As Sr. Data Engineer, you’ll 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

We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you’ll do:

• 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
• Maintain an existing collection of web scraping tools used as the initial step of the ETL process
• Identify and implement scalable and efficient coding solutions

What you’ll need to succeed:

• Possess a minimum of an active Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI) eligibility
• Bachelor’s degree plus 7-10 years of experience; OR a Masters Degree plus 5 years of experience.
• Experience with Big Data systems, including Apache Spark / Databricks
• Experience with ETL processes;
• Experience with Amazon Web Services (AWS), Microsoft Azure, or MilCloud 2.0;
• Applying DoD Security Technical Implementation Guides (STIGs) and automating that process
• Experience with multiple coding languages
• Experience engineering data pipelines across multiple security domains / classified networks