Time since we first saw it
Day 161
Up longer than most. Similar jobs usually come down between day 6 and day 55.
From 13,018 similar postings that came down. Coming down is not always a hire.
Data Engineer
- Pay
- Pay not listed
- Work setting
Remote — work setting source
This is a remote position. JOB SUMMARY:
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- Work authorization
- US citizens only
US Citizenship Required
What you’ll work on
Full postingDesign and build data pipelines and ETL processes for cloud data warehouses
Implement data validation, cleansing, and quality assurance processes
Optimize data storage and processing on AWS using Glue, Redshift, S3, and Spark
Monitor and troubleshoot pipeline performance and resolve issues
Document data workflows, data models, and architecture designs
From the employer’s posting
Design and build robust data pipelines and ETL processes to support data ingestion, transformation, and integration from various sources into cloud-based data warehouses.
Implement data validation, cleansing, and quality assurance processes
Optimize data storage and processing solutions in AWS Cloud, utilizing services such as AWS Glue, Redshift, S3, and Apache Spark.
Monitor and troubleshoot data pipeline performance, identifying and resolving issues to ensure continuous and reliable data operations.
Develop and maintain documentation for data workflows, data models, and architectural designs
What you’ll bring
All qualificationsCore experience
- Proficiency in programming languages such as Python, SQL, and Scala, with practical experience in data processing frameworks.
- Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field
- Ability and willingness to obtain security clearance.
- Hands-on experience with cloud platforms, specifically AWS, and tools like AWS Glue, Apache Spark, DataStage, and Redshift.
- Strong understanding of data governance and compliance standards, particularly in federal environments.
Qualification wording
Proficiency in programming languages such as Python, SQL, and Scala, with practical experience in data processing frameworks.
Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field
Ability and willingness to obtain security clearance.
Hands-on experience with cloud platforms, specifically AWS, and tools like AWS Glue, Apache Spark, DataStage, and Redshift.
Strong understanding of data governance and compliance standards, particularly in federal environments.
Education & alternatives
MINIMUM EDUCATION: Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field REQUIRED CERTIFICATIONS:
Posting record
Report an errorOpen 5 monthsWe first saw this posting 161 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 3, 2026161 days ago
- Recorded sightings
- 193
- Last seen by us
- Nov 11, 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
Genesis Consulting is hiring
7 open jobs
- No new data jobs since June
- Its jobs tend to stay up a long time
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
- Scala
- SQL
- AWS
- Redshift
- S3
- Spark
Where the posting names them
• Minimum of 5 years of experience in data engineering or related fields in a public sector or federal government setting, with a strong focus on ETL processes and data pipeline development. • Proficiency in programming languages such as Python, SQL, and Scala, with practical experience in data processing frameworks. • Hands-on experience with cloud platforms, specifically AWS, and tools like AWS Glue, Apache Spark, DataStage, and Redshift.
• Collaborate with data scientists and analysts to understand data requirements and deliver solutions that enhance analytical capabilities. • Optimize data storage and processing solutions in AWS Cloud, utilizing services such as AWS Glue, Redshift, S3, and Apache Spark. • Develop and maintain documentation for data workflows, data models, and architectural designs to ensure transparency and best practices in data engineering.
• Proficiency in programming languages such as Python, SQL, and Scala, with practical experience in data processing frameworks. • Hands-on experience with cloud platforms, specifically AWS, and tools like AWS Glue, Apache Spark, DataStage, and Redshift. • Strong understanding of data governance and compliance standards, particularly in federal environments.
Your next step
Complete your application on genesisconsulting.zohorecruit.com. The employer’s form will show what is required.
Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
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
This is a remote position.
JOB SUMMARY:
Genesis Consulting has an immediate opportunity for an experienced Data Engineer to join our team and support a Federal Agency project centered around Data Management and Analytics. The ideal candidate will be responsible for designing, building, and maintaining data pipelines and ETL processes to ensure the efficient movement and transformation of data across cloud-based platforms. This role requires a strong technical background in data engineering and a passion for optimizing data workflows in a collaborative environment.
DUTIES AND RESPONSIBILITIES:
• Design and build robust data pipelines and ETL processes to support data ingestion, transformation, and integration from various sources into cloud-based data warehouses.
• Implement data validation, cleansing, and quality assurance processes to ensure the integrity and reliability of data for analytics and reporting purposes.
• Collaborate with data scientists and analysts to understand data requirements and deliver solutions that enhance analytical capabilities.
• Optimize data storage and processing solutions in AWS Cloud, utilizing services such as AWS Glue, Redshift, S3, and Apache Spark.
• Develop and maintain documentation for data workflows, data models, and architectural designs to ensure transparency and best practices in data engineering.
• Monitor and troubleshoot data pipeline performance, identifying and resolving issues to ensure continuous and reliable data operations.
• Stay current with emerging technologies and tools in data engineering and cloud computing to implement innovative solutions that meet business needs.
Requirements
MINIMUM QUALIFICATIONS/EXPERIENCE:
• Minimum of 5 years of experience in data engineering or related fields in a public sector or federal government setting, with a strong focus on ETL processes and data pipeline development.
• Proficiency in programming languages such as Python, SQL, and Scala, with practical experience in data processing frameworks.
• Hands-on experience with cloud platforms, specifically AWS, and tools like AWS Glue, Apache Spark, DataStage, and Redshift.
• Strong understanding of data governance and compliance standards, particularly in federal environments.
• Excellent analytical and problem-solving skills, with the ability to work independently and manage multiple priorities.
• Effective communication skills, with the ability to collaborate with technical and non-technical stakeholders.
MINIMUM EDUCATION:
Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field
REQUIRED CERTIFICATIONS:
None Required
OTHER:
• U.S. Citizenship Required.
• Ability and willingness to obtain security clearance.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Location not supplied.
This is a remote position. JOB SUMMARY:
- Work authorization
OTHER: • U.S. Citizenship Required. • Ability and willingness to obtain security clearance.