Data Engineer

The Data Engineer will support the design, development, and optimization of modern data pipelines and cloud-based data platforms. This role involves building scalable ETL/ELT processes, integrating structured and unstructured data sources, and enabling secure, reliable data delivery for analytics, machine learning, and operational systems.

Requirements

• Design and implement robust ETL/ELT data pipelines using tools such as Apache Airflow, Spark, dbt, Kafka, or Databricks.
• Develop and optimize workflows that ingest, transform, and publish data from diverse sources into data lakes and data warehouses.
• Support batch and real-time data integration using scalable streaming frameworks and distributed processing engines.
• Manage infrastructure-as-code deployments and collaborate with DevOps teams to ensure data pipeline reliability, scalability, and security.
• Work closely with data scientists, analysts, and product teams to deliver data that supports BI dashboards, ML pipelines, and reporting.
• Apply best practices in data governance, schema versioning, and metadata management.
• Ensure systems are compliant with applicable data privacy regulations and security frameworks, including FISMA and Section 508.
• Document pipeline workflows, technical specifications, and data lineage to support auditability and transparency.

Benefits

• Generous medical, dental, and vision plans
• Remote working opportunities
• Flexibility to balance quality work and personal life