Data Engineer (Hybrid)

at  Elder Research

SUMMARY OF POSITION:

Supporting DoD’s biosurveillance program and national efforts against chemical, biological, radiological, and nuclear (CBRN) threats as a Data Engineer, you will be a part of a team that focuses on gathering, interpreting, automating, standardizing, communicating, documenting, and integrating data into a command data model/data mesh network, surveillance architectures, and test detection systems.
This position will be part of our Defense and Intelligence Team serving the Departments of Defense and Homeland Security as well as the IC as our primary customers.

JOB SPECIFICATIONS/REQUIREMENTS:

• Experience with Big Data systems, ETL processes
• Experience with Amazon Web Services (AWS)
• Applying DoD Security Technical Implementation Guides (STIGs) and automating that process
• 5+ years dev experience; expertise in Python, Spark, and SQL
• Experience with Databricks and Delta Lake
• Demonstrated ability to stand up and independently manage a portfolio of data pipelines

DESIRED SKILLS:

Bachelor’s degree plus 7-10 years experience, or a Masters Degree plus 5 years of experience

• Code and add procurement data sources
• Work with data scientist and functional resources
• Support the configuration and ingestion of designated structured, unstructured, and semi-structured data repositories into capabilities that satisfy mission partner requirements and support a data analytics and DevOps pipeline to drive rapid delivery of functionality to the client;
• Maintain all operational aspects of data transfers while accounting for the security posture of the underlying infrastructure and the systems and applications that are supported and monitoring the health of the environment through a variety of health tracking capabilities;
• Automate configuration management, leverage tools, and stay current on data extract, transfer, and load (ETL) technologies and services;
• Work under general guidance, demonstrate an initiative to develop approaches to solutions independently, review architecture, and identify areas for automation, optimization, right-sizing, and cost reduction to support the overall health of the environment;
• Apply comprehension of data engineering-specific technologies and services, leverage expertise in databases and a variety of approaches to structuring and retrieving of data, comprehend Cloud architectural constructs, and support the establishment and maintenance of Cloud environments programmatically using vendor consoles;
• Engage with multiple functional groups to comprehend client challenges, prototype new ideas and new technologies, help to create solutions to drive the next wave of innovation, and design, implement, schedule, test, and deploy full features and components of solutions; and
• Identify and implement scalable and efficient coding solutions.