Data Engineer Associate - Early Career

Standard Job Description

Delivers full-stack data solutions across the entire data processing pipeline. This relies on systems engineering principles to design and implement solutions that span the data lifecycle to: collect, ingest, process, store, persist, access, and deliver data at scale and at speed. It includes knowledge of local, distributed, and cloud-based technologies; data virtualization and smart caching; and all security and authentication mechanisms required to protect the data.Build data pipelines that clean, transform, and aggregate unorganized data into databases or data sources that are ready for analysis; Design and implement data solutions by defining functional capabilities, security, back-up, and recovery specifications; Work through all stages of a data solution lifecycle, e.g., analyze / profile data, create conceptual, logical and physical data model designs, architect and design ETL, reporting and analytics; Maintain data systems performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases; Define standards, best practices, and certification processes for data objects

Basic Qualifications

• Bachelor's degree in Computer Science or STEM Field

• AI interest and knowledge

• Understanding of SQL

• Some experience with a database manager (PG Admin for DBeaver, SQL Server Manager)

• Data flow support – Python

• Basic system design skills – knowing inputs and flows

• Strong analytical and problem-solving skills, with the ability to think critically and creatively.

• Experience in supporting change management initiatives or process improvement projects.

• Ability to work collaboratively with cross-functional teams and influence stakeholders.

• Ability to quickly absorb new information and concepts, with an enthusiasm for ongoing learning and professional development.

• Ability to prioritize and manage multiple tasks and projects, with a strong attention to detail and a focus on delivering high-quality results

Desired Skills

• Experience in AWS cloud (using Lamda, knowing how to work in Glue)

• Experience with ETL workflows (Apache Airflow, Pysparx)

Pay Information

Full-Time Salary Range: $65500.00 - $121700.00

At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally.

The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.

Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.

• Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.

• For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.