Data Engineer Associate

Lockheed Martin•Huntsville, AL

2d•Onsite

About The Position

The coolest jobs on this planet… or any other… are with Lockheed Martin Space. We offer unique career opportunities and challenges on a program with a rich history and exciting future. We help keep this nation and our allies secure. The THAAD Program is experiencing significant growth, and we need your expertise to help deliver amazing new technologies to our customers. We have an immediate opportunity for a dynamic, hardworking associate-level Data Engineer who wants to join our mission.

Requirements

Bachelor’s degree in Computer Science, Data Science, Software Engineering, Computer Engineering, Systems Engineering, Mathematics, Statistics, or a related technical field
Experience with at least one programming or scripting language, such as Python, Java, SQL, or similar
Familiarity with databases, data structures, data pipelines, or data processing concepts
Basic understanding of data cleaning, data transformation, data validation, and data quality practices
Experience working with structured or unstructured data
Secret clearance required to start
Must be a US Citizen for consideration

Nice To Haves

Ability to work collaboratively with technical teams, including software engineers, systems engineers, data scientists, or AI/ML engineers
Strong analytical, troubleshooting, and problem-solving skills
Strong communication skills and the ability to document technical work clearly
Familiarity with relational and/or non-relational databases, including basic database design, querying, data storage, and data retrieval concepts

Responsibilities

Support the design, development, and maintenance of data pipelines used to collect, process, and analyze program data
Work with technical users to understand data needs, identify data sources, and help develop solutions that support analytics, automation, and AI/ML use cases
Assist with ingesting, cleaning, transforming, and organizing structured and unstructured data, including time-series, test, telemetry, and operational data
Help develop and maintain data workflows, scripts, dashboards, and tools that improve access to high-quality data
Support data validation, data quality checks, and troubleshooting efforts to ensure data is accurate, reliable, and usable
Collaborate with software engineers, systems engineers, AI/ML engineers, and program stakeholders to enable data-driven decision-making
Maintain awareness of emerging data engineering, analytics, cloud, and AI/ML-enabling technologies
Document data processes, workflows, and technical approaches to support repeatability, maintainability, and knowledge sharing