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!