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Accenture Federal ServicesPosted 21 days ago

Data Engineer in St. Louis, MO

Full-time
On-site
5+ years
$115K – $221K/yr
Posted 21 days ago

Responsibilities Design and develop scalable, efficient data architectures to support the migration process Create data models and schemas that align with both source and target systems Develop and maintain robust data pipelines for data generation, collection, and processing Implement real-time and batch processing pipelines as required by the migration strategy Design and implement ETL processes to migrate data bet

Posted
21 days ago
Source
job-boards.greenhouse.io
Sector
Information Technology & AI

Opens the employer's application page in a new tab

Responsibilities

  • Design and develop scalable, efficient data architectures to support the migration process
  • Create data models and schemas that align with both source and target systems
  • Develop and maintain robust data pipelines for data generation, collection, and processing
  • Implement real-time and batch processing pipelines as required by the migration strategy
  • Design and implement ETL processes to migrate data between source and target systems
  • Develop scripts and workflows for data extraction, transformation, and loading
  • Develop and maintain data cleansing routines to address data inconsistencies
  • Create monitoring systems to track data quality metrics throughout the migration
  • Collaborate with the migration team to plan and execute data migration strategies
  • Provide expertise on data-related aspects of the migration process
  • Troubleshoot and resolve data-related issues during migration
  • Optimize data processing and storage for improved performance in cloud environments
  • Monitor and tune data pipelines for efficiency
  • Implement data security measures to protect sensitive information during migration
  • Ensure compliance with data protection regulations and organizational policies
  • Develop and maintain data access controls and audit trails
  • Create and maintain comprehensive documentation for data architectures and processes
  • Work closely with data analysts, cloud engineers, and application developers
  • Integrate data solutions with other components of the migrated applications
  • Participate in Agile ceremonies (Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives)

Qualifications

  • Bachelors degree and a minimum of 5 years experience
  • Active Secret Security clearance required
  • Experience with cloud-based ETL services (e.g. AWS Glue, Google Cloud Dataflow, Azure Data Factory)
  • Experience with Python, SQL, Spark, and PySpark
  • Familiarity with data orchestration and data quality processes

Preferred

  • Experience with data platforms like Databricks, Palantir, and Snowflake

Required skills

AWS GlueAzure Data FactoryData OrchestrationData Quality ProcessesDatabricksGoogle Cloud DataflowPalantirPySparkPythonSQLSecret Security ClearanceSnowflakeSpark

Full job description

Responsibilities

  • Design and develop scalable, efficient data architectures to support the migration process
  • Create data models and schemas that align with both source and target systems
  • Develop and maintain robust data pipelines for data generation, collection, and processing
  • Implement real-time and batch processing pipelines as required by the migration strategy
  • Design and implement ETL processes to migrate data between source and target systems
  • Develop scripts and workflows for data extraction, transformation, and loading
  • Develop and maintain data cleansing routines to address data inconsistencies
  • Create monitoring systems to track data quality metrics throughout the migration
  • Collaborate with the migration team to plan and execute data migration strategies
  • Provide expertise on data-related aspects of the migration process
  • Troubleshoot and resolve data-related issues during migration
  • Optimize data processing and storage for improved performance in cloud environments
  • Monitor and tune data pipelines for efficiency
  • Implement data security measures to protect sensitive information during migration
  • Ensure compliance with data protection regulations and organizational policies
  • Develop and maintain data access controls and audit trails
  • Create and maintain comprehensive documentation for data architectures and processes
  • Work closely with data analysts, cloud engineers, and application developers
  • Integrate data solutions with other components of the migrated applications
  • Participate in Agile ceremonies (Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives)

Preferred

  • Experience with data platforms like Databricks, Palantir, and Snowflake

Benefits

  • Certifications
  • Industry training
  • A collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more
  • Accenture Federal Services offers a wide variety of benefits
  • Reasonable accommodation when needed
  • Veteran employment opportunities to our service men and women
  • Glassdoor
  • 3.9
  • Accenture Federal Services is a leading US federal services company and subsidiary of Accenture.
  • Arlington, Virginia, USA
  • https://www.afs.com
  • Late Stage
  • Leadership Team
  • Ron Ash
  • CEO and Chairman of the Board
  • Lisa Sherhart
  • Chief Human Resources Officer
  • Recent News
  • Washington Technology
  • Cyber, tech and operations leadership moves across the market
  • 2026-10-11
  • Justice extracts $25M settlement from Accenture Federal over diversity goals
  • 2026-09-16
  • IndiaTimes
  • As Accenture settles with Justice Department, Attorney General says: Opportunity and promotion in workplace should be only through merit and not ...
  • 2026-09-15
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Qualifications

  • Bachelors degree and a minimum of 5 years experience
  • Active Secret Security clearance required
  • Experience with cloud-based ETL services (e.g. AWS Glue, Google Cloud Dataflow, Azure Data Factory)
  • Experience with Python, SQL, Spark, and PySpark
  • Familiarity with data orchestration and data quality processes
  • Experience with data platforms like Databricks, Palantir, and Snowflake
  • Bachelors degree and a minimum of 5 years experience.

Required skills

  • AWS Glue, Azure Data Factory, Data Orchestration, Data Quality Processes, Databricks, Google Cloud Dataflow, Palantir, PySpark, Python, SQL, Secret Security Clearance, Snowflake, Spark

Experience

  • 5+ years

Job details

Employment type

Full-time

Seniority level

5+ years

Date posted

Oct 23, 2026

Work mode

On-site

Job source

job-boards.greenhouse.io

Company

Accenture Federal Services

Information Technology & AI

See all 10 jobs from Accenture Federal Services →
  • St. Louis, MO
  • Information Technology & AI

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Data Engineer in St. Louis, MO

Accenture Federal Services · $115K – $221K/yr

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