
Google Cloud Platform
Cloud Composer, Airflow, Dataflow
dbt, Looker Studio, Tableau
Excel, JSON, CSV, Parquet
PCI DSS

Contract Details, Location, and Schedule

This role starts as a 1099 independent contractor engagement with an opportunity to transition to full-time W2 employment based on performance and business need. During the 1099 phase, the work can be performed remotely from anywhere in the United States.

Upon transition to W2 employment, the position will be onsite in Omaha, NE. The W2 schedule follows a standard office environment, Monday through Friday, with some scheduling flexibility, business casual attire, and off-street free parking in Omaha. Specific contract terms, including scope, duration, and payment terms, will be defined in a separate Independent Contractor Agreement.

Compensation and Benefits

1099 Contract Phase: Compensation is structured as a contract rate as agreed in the Independent Contractor Agreement. TSG provides the equipment needed for the work. As an independent contractor, you are responsible for your own tax withholding and insurance, and this phase does not include TSG’s employee benefits package.

W2 Employment Phase: TSG offers competitive compensation and an benefits package, including:

Free Fridays (1 Friday per month to be taken as PTO)
Unlimited PTO
Casual work environment
Health Insurance and Dental Insurance
Simple IRA Match
Life Insurance premiums 100% paid for by TSG

Background Checks and Security Controls

Contract-to-hire employees are subject to the same background check, access control, and security control requirements in both the 1099 and W2 phases. This includes background checks required for employment and compliance with TSG’s PCI DSS and data security policies. There is no difference in vetting or security standards between phases.

Application Requirements

Please provide a resume when applying.

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15d ago

Data Engineer & Agentic AI Lead

Vaco LLC New York, NY

New York, NY

15d ago

$150k+/yr Full time Analytics Artificial Intelligence Automation Developer

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Job Description

Vaco LLC is hiring for a hands-on Data Engineering role to build and evolve a centralized enterprise data platform with ETL pipelines and data prepared for analytics and future AI use cases.

Responsibilities

Design, build, and maintain scalable end-to-end ETL and data pipelines
Ingest data from a variety of internal and external sources
Clean, transform, validate, and structure large volumes of raw data
Handle multiple data formats, including Excel, CSV, JSON, ORC, and Parquet
Load and organize transformed datasets within database and data lake environments
Design scalable data models aligned to business and analytical requirements
Build underlying data and semantic layers used for reporting and analytics
Support the development and expansion of a centralized enterprise data platform
Work with datasets that can reach billions of rows
Prepare trusted, well-structured data for downstream use across Power BI, advanced analytics, and future AI applications
Partner with business and technical stakeholders to understand how data needs to be structured and consumed

Requirements

Strong, hands-on experience in data engineering and ETL
Proven experience personally designing and building production data pipelines
Strong SQL skills
Strong experience with data transformation and data modeling
Experience working with large, complex datasets from multiple sources
Ability to convert messy or unstructured source data into clean, usable datasets
Experience with data lakes, databases, and modern data architectures
Ability to translate business data requirements into scalable technical solutions
Comfortable working independently and owning projects from requirements through implementation

Technologies

SQL, Power BI
Excel, CSV, JSON
ORC, Parquet

Location: New York, NY (onsite)

Compensation: USD 150,000 per yearly

EEO Notice

Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, or any other protected status.
Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to full inclusion of qualified individuals and will provide reasonable accommodations for persons with disabilities.
If reasonable accommodation is needed to participate in the application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, contact HR@vaco.com.

Representation Notice

By submitting to this position, you agree that you will provide Vaco by Highspring the exclusive right to present you as a candidate for the employment opportunity.
You agree to represent information accurately and maintain confidentiality about information learned regarding the position, to the fullest extent permitted by law.
Vaco by Highspring agrees to exercise reasonable efforts to represent you through solicitation, job screening, and resume dispersal.
For residents of Ontario, Canada: this position is understood to be a current vacancy (either via Highspring as a contractor or with the client directly).

Privacy Notice

Vaco by Highspring respects your privacy and provides transparent notice of its policies.
Submissions to this position may use AI for preliminary candidate screenings focused on minimum job requirements.
More details about Vaco by Highspring’s AI use can be found at: https://www.highspring.com/ai-use-notices/.
Additional assessment beyond the initial phase will be conducted by recruiters and hiring managers.
Vaco by Highspring does not know and cannot opine on whether its client’s use of AI products in hiring.

Pay Transparency Notice

Compensation for this role depends on factors including skills, experience, training, licensure and certification requirements, office location, geographic considerations, and business needs.
The provided salary range reasonably estimates base compensation for geographies that require salary range disclosure.
Discretionary bonuses may be available.

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17d ago

Senior Data Engineer

Peraton Annapolis Junction, MD

Annapolis Junction, MD

17d ago

$176k - $282k/yr Full time Senior Big Data Data

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Job Description

Peraton is seeking a Senior Data Engineer to support a suite of web-based applications that automate compliant data management for IC data custodians. The role focuses on designing and implementing data engineering solutions that standardize data movement, routing, and reuse across concurrent, IC-provided datasets.

This position will help map and model transformation routines and document data flows that enable ingestion into the customer’s corporate repositories, supporting reliable integration across mission-critical environments.

About the role

Support web-based applications that automate data management for IC data custodians.
Facilitate capture of information and approvals to enable compliant data movement through the customer mission space.
Help standardize and simplify data movement and enable reuse and integration with downstream tools.

Responsibilities

Outline, develop, and implement data engineering solutions.
Work with numerous concurrent IC-provided data sets to identify, map, and model data transformation routines.
Support ingestion into the customer’s corporate repositories and document new and existing data flows.
Document data routing implementations across concurrent IC-provided data sets.

Requirements

Active TS/SCI with current polygraph required.
Twenty (20) years of experience in planning and leading Systems Engineering efforts.
Bachelor’s degree in a technical discipline from an accredited college or university is required.
Five (5) years of additional systems engineering experience may be substituted for a bachelor’s degree.
Working knowledge of smart data systems and entitlements.
Experience with current and evolving agency dataflow and reporting solutions.
Experience developing system requirements for performance, availability, scalability, manageability, and security for mid-to-large scale systems.
Experience leading agile development models.
Experience integrating COTS and GOTS products from multiple vendors.
Experience developing and deploying storage within clustered or cloud environments.
Experience planning and integrating secure compliant solutions based on legal, policy, and compliance directives.
Working knowledge of NiFi and comfort working in Linux; ability to interact with data ontologies (schemas) and structured data types (XML, CSV, JSON).
Database experience (MySQL/NoSQL) and analytic query experience with a platform.

Technologies

JAVA
Splunk
NiFi
Linux
XML
CSV
JSON
MySQL
NoSQL

Salary and location

Location: Annapolis Junction, MD (onsite).
Target Salary Range: USD 176,000 - 282,000 per yearly.
Employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

Benefits

Heavily subsidized employee benefits coverage for you and your dependents.
25 days of PTO accrued annually up to a generous PTO cap.
Eligibility to participate in an attractive bonus plan.
Medical, dental, vision.
Life, health savings account, short/long term disability, EAP.
Parental leave.
401(k).
Paid time off (PTO) for vacation.
Company paid holidays.

Application details

The application period is estimated to be 30 days from the job posting date.
You may be required to participate in an on-camera interview and a process to verify your identity.
Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless prior written authorization has been obtained.
All interview responses must be the candidate’s own.