Mission Data Engineer — AWS ETL & Data Mesh

SMX

Phoenix (AZ)

On-site

USD 103,000 - 172,000

Full time

4 days ago
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Benefits offered by this job

Health insurance
Paid leave
Retirement benefits

Job summary

SMX is hiring a Data Engineer to architect, build, test, and maintain our data infrastructure for mission partners. You will design scalable ELT/ETL pipelines, implement AWS Glue, Glue Catalog, and Step Functions, and work with analytics and business teams to deliver production-ready datasets.

The role requires a Bachelor's in CS or related field, 3 years of data engineering or backend SWE experience, and an active Top Secret clearance.

Qualifications

  • Bachelor's degree in CS or related field required.
  • 3 years of professional experience in data engineering or backend SWE.
  • Active Top Secret security clearance.
  • Strong SQL and data query skills.
  • Hands-on AWS Glue, Glue Catalog, and Step Functions experience.
  • Experience with data modeling, data migration, and ETL.
  • Excellent written and verbal communication.

Responsibilities

  • Design, build, test, and maintain scalable data management systems and ELT/ETL pipelines.
  • Create data queries and transform raw data into usable datasets.
  • Develop data infrastructure using AWS Glue, Glue Catalog, and Step Functions.
  • Collaborate with analytics and business teams to meet data needs.
  • Support data migration, validation, and data quality enhancements.
  • Optimize schemas and data pipelines for reliability.

Skills

SQL
AWS Glue
Glue Catalog
Step Functions
ELT/ETL pipelines
Data modeling
Data migration
Data quality
Backend software engineering
Security clearance
Communication skills

Education

Bachelor's degree in Computer Science
Information Technology or Data Engineering degree

Tools

AWS Console

Job description

SMX is hiring a Data Engineer to architect, build, test, and maintain our data infrastructure for mission partners. You will design scalable ELT/ETL pipelines, implement AWS Glue, Glue Catalog, and Step Functions, and work with analytics and business teams to deliver production-ready datasets.

The role requires a Bachelor's in CS or related field, 3 years of data engineering or backend SWE experience, and an active Top Secret clearance.

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