Senior Data Engineer

Empower, Innovate, Impact!  At Team A-TEK, we EMPOWER people to drive INNOVATION that IMPACTS mission!

A-TEK operates at the intersection of mission and innovation by applying our deep domain expertise across the federal markets. Embracing our digital-first strategy, A-TEK provides enhanced capabilities in application development, digital transformation, enterprise IT, and scientific services. Our solutions are designed to modernize, automate, secure, protect, and enhance the operations of our federal clients, ensuring they stay ahead in a rapidly evolving digital landscape.

Our work is fueled by a passion to serve our clients’ needs and to protect the safety and welfare of Americans. That passion shapes how we nurture our most valuable asset – Our Employees. A-TEK actively cultivates the talent that drives our success and fosters a creative, challenging, and mission-driven work environment for current and future employees.

Senior Data Engineer (Cloud & Data Modernization)

A-TEK is seeking a Senior Data Engineer to support enterprise data modernization, cloud-native data engineering, analytics enablement, and data governance initiatives for Federal customers. This role focuses on designing and implementing scalable data platforms, automated ETL/ELT pipelines, and modern cloud-based data solutions supporting scientific, operational, and mission-critical environments.

The ideal candidate combines strong hands-on engineering expertise with the ability to collaborate across technical and non-technical teams to modernize data ecosystems and improve enterprise data accessibility, quality, governance, and analytics capabilities.

NOAA experience is preferred. This position is remote and requires the ability to obtain and retain a public-trust clearance.

Responsibilities

Design, develop, and optimize enterprise data warehouses and large-scale ETL/ELT pipelines

Engineer cloud-native data processing solutions supporting structured, semi-structured, and unstructured data

Develop scalable ingestion and transformation frameworks for high-volume and real-time data processing

Support modernization of legacy data environments into cloud-based architectures

Design and implement data models, schemas, and database structures optimized for analytics and reporting

Develop metadata-driven automation, data quality validation, lineage tracking, and governance capabilities

Build and maintain reporting, analytics, and dashboarding solutions supporting operational and executive decision-making

Collaborate with architects, engineers, analysts, and business stakeholders to define technical requirements and implementation strategies

Support AI/ML and advanced analytics initiatives through scalable data engineering and MLOps-ready infrastructure

Implement Infrastructure-as-Code (IaC), CI/CD pipelines, and automated deployment processes

Perform database tuning, query optimization, and performance engineering activities

Support secure data management and compliance with Federal security and data governance requirements

Provide technical leadership, mentoring, and engineering best practices across project teams

Required Qualifications

Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field

7+ years of experience in data engineering, data warehousing, database engineering, or related disciplines

Strong experience designing and implementing ETL/ELT pipelines and enterprise data warehouse solutions

Experience with distributed processing frameworks and cloud-native data ecosystems

Strong experience with data modeling, database design, and dimensional modeling techniques

Experience implementing data governance, metadata management, data quality, and data integrity controls

Proficiency with SQL and Python-based data engineering and automation

Experience with cloud data platforms and services in AWS, Azure, or Google Cloud

Experience supporting large-scale, modern data modernization initiatives

Strong verbal and written communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders

Experience collaborating across cross-functional teams in Agile or DevSecOps environments

Preferred Qualifications

NOAA or broader Federal civilian agency experience

Experience supporting scientific, environmental, geospatial, or research data environments

Experience with GIS or geospatial data platforms

Experience with AI/ML data engineering or MLOps support

Experience with Infrastructure-as-Code and CI/CD automation

Familiarity with metadata management, data catalogs, and enterprise governance frameworks

Experience with real-time streaming or event-driven data architectures

AWS or Azure certifications

Preferred Technical Skills

SQL Server, PostgreSQL, Oracle, or cloud-native databases

Azure Data Factory, SSIS, Informatica, dbt, Airflow, or similar ETL frameworks

Azure Synapse, Databricks, Spark, Hadoop, Kafka, or distributed analytics platforms

Python, Pandas, NumPy, PySpark

Power BI, Tableau, SSRS, or enterprise analytics platforms

Docker, Kubernetes, Git, Azure DevOps, Jenkins, Terraform, or similar DevOps technologies

REST APIs and data integration services

Compensation

Salary Range: $160,000 – $170,000 annually (commensurate with experience, professional certifications and location)

Benefits: Health, dental, and vision insurance; 401(k) with employer match; paid time off; professional development opportunities.

Candidates may use tools (including AI) for proofreading or formatting; however, using any tool to fabricate, exaggerate, or misrepresent qualifications, experience, or work product is not permitted. We may assess application materials for job-related technical depth, internal consistency, and demonstrated hands-on experience, including through follow-up questions, skills assessments, or reference checks. Verification of education may be requested before or during the hiring process.

For security and identity verification purposes, participants may be asked to temporarily disable virtual backgrounds during portions of the call.

Misrepresentation or falsification may result in removal from further consideration. Candidates who need a reasonable accommodation in the application or interview process may request one.

A-TEK, Inc. is an Equal Opportunity/Affirmative Action employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or status as a qualified individual with a disability, or Vietnam era or other protected Veteran status.