Data Engineer

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Basic Qualifications

• Bachelor’s Degree in Engineering, Computer Science, or other related discipline
  •1+ Years of experience working with Big Data Technologies such as Spark, Kafka, & Presto
  •Knowledgeable in multiple programming languages (Python, Bash, etc.)
  •Knowledge of various data processing architectural design patterns
  
  -MUST BE U.S. CITIZEN

Executive Order

COVID-19 continues to significantly impact our employees, families and communities. With employee health and safety as our top priority, and as a federal contractor, Lockheed Martin is taking action to address the increased risk and uncertainty COVID variants pose in the workplace and ensuring we meet our commitments to national security.

To uphold safety for all employees, we will continue to request vaccination status for all Lockheed Martin employees including new hires. All current and newly hired employees who are unvaccinated will be required to adhere to onsite safety protocols.

Job Code/Title

E9812:Data Engineer

Job Description

This is an exciting virtual opportunity that will encourage collaboration and teamwork! This role will offer a 4x10 schedule (4-day work weeks) and is eligible for amazing benefits to include, but not limited to 401k, health/dental/vision benefits, paid vacation and more! Read below and apply today!

Join the Lockheed Martin EBDT organization that is driven by speed, agility, and technical innovation. We are seeking an individual who is passionate, resourceful, and tactical to work side-by-side in a dynamic team of IT professionals that drives continuous results. This is an exciting opportunity to work as a trusted team member in assisting with the development of effective solutions to the IT organization!

The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a high energy team member with a strong working knowledge in Data Engineering and Infrastructure Design to support the Data Ops portfolio for the business. In this role you will be part of the AI Factory team consisting of colleagues possessing varying skill sets including; front-end and back-end developers, data scientists, machine learning / AI specialists, product managers, and other data engineers. The selected candidate will focus on Data Ops but will be included as part of a broader range of projects across the LAIC portfolio. The team is focused on exploiting small, innovative and agile teams to rapidly iterate and mature solutions from prototypes to deployment for utilization across the Lockheed Martin enterprise.
The selected candidate will focus on…
• Creating automation to ensure that data is ingested and ready for use by ML teams
• Creation of data models within and management of a schema registry
• Work with product owners and customers to understand the relevant test cases
• Develop and utilize tools to continuously monitor infrastructure and data
• Develop and implement automated regression test plans.

MUST BE U.S. CITIZEN

Desired skills

• Ability to focus on needed deliverables, working within a DevSecOps team
  •Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD]
  •Understanding of a variety of data storage and query systems (Object Storage, SQL, NoSQL)
  • Has a strong teaming mentality, can work collaboratively to develop optimum solutions
  • Knowledge of various data processing architectural design patterns
  •1+ Years writing microservices
  •1+ Years of Experience working with Kubernetes
  • Past experience working in a multi-functional team in an applied machine learning context involving streaming and batch processing.

Other Important Information

By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.