Data Engineer

Synectics for Management Decisions Inc

$120K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-7 years designing and maintaining AWS-based data pipelines (Glue, Lambda, Step Functions, S3)
  • Experience in serverless, event-driven ETL/ELT workflows
  • Proficiency in Python, SQL, PySpark, and similar frameworks
  • Familiarity with data validation tools and CI/CD practices
  • Ability to produce technical documentation for government clients

Responsibilities

  • Design, build, test, and deploy ETL pipelines using AWS services
  • Develop data models, schemas, and database structures for enhanced analytics
  • Implement data validation and quality checks, including error handling
  • Produce technical documentation like ERDs and pipeline specifications
  • Collaborate with stakeholders to prioritize datasets and define deployment options
  • Support testing across development, staging, and production environments
  • Meet performance standards for pipeline reliability and data freshness

Benefits

  • Hybrid or remote work options available
  • Opportunity to work on a federal government project
  • Possibility of engaging in innovative data practices using AWS
Full Job Description
Position Summary

We're looking for a Data Engineer to design, build, and optimize ETL pipelines that ingest and transform priority datasets into an enterprise data platform, using AWS-native services within a Medallion (Bronze-Silver-Gold) architecture, for a federal government client. Job location is the Washington, DC Metro Area. Hybrid or Remote options can be considered. Position is contingent upon contract award.

Key Responsibilities
  • Design, build, test, and deploy ETL pipelines using AWS-native services or approved third-party tools hosted on AWS
  • Develop supporting data models, schemas, validation frameworks, and database structures; enhance models to support expanded analytics and reporting
  • Implement scalable data validation and quality checks, including error handling and lineage capture
  • Produce complete technical documentation including ERDs, data dictionaries, and pipeline specifications
  • Collaborate with stakeholders to prioritize datasets, define sequencing, and identify phased deployment options
  • Support thorough testing across development, staging, and production environments
  • Meet defined performance standards for pipeline reliability, data-validation pass rates, and data freshness

Required Qualifications
  • 3-7 years designing and maintaining AWS-based data pipelines (Glue, Lambda, Step Functions, S3)
  • Experience building serverless, event-driven ETL/ELT workflows and Medallion/Lakehouse designs
  • Proficiency in Python, SQL, PySpark, Pandas, or similar data processing frameworks
  • Experience with data validation tools (e.g., Great Expectations), data catalogs (AWS Glue, Lake Formation), CI/CD, and infrastructure-as-code (Terraform)
  • Experience producing technical documentation (ERDs, data dictionaries, lineage diagrams) for government or regulated stakeholders

Preferred Certifications
  • AWS Certified Data Engineer - Associate
  • AWS Certified Developer - Associate
  • AWS Certified Solutions Architect - Associate

Additional Requirements

Must be able to pass a federal background investigation prior to starting work and maintain eligibility throughout the engagement.

Salary range for this position is $120,000.00 - $130,000.00

Work Authorization: At this time, we are unable to sponsor new H-1B visas or other employment-based visa petitions for this position. Candidates must be authorized to work in the United States without current or future employer sponsorship.

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