Senior Data Engineer

Accelint is a mission-driven technology company focused on strengthening national security and supporting critical industries. The Senior Data Engineer provides technical leadership, analytical expertise, and program oversight in the areas of data engineering, modeling and simulation, and systems analysis.

Responsibilities:

• Collaborate with software developers, data scientists, and product managers to understand requirements, gather specifications and align on project goals
• Contribute technical expertise in data engineering to design and implement data solutions that support software development initiatives
• Participate in planning sessions to develop data pipeline architecture that align with project requirements
• Design data ingestion, transformation, and storage workflows that are scalable and meet software performance requirements
• Implement data quality checks and validation procedures to ensure data accuracy and integrity within software products
• Conduct comprehensive testing, including unit, integration, and system testing ensuring application quality and functionality stay in specifications
• Debug and resolve complex software defects and issues
• Document data engineering processes, pipeline configurations, and data flows to ensure consistency and future support
• Ensure accuracy and completeness of all documentation
• Foster effective collaboration with cross-functional teams to achieve project objectives
• Communicate complex technical information clearly and effectively
• Utilize advanced software development tools and methodologies to support project requirements
• Integrate software development tools and methodologies into the workflow to improve efficiency and accuracy
• Manage projects, including planning, execution, and delivery
• Coordinate with cross-functional teams to ensure project objectives are met on time and within budget

Requirements:

• Proficient with Orchestration tools (Apache Airflow) and data processing tools (Apache Spark)
• Advanced knowledge of object storage and management of unstructured data
• Experience utilizing cross-domain solutions in a secure environment
• Advanced knowledge of containerization technologies supporting enterprise software deployment (Kubernetes, Docker, Helm, etc.)
• Proficient knowledge of data engineering workflows such as extract, transform, load (ETL) processes and data warehousing
• Advanced level knowledge of software development processes including Agile methodologies
• Conversant with object-oriented programming languages
• Excellent written and oral communication
• Bachelor's degree in engineering, science, or equivalent with demonstrated experience in technical/engineering leadership
• Current CompTIA Security + Certification
• Experience with Typescript/Express and FastAPI frameworks
• Experience with PostgreSQL
• Experience with a modern JavaScript framework (Angular, React, etc.)
• Experience with software development frameworks and libraries
• In-depth understanding of the aerospace and defense industry
• Knowledge of DoD software development policies and requirements