Data Engineer

BLN24 • Mclean, VA

3d

About The Position

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. This position plays a key role in federal data modernization efforts, which require high-performance data access, governance, and real-time processing capabilities.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Minimum 3 years of experience in data engineering or backend data systems.
• Experience building and maintaining data pipelines using tools such as Apache Airflow, Spark, Kafka, Databricks, dbt, or Flink.
• Strong proficiency in SQL and one or more programming languages such as Python or Scala.
• Experience working with cloud-based data infrastructure (e.g., AWS, Azure, or GCP), including data lakes and data warehouses such as Delta Lake, Snowflake, BigQuery, or Redshift.
• Familiarity with containerization (Docker, Kubernetes), CI/CD workflows, and data version control systems such as DVC.
• Understanding of modern data architecture patterns including Lakehouse, event streaming, and batch processing models.
• Proven ability to lead data pipeline projects, mentor junior engineers, and collaborate across engineering and analytics teams.

Nice To Haves

• Experience with real-time data processing and streaming analytics use cases.
• Knowledge of data cataloging, lineage tracking, and metadata management tools.
• Familiarity with data privacy and compliance frameworks (e.g., GDPR, HIPAA, IRS Publication 1075).
• Experience collaborating with analytics, business intelligence, or ML engineering teams in production environments.
• Exposure to observability tools and practices to monitor pipeline health and data quality.
• Prior experience in a federal data engineering environment or regulated enterprise setting.

Responsibilities

• 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

• BLN24 benefits are game changing. We like our team to play hard and that means they need to be taken care of — physically, financially, and emotionally. We make sure to keep them in the game by giving them access to generous medical, dental, and vision plans.
• You can join one of the fastest growing companies headquartered in the Washington DC Metro Area. We give you the opportunity to work in different sectors, so you have the chance at variety while maintaining stability.
• Flexibility at BLN24 allows each individual the opportunity to balance quality work and their personal lives. Depending on projects, we allow remote working opportunities so you can always be in the game no matter where you call home.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees