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AWS Data Engineer

Pay
Pay amount needs review — pay source
Salary Description $220,000K - $260,000K
Read the full posting
Work setting
Not stated
Employment
Not stated

Before you apply

Work authorization
Citizens onlyActive TS/SCI Clearance

What you’ll work on

Full posting
  • Design, develop, and maintain ETL/ELT pipelines for structured and semi-structured data

  • Build and optimize data solutions on AWS services such as Glue, Redshift, and EMR

  • Develop data processing jobs in Python, PySpark, and SQL

  • Model data for lakes and warehouses, including schema design and partitioning

  • Implement data quality checks, monitoring, and alerting for production pipelines

From the employer’s posting
Design, develop, and maintain ETL/ELT pipelines that ingest, transform, and load structured and semi-structured data from multiple sources.
Build and optimize data solutions using AWS services such as Glue, S3, Lambda, Redshift, EMR, Athena, and Step Functions.
Develop data processing jobs in Python, PySpark, and SQL, with a focus on performance, reliability, and maintainability.
Model data for data lakes and data warehouses, including schema design, partitioning, and cataloging.
Implement data quality checks, monitoring, logging, and alerting for production pipelines.

What you’ll bring

All qualifications

Core experience

  • Strong proficiency in Python and SQL; experience with PySpark/Spark.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
  • Experience building and supporting production ETL pipelines with large datasets.
  • 5+ years of experience in data engineering or ETL development.
  • Solid understanding of data warehousing concepts, dimensional modeling, and data lake architecture.
  • 3+ years of hands-on experience with AWS data services (Glue, S3, Lambda, Redshift, Athena, EMR).8+ years of professional experience

Preferred experience

  • Experience with Terraform or CloudFormation.
  • Experience with orchestration tools such as Airflow (MWAA) or Step Functions.
  • Familiarity with Databricks, Snowflake, or Informatica.
  • Experience with streaming tools (Kinesis, Kafka).
Qualification wording
Strong proficiency in Python and SQL; experience with PySpark/Spark.
Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
Experience building and supporting production ETL pipelines with large datasets.
5+ years of experience in data engineering or ETL development.
Solid understanding of data warehousing concepts, dimensional modeling, and data lake architecture.
3+ years of hands-on experience with AWS data services (Glue, S3, Lambda, Redshift, Athena, EMR).8+ years of professional experience
Experience with Terraform or CloudFormation.
Experience with orchestration tools such as Airflow (MWAA) or Step Functions.
Familiarity with Databricks, Snowflake, or Informatica.
Experience with streaming tools (Kinesis, Kafka).
Education & alternatives
Requirements - Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience). - 5+ years of experience in data engineering or ETL development.

Posting record

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Status in our records
Live
First seen by us
Oct 16, 202619 days ago
Recorded sightings
19
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 19

Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

Virtual Service Operations is hiring

6 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Databricks
  • Kafka
  • Redshift
  • S3
  • Snowflake
  • Spark
  • Terraform
  • Airflow
  • PySpark
Where the posting names them
Opportunity: Virtual Service Operations is searching for an AWS Data Engineer to join our team. You’ll work with Python, PySpark, SQL, and AWS services like Glue, Redshift, and EMR to deliver secure, reliable, and well-modeled data solutions. Candidates should bring 5+ years of data engineering experience (3+ with AWS). Key Responsibilities:
- Build and optimize data solutions using AWS services such as Glue, S3, Lambda, Redshift, EMR, Athena, and Step Functions. - Develop data processing jobs in Python, PySpark, and SQL, with a focus on performance, reliability, and maintainability. - Model data for data lakes and data warehouses, including schema design, partitioning, and cataloging.
Required Qualifications: - Strong proficiency in Python and SQL; experience with PySpark/Spark. - Experience building and supporting production ETL pipelines with large datasets.
Description Are you looking to take the next step in your career as an AWS Data Engineer? Let's chat and see if we are a good match! Opportunity:
- Design, develop, and maintain ETL/ELT pipelines that ingest, transform, and load structured and semi-structured data from multiple sources. - Build and optimize data solutions using AWS services such as Glue, S3, Lambda, Redshift, EMR, Athena, and Step Functions. - Develop data processing jobs in Python, PySpark, and SQL, with a focus on performance, reliability, and maintainability.
Preferred Qualifications: - AWS certifications (Data Engineer – Associate, Solutions Architect, or similar). - Experience with Terraform or CloudFormation.
- 5+ years of experience in data engineering or ETL development. - 3+ years of hands-on experience with AWS data services (Glue, S3, Lambda, Redshift, Athena, EMR).8+ years of professional experience - This is an onsite role in the DC Metro Area
What we offer you: As part of the VSO company, you will be part of a virtue-centered team who value their work and teammates. This is a no-jerk zone. We provide ongoing learning and development opportunities to foster continuous growth. We offer competitive salaries, health benefits, and flexible work arrangements. More About VSO: VSO is a hybrid cloud and managed services consulting firm. Much of VSO’s success can be attributed to our deep partnerships with IT services industry leaders such as AWS, IBM, Microsoft and others. VSO leverages numerous other partner relationships so as to provide our customers with optimal support. Additionally, we take pride in taking care of our employees. We offer a wide variety of benefits for eligible employees related to health, retirement, professional development, and more! For more information, please visit our website at https://vso-inc.com/careers Salary Description
- Experience with orchestration tools such as Airflow (MWAA) or Step Functions. - Familiarity with Databricks, Snowflake, or Informatica. - Experience with streaming tools (Kinesis, Kafka).
- Familiarity with Databricks, Snowflake, or Informatica. - Experience with streaming tools (Kinesis, Kafka). - Prior federal government experience, ideally with financial regulatory data (e.g., SEC, FINRA, Treasury, Federal Reserve).
- AWS certifications (Data Engineer – Associate, Solutions Architect, or similar). - Experience with Terraform or CloudFormation. - Experience with orchestration tools such as Airflow (MWAA) or Step Functions.
- Experience with Terraform or CloudFormation. - Experience with orchestration tools such as Airflow (MWAA) or Step Functions. - Familiarity with Databricks, Snowflake, or Informatica.

