Sentinel Principal Data Engineer/ Sr Principal Data Engineer
| Company | Northrop Grumman |
|---|---|
| Location | Hill AFB, UT, USA, Huntsville, AL, USA |
| Salary | $95300 – $196700 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- Bachelor’s Degree with 5 years of relevant experience; Master’s Degree with 3 years’ experience; PhD with 1 year experience or 4 additional years of relevant experience in lieu of degree.
- Must be a US Citizen with the ability to obtain and maintain a U.S. Government DoD Secret security clearance
- Must have the ability to obtain and maintain Special Access Program (SAP) approval within a reasonable period of time as determined by the company to meet its business need
- 2+ years of demonstrable experience developing production-deployed ETL pipelines.
- Experience developing data integration solutions across multiple source systems.
- Understanding of data warehousing concepts and methodologies.
- Proficiency in development languages such as Python, Scala, or Java.
- Proficiency in query languages such as SQL, SPARQL, GraphQL, or Cypher.
- Familiarity with data pipeline solutions such as Apache Spark, Apache Airflow, and Apache Kafka.
- Understanding of data modeling and its importance in data integration.
- Proven track record as a self-starter who takes the initiative to solve hard problems.
- Experience working in an Agile Software Development environment.
- Demonstrated team-player enabling joint success and a continuous learner.
Responsibilities
- Provide innovative technical solutions to previously unsolved data management and integration challenges.
- Collaborate with data scientists, analysts, and other stakeholders to translate data requirements into technical solutions.
- Design, develop, optimize, and maintain scalable production ELT pipelines.
- Perform data preparation, cleaning, integration, and automation from heterogeneous sources.
- Ensure data integrity and system availability.
- Diagnose and address data integration issues efficiently.
- Identify, evaluate, and recommend core technologies and strategies.
- Monitor and optimize system performance.
- Assist in the development of standard program data models.
- Design and develop data processing pipelines that generate automated quality and completeness metrics for program data products.
- Provide technical expertise to enable a shared vision within an Agile Team.
- Create and maintain technical documentation related to data pipelines and processes.
- Stay abreast of industry standards and trends in data management, processing, and utilization.
Preferred Qualifications
- Experience with data platforms (e.g., Databricks, Snowflake, Amazon Redshift, Palantir, etc.) and technologies for processing large datasets.
- Familiarity with distributed platforms such as Kubernetes or those offered by cloud providers (AWS, GCP, or Azure).
- Familiarity with graph data storage and analysis solutions such as Neo4j, AWS Neptune, and TigerGraph.
- Understanding of semantic data modeling and tools/formats such as JSON-LD, RDF, and OWL.
- Familiarity with data extraction from DoD Accusation lifecycle digital engineering tools such as IBM Doors, No Magic Teamwork Cloud, Siemens Teamcenter, PLM, ERP systems.
- Master’s degree or above in data engineering.
- Active DoD Secret Clearance with an investigation date within the last 6 years is highly desirable.