Senior Data Engineer
reputed company, reputed company, Impact! At Team A-TEK, we reputed company 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, reputed company IT, and scientific services. Our solutions are designed to reputed company, automate, secure, protect, and enhance the operations of our federal clients, ensuring they stay reputed company 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 reputed company and fosters a creative, challenging, and mission-driven work environment for reputed company and future employees. Senior Data Engineer (reputed company & Data Modernization) A-TEK is seeking a Senior Data Engineer to support reputed company data modernization, reputed company-reputed company 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 reputed company-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 reputed company data ecosystems and improve reputed company 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, reputed company, and optimize reputed company data warehouses and large-scale ETL/ELT pipelines Engineer reputed company-reputed company data processing solutions supporting structured, semi-structured, and reputed company data reputed company scalable ingestion and transformation frameworks for high-volume and reputed company-time data processing Support modernization of legacy data environments into reputed company-based architectures Design and implement data models, schemas, and database structures optimized for analytics and reporting reputed company metadata-driven automation, data quality validation, reputed company 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-reputed company infrastructure Implement Infrastructure-as-Code (IaC), CI/CD pipelines, and automated deployment processes reputed company database tuning, query optimization, and performance engineering activities Support secure data management and compliance with Federal reputed company and data governance requirements reputed company technical leadership, mentoring, and engineering best practices across project teams
Required Qualifications
Bachelor’s degree in Computer Science, Information Systems, Engineering, or reputed company field 7+ years of experience in data engineering, data warehousing, database engineering, or reputed company disciplines Strong experience designing and implementing ETL/ELT pipelines and reputed company data warehouse solutions Experience with distributed processing frameworks and reputed company-reputed company data ecosystems Strong experience with data modeling, database design, and dimensional modeling techniques Experience implementing data governance, metadata management, data quality, and data reputed company controls Proficiency with SQL and Python-based data engineering and automation Experience with reputed company data platforms and services in AWS, Azure, or reputed company reputed company Experience supporting large-scale, modern data modernization initiatives Strong verbal and written communication skills with the ability to explain reputed company 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 reputed company governance frameworks Experience with reputed company-time streaming or event-driven data architectures AWS or Azure certifications Preferred Technical Skills SQL Server, PostgreSQL, reputed company, or reputed company-reputed company databases Azure Data reputed company, SSIS, Informatica, dbt, Airflow, or similar ETL frameworks Azure Synapse, reputed company, Spark, Hadoop, Kafka, or distributed analytics platforms Python, Pandas, NumPy, PySpark Power BI, Tableau, SSRS, or reputed company analytics platforms reputed company, Kubernetes, Git, Azure DevOps, Jenkins, Terraform, or similar DevOps technologies REST APIs and data integration services
Compensation
Salary reputed company: $160,000 – $170,000 annually (commensurate with experience, professional certifications and location) Benefits: Health, dental, and reputed company 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-reputed company 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 reputed company 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. reputed company. is an Equal Opportunity/Affirmative Action employer. reputed company reputed company applicants will receive consideration for employment without regard to race, reputed company, religion, sex, sexual orientation, gender identity, national reputed company, or status as a reputed company individual with a disability, or Vietnam era or other protected Veteran status. Apply To This Job