Senior Data Engineer (Data Platform) at Gallatin | El Segundo, United States
Company/Recruiter: Gallatin
Opportunity snapshot
A practical decision guide for this role: compare the facts below with your experience before applying.
Opportunity type
Job
Location
United States of America, El Segundo
Work arrangement
Location-based; remote work not stated
Compensation
Not disclosed
Closing date
Nov 27, 2026
Employer
Gallatin
Prepare your application
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MorrJobs preparation notes
Role shape: Responsibility-led role with a detailed skills profile.
Evidence to prepare: Connect your CV or portfolio to Proven experience as a Data Engineer or in a similar role.; Strong proficiency in SQL and at least one programming language (e.g., Python, Scala).. Use one concrete example that shows you can Design, build, and optimize large-scale data pipelines and ETL processes..
Check before applying: Confirm that United States of America, El Segundo and the stated work arrangement suit you, check the closing date of Nov 27, 2026.
- Apply before Nov 27, 2026.
- The application route is available to verified Talent accounts.
- Compensation is not disclosed in the listing; confirm it during the employer's process.
Job Overview
The Senior Data Engineer will be responsible for designing, developing, and maintaining robust and scalable data pipelines and platforms. You will work closely with data scientists and software engineers to ensure data quality, accessibility, and performance, enabling Gallatin to deliver on its critical mission.Key Responsibilities
- Design, build, and optimize large-scale data pipelines and ETL processes.
- Develop and maintain data warehousing solutions and data lakes.
- Ensure data integrity, reliability, and security across the platform.
- Collaborate with cross-functional teams to define data requirements and solutions.
- Implement monitoring and alerting for data infrastructure health.
- Contribute to architectural decisions for the data platform.
Requirements
- Proven experience as a Data Engineer or in a similar role.
- Strong proficiency in SQL and at least one programming language (e.g., Python, Scala).
- Experience with cloud data platforms (e.g., AWS, GCP, Azure).
- Familiarity with big data technologies (e.g., Spark, Kafka, Hadoop).
- Experience with data warehousing concepts and tools.
- Excellent problem-solving and analytical skills.
What We Offer
- Opportunity to work on impactful national security projects.
- A collaborative and growth-oriented work environment.
- Competitive compensation and benefits package.
- Professional development opportunities.
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