Senior Data Engineer

Build and Maintain Data Pipelines to: Implement transformations to clean, standardize, or enrich data. Implement methods for data traceability and lineage. Troubleshoot issues such as schema changes, missing data, or performance bottlenecks. Your job functions will include but may not be limited to: Develop and maintain ETL/ELT pipelines to ingest, transform, and load data from a variety of sources into our data warehouse or data lake. Design scalable and reliable data architectures, including schemas, workflows, and integration layers. Optimize data models, ensuring alignment with analytics and operational needs. Collaborate cross-functionally to understand data requirements and provide technical solutions. Monitor pipeline performance, troubleshoot data issues, and implement continuous improvements. Ensure data quality, integrity, and security throughout the entire data lifecycle. Automate data workflows using scripting, orchestration tools, and CI/CD practices. Maintain documentation related to data processes, standards, and best practices. Design scalable and reliable data architectures, including schemas, workflows, and integration layers. Conduct design reviews, validate solution architectures, and ensure alignment with enterprise standards. Bring Solid understanding of DoD frameworks, security requirements, and best practices for classified and unclassified environments. You bring a forward-looking mindset, anticipating needs and designing scalable, future-ready data structures. You approach complexity with innovation and drive, identify and resolve challenges quickly. You rigorously deliver high-quality, actionable solutions that enhance mission execution. You understand the Department of Defense reference and compliance architectures. You are passionate about continuous learning and growth, and seek opportunities to challenge yourself. 7+ years of relative working experience as a Senior Data Engineer or in a related field. Strong experience with ETL/ELT development and building data pipelines. Proficiency with at least one major programming language (e.g., Python, Java, Scala). Experience working with SQL and relational databases (e.g., PostgreSQL, SQL Server, MySQL). Exposure and familiarity with data services on modern cloud platforms (AWS, Azure, GCP, etc.). Familiarity with modern data warehousing technologies (e.g., ADLS, Redshift, BigQuery, Synapse). Bachelor's degree Computer Science, Software Engineering, or a related field. Must be a US Citizen. The pay range for this position is $140,000/year to $190,000/year; however, base pay offered may vary depending on established government contract ranges, job-related knowledge, skills, and experience, and other factors. Base pay information is based on market location. Applications will be accepted on an ongoing basis. This posting will be renewed periodically until the position is filled. LI-MS1 LI-Onsite