Data Engineer

Data Engineer | Chantilly, VA, United States | Hybrid

We're hiring on behalf of a well-established organization that is a leader in its field, seeking a motivated Data Engineer to join their dynamic team. This role is crucial for designing, ingesting, cleansing, transforming, loading, and displaying significant amounts of data to support critical projects. If you're a customer-oriented professional with a passion for data, this is a fantastic opportunity to make a significant impact.

The Role

• Design, implement, and optimize data extraction, cleansing, transformation, and loading systems within a Big Data environment.
• Develop custom solutions to ingest and leverage new and existing data sources.
• Collaborate with data scientists to build data pipelines for AI/ML workflows.
• Organize and maintain comprehensive Data Layer documentation for team understanding and utilization.
• Optimize the entire data lifecycle, from initial planning through final display.
• Work with teammates, vendors, and users to create and implement more efficient data methods.

What You'll Need

• High School Diploma with 4+ years of relevant data engineering, software development, or programming experience.
• Proven experience with data analysis, parsing, and programming languages (e.g., Python, Java) alongside strong SQL/database skills.
• Hands-on experience with Java, J2EE, EJB, JDBC, Spring, and RESTful APIs.
• Experience with data pipelining systems (e.g., Apache Airflow) and ETL processes in a Linux environment.
• Demonstrated experience across the full data lifecycle, from ingest to display, in a Big Data setting.
• An active TS/SCI with Polygraph clearance is required.

What's On Offer

• Opportunity to work on challenging and impactful data projects.
• A collaborative team environment focused on innovation and efficiency.
• Hybrid work model offering a balance between office and remote work.
• Chance to contribute to the development of modern AI/ML workflows.

Apply via Haystack today!