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Description

Are you looking to take the next step in your career as an AWS Data Engineer? Let's chat and see if we are a good match!


Opportunity:

Virtual Service Operations is searching for an  AWS Data Engineer to join our team. You’ll work with Python, PySpark, SQL, and AWS services like Glue, Redshift, and EMR to deliver secure, reliable, and well-modeled data solutions. Candidates should bring 5+ years of data engineering experience (3+ with AWS).


Key Responsibilities:

  • Design, develop, and maintain ETL/ELT pipelines that ingest, transform, and load structured and semi-structured data from multiple sources.
  • Build and optimize data solutions using AWS services such as Glue, S3, Lambda, Redshift, EMR, Athena, and Step Functions.
  • Develop data processing jobs in Python, PySpark, and SQL, with a focus on performance, reliability, and maintainability.
  • Model data for data lakes and data warehouses, including schema design, partitioning, and cataloging.
  • Implement data quality checks, monitoring, logging, and alerting for production pipelines.
  • Apply security and compliance best practices (IAM, encryption, least privilege) appropriate for a federal environment.
    Support CI/CD and infrastructure-as-code practices for data workloads.
  • Collaborate with stakeholders to gather requirements, troubleshoot issues, and document solutions. 

Required Qualifications:

  • Strong proficiency in Python and SQL; experience with PySpark/Spark.
  • Experience building and supporting production ETL pipelines with large datasets.
  • Solid understanding of data warehousing concepts, dimensional modeling, and data lake architecture.
  • Experience with version control (Git) and Agile delivery.
  • Strong communication skills and ability to work with technical and non-technical stakeholders. 

Preferred Qualifications:

  • AWS certifications (Data Engineer – Associate, Solutions Architect, or similar).
  • Experience with Terraform or CloudFormation.
  • Experience with orchestration tools such as Airflow (MWAA) or Step Functions.
  • Familiarity with Databricks, Snowflake, or Informatica.
  • Experience with streaming tools (Kinesis, Kafka).
  • Prior federal government experience, ideally with financial regulatory data (e.g., SEC, FINRA, Treasury, Federal Reserve).
  • Experience working in FedRAMP or other compliance-driven environments. 

Requirements

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
  • 5+ years of experience in data engineering or ETL development.
  • 3+ years of hands-on experience with AWS data services (Glue, S3, Lambda, Redshift, Athena, EMR).8+ years of professional experience
  • This is an onsite role in the DC Metro Area
  • Active TS/SCI Clearance
  • Please note that this specific position requires U.S. citizenship status

What is Important to Us:

  • You are an excellent communicator in writing and speaking.
  • You have the ability to work independently but also value teamwork.
  • Your problem-solving skills are excellent.
  • You are looking for a job where performance appraisals occur regularly, and you look forward to advancing your career.
  • You seek a community of virtue-centered co-workers and clients.

What we offer you: As part of the VSO company, you will be part of a virtue-centered team who value their work and teammates. This is a no-jerk zone. We provide ongoing learning and development opportunities to foster continuous growth. We offer competitive salaries, health benefits, and flexible work arrangements.


More About VSO: VSO is a hybrid cloud and managed services consulting firm. Much of VSO’s success can be attributed to our deep partnerships with IT services industry leaders such as AWS, IBM, Microsoft and others. VSO leverages numerous other partner relationships so as to provide our customers with optimal support. Additionally, we take pride in taking care of our employees. We offer a wide variety of benefits for eligible employees related to health, retirement, professional development, and more! For more information, please visit our website at https://vso-inc.com/careers

Salary Description

$220,000K - $260,000K
Source details

View original posting ↗

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Pay
Salary Description $220,000K - $260,000K
Location & working pattern

D.C. Metro area

What we offer you: As part of the VSO company, you will be part of a virtue-centered team who value their work and teammates. This is a no-jerk zone. We provide ongoing learning and development opportunities to foster continuous growth. We offer competitive salaries, health benefits, and flexible work arrangements. More About VSO: VSO is a hybrid cloud and managed services consulting firm. Much of VSO’s success can be attributed to our deep partnerships with IT services industry leaders such as AWS, IBM, Microsoft and others. VSO leverages numerous other partner relationships so as to provide our customers with optimal support. Additionally, we take pride in taking care of our employees. We offer a wide variety of benefits for eligible employees related to health, retirement, professional development, and more! For more information, please visit our website at https://vso-inc.com/careers Salary Description
Work authorization
- Active TS/SCI Clearance - Please note that this specific position requires U.S. citizenship status What is Important to Us:

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