Data Engineer

Accountabilities
The Data Engineer will be responsible for designing, developing, and maintaining enterprise data solutions while supporting data governance, analytics, and reporting initiatives. This role requires close collaboration with technical teams and stakeholders to ensure data accuracy, scalability, and operational efficiency. Develop, maintain, and optimize Databricks notebooks, workflows, and ETL/ELT pipelines using Python, PySpark, SQL, and Delta Lake. Build scalable data ingestion solutions and support Lakehouse architectures, including Bronze, Silver, and Gold data layers. Assist with performance optimization, cluster management, operational support, and implementation of data engineering best practices. Support enterprise Master Data Management initiatives by improving data quality, standardization, matching, and stewardship processes. Contribute to data governance activities, including metadata management, lineage tracking, business glossary development, and security practices. Partner with business users to understand reporting requirements and create datasets supporting dashboards, analytics, and management information needs. Troubleshoot data quality, reporting, and integration issues across multiple enterprise systems. Participate in Agile ceremonies, technical discussions, code reviews, documentation activities, and knowledge-sharing sessions. Collaborate with cross-functional teams to deliver reliable, secure, and scalable data solutions. Requirements The ideal candidate will bring strong data engineering experience, hands-on expertise with Databricks and cloud-based platforms, and the ability to collaborate effectively in enterprise environments. Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related technical discipline. Minimum of 5 years of experience designing, developing, and supporting enterprise data solutions using Databricks. Minimum of 5 years of experience with SQL and Python/PySpark development. Proven experience building ETL/ELT pipelines and working with Delta Lake and Lakehouse architectures. Experience supporting AWS cloud environments and related data services. Experience with enterprise data governance, data quality initiatives, and data management practices. Active Databricks certification, such as Databricks Certified Data Engineer Associate, Professional, Data Analyst Associate, Machine Learning Associate, or another current Databricks certification. Strong understanding of Apache Spark, Unity Catalog, AWS services, Snowflake, Power BI, Tableau, or similar technologies is preferred. Familiarity with Master Data Management solutions such as Informatica MDM, Reltio, or Profisee is a plus. Experience with Agile methodologies, Jira, and collaborative software development practices. Federal consulting experience and experience supporting Public Trust programs are highly preferred. Must be a U.S. Citizen and able to obtain and maintain Public Trust Clearance. Ability to meet federal identity verification requirements and complete suitability processes. Strong analytical, problem-solving, communication, and teamwork skills. Benefits Competitive salary range of $145,000 – $165,000 annually, based on skills, experience, education, location, and qualifications. Flexible work options, including remote opportunities within the United States. Opportunity to work on impactful technology solutions supporting important government initiatives. Comprehensive healthcare benefits package. Paid time off and additional leave programs. 401(k) retirement plan with employer matching. Supplemental benefits and employee discount programs. Education reimbursement for certifications, degrees, and professional development opportunities. Support for continuous learning, career growth, and technical advancement. Employee engagement activities, wellness initiatives, virtual and in-person events, and community-focused programs. Collaborative environment focused on innovation, teamwork, and delivering meaningful impact.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
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