Data Engineer Stf - E4

Requisition  Eligible?:
Yes

ERP amount: $50 LMRecognition

Relocation:
No

Type:
Exempt

Shift: 1

Clearance Prior to Start:
None Final Clearance:
None Pay Transparency: $ - $Experience Level: Experienced Professional FT/PT/Casual:
Full Time Department : RMS Sikorsky Manufacturing Business Unit: RMS Sikorsky Manufacturing 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  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, Computer Engineering, Information Systems, Data Science, or a related technical field. Equivalent experience may be accepted in place of the degree.
3+ years building and maintaining data pipelines and processes in production.

Strong SQL skills and experience with relational databases such as SQL Server, Oracle, PostgreSQL or MySQL.Experience supporting reporting and analytics tools such as Tableau or SSRS.Hands-on experience with data modeling and schema design.

Desired Skills Programming experience in Python.

Knowledge with version control (Git) and the software development lifecycle

Knowledge with a major cloud platform (AWS, Azure or GCP) and its data services.

Knowledge deploying and managing containerized data workloads on Open Shift.

Pay Information Full-Time Salary Range: $118000.00 - $219100.00

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.