Data Engineer

Job Title:

Data Engineer

Requisition #: 1569

Location:

Omaha, NE

Clearance Level: Top Secret/SCI required

• Design, build, and maintain highly scalable, reliable, and efficient data pipelines for extracting, transforming, and loading (ETL/ELT) data from various sources into data warehouses, data lakes, and other storage systems.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure the efficient flow of data across various platforms and systems. Develop, deploy, and maintain real-time data streaming solutions to process and deliver data with low latency (using tools like Apache Kafka, Flink, or Spark Streaming).
• Optimize and automate data workflows, ensuring that data pipelines are efficient, reliable, and capable of handling increasing data volumes.
• Oversee the development of data models and schema designs to ensure accurate, accessible, and high-performance data storage for analytics and reporting.
• Ensure data quality, integrity, and consistency by implementing data validation, monitoring, and error-handling mechanisms.
• Monitor and troubleshoot performance bottlenecks in data systems, resolving issues with data processing and data access.
• Stay current with emerging trends and best practices in data engineering, recommending new tools, technologies, and methods to enhance existing infrastructure.
• Mentor and guide junior data engineers, promoting best practices in data engineering and fostering a collaborative, high-performance team environment.

• Typically has a Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field (Masters degree preferred) and 5+ years of experience in data engineering or software engineering, with demonstrated experience in designing and managing complex data pipelines, or equivalent relevant work experience; e.g., each year of work experience may be substituted for each year of education required.

5+ years

• Strong understanding of data validation, model testing, and performance evaluation techniques.
• Experience with data visualization and storytelling using tools such as Tableau, Plotly, or Matplotlib.
• Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences.

• 4+ years of experience in applied data science, machine learning engineering, or data pipeline development.
• Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark).
• Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, Tensor Flow, XGBoost, MLflow).
• Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry).

Onsite in a SCIF in STRATCOM

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.