Lockheed Martin Corporation

Data Engineer Sr

United States full-time Senior $76,700 - $198,000
full-time Senior level Technology & IT Salary listed Curated
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About the role

Standard Job Description

Our amazing people are on a mission to make a difference in the world and every single day we use our skills and experiences to create, design and build solutions to some of the worlds’ hardest engineering problems. This position is for a Data Engineer Staff within the Lockheed Martin Chief Data and Analytics Office (CDAO) supporting Space System’s Business Innovation, Transformation and Enterprise Excellence (BITEE) Organization – Data & Analytics COE. This is a great opportunity for someone who is looking to work in a fast-paced data organization where the latest technologies will be developed and applied. We are looking for someone with strong hands on experience in all layers of data integration and analytics to support our various efforts. The ideal candidate has experience and a solid understanding of delivering full-stack data solutions across the entire data processing pipeline. The work location for this position is virtual. Duties and responsibilities include, but are not limited to: - Exhibit a degree of ingenuity, creativity, proactiveness, and resourcefulness when collecting, processing, and making data available for analysis while working within an agile environment - - Collaborate across Business Transformation to strategize and implement common business processes and systems design for Data Warehouse & Analytics - Work through all stages of data pipeline to discover, analyze, model, digest, clean, curate, secure, aggregate, and catalog unorganized & organized data at scale and at speed - Develop solutions across data fabric for interoperability between current and emerging technologies in alignment with Space and Enterprise reference architectures

- US Citizenship Required

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

  • Experience in SAP HANA native development, including calculation view modeling and performance optimizationSQL scripting, and application lifecycle management
  • Experience with structured and unstructured data in relational or NoSQL databases, including data warehouse, hosted on-premise or in the cloud (SAP HANA, Microsoft SQL server, Oracle, etc.)
  • Experience with ETL tools such as SAP Data Services, Informatica, Tableau Prep, Altyrex or equivalents and data modeling experience using tools like Erwin
  • Experience with software engineering and building data pipeline automations using GIT & Gitlab
  • Experience with ERP, MES, or PLM systems

Desired Skills

· Demonstrated Strong SAP HANA and Data Services hands on knowledge

· Proven SAP Functional ERP knowledge/experience

· Strong Knowledge on Cloud pak for Data (CP4D)

· Hands on ci/cd pipeline using git repository

· Demonstrated process automation experience

· Excellent SQL and Debugging skills

· Experience in Python, Java, Azure will be a plus

Pay Information
GeoZone Definition: GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost-of-labor differences across the United States. Locations are assigned a Geo Zone based on the primary work location of the role.

Full-time salary range (GEOZONE 1): $106600.00 - $198000.00 Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc.

Full-time salary range (GEOZONE 2): $95900.00 - $178100.00 Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.

Full-time salary range (GEOZONE 3): $85300.00 - $158300.00Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.

Full-time salary range (GEOZONE 4): $76700.00 - $142500.00Includes metropolitan areas such as Camden, AR; Lexington, KY; Lufkin, TX; etc.

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.

Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Senior
Technology & IT API integration Data Analysis MySQL Project Management Python Senior level

Likely questions

  1. Tell us about work you have done that is close to the Data Engineer Sr role.
  2. How would you approach your first 30 days at Lockheed Martin Corporation?
  3. Which of API integration, Data Analysis and MySQL have you used recently, and what did it help you achieve?
  4. How have you led people, improved a process, or made a hard decision in a previous role?
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with API integration, Data Analysis and MySQL.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Data Engineer Sr role because I can bring practical experience in API integration, Data Analysis and MySQL, learn the team quickly, and contribute to the outcomes Lockheed Martin Corporation needs from this hire.

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