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Data Scientist
Reads like a Data Engineer role: pipelines and data infrastructure.
- Pay
$140,000–155,000/yearAnnual period assumed — pay source
EMPLOYMENT CLASSIFICATION- Employment Classification Eligibility - W2 COMPENSATION- Salary range: $140,000 - $155,000 Benefits: Benefits package includes options for health, dental, and vision insurance coverage; 401k contribution options
Read the full posting- Work setting
Remote — work setting source
Listed location: Remote
Read the full posting- Employment
Full-time — employment source
Data Scientist We need an experienced Data Scientist at the Office of the Under Secretary of Defense for Personnel and Readiness (OUSD(P&R)) Comptroller. This office manages the budget and financial accountability behind the programs that recruit, pay, train, and care for the people of the Department of War (DoW), and reliable data is how leadership demonstrates where every dollar goes. In this role, you will design, build, and maintain scalable data pipelines and analytical workflows that transform complex DoW datasets into reliable, actionable insights. You will use Databricks, Python, Spark, SQL, and distributed-compute tools to automate ingestion, enforce data quality, validate integrity, and integrate structured and semi-structured data across mission systems. Working with cross-functional teams, you will translate requirements into governed data products, troubleshoot ETL issues, improve processing efficiency, and deliver dashboards, models, and decision-support artifacts that strengthen reconciliation, reporting, and enterprise analytics. This is a full-time, fully remote opportunity. We can offer a competitive salary and a comprehensive benefits package. RESPONSIBILITIES- Design, build, and maintain scalable end-to-end data pipelines and analytical workflows supporting DoW mission data
Read the full posting
Before you apply
- Work authorization
- Citizens only
Active Secret security clearance
What you’ll work on
Full postingDesign and maintain end-to-end data pipelines for DoW mission data
Build ETL and transformation processes with Databricks, Python, Spark and SQL
Automate ingestion, reconciliation and delivery across source systems
Implement data-quality controls, validation and integrity checks
Troubleshoot ETL failures and implement root-cause fixes
From the employer’s posting
Design, build, and maintain scalable end-to-end data pipelines and analytical workflows supporting DoW mission data
Develop ETL and data-transformation processes using Databricks, Python, Spark, SQL, and distributed-compute tools
Automate data ingestion, transformation, reconciliation, and downstream delivery across multiple source systems
Implement data-quality controls, validation frameworks, schema enforcement, anomaly detection, and integrity checks
Troubleshoot ETL issues and pipeline failures, identify root causes, and implement effective remediations
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 26, 202639 days ago
- Recorded sightings
- 32
- 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
West 4th Strategy is hiring
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is steady
- Takes jobs down quickly
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
- Delta Lake
- S3
- Spark
- Tableau
Where the posting names them
Data Scientist We need an experienced Data Scientist at the Office of the Under Secretary of Defense for Personnel and Readiness (OUSD(P&R)) Comptroller. This office manages the budget and financial accountability behind the programs that recruit, pay, train, and care for the people of the Department of War (DoW), and reliable data is how leadership demonstrates where every dollar goes. In this role, you will design, build, and maintain scalable data pipelines and analytical workflows that transform complex DoW datasets into reliable, actionable insights. You will use Databricks, Python, Spark, SQL, and distributed-compute tools to automate ingestion, enforce data quality, validate integrity, and integrate structured and semi-structured data across mission systems. Working with cross-functional teams, you will translate requirements into governed data products, troubleshoot ETL issues, improve processing efficiency, and deliver dashboards, models, and decision-support artifacts that strengthen reconciliation, reporting, and enterprise analytics. This is a full-time, fully remote opportunity. We can offer a competitive salary and a comprehensive benefits package. RESPONSIBILITIES- Design, build, and maintain scalable end-to-end data pipelines and analytical workflows supporting DoW mission data
RESPONSIBILITIES- Design, build, and maintain scalable end-to-end data pipelines and analytical workflows supporting DoW mission data - Develop ETL and data-transformation processes using Databricks, Python, Spark, SQL, and distributed-compute tools - Automate data ingestion, transformation, reconciliation, and downstream delivery across multiple source systems
REQUIRED QUALIFICATIONS- Three (3) to ten (10) years of directly related experience as a Data Analyst or Data Scientist - Hands-on expertise with Databricks, Python, Spark, SQL, and distributed-compute tools for ETL and data transformation - Demonstrated ability to build, maintain, and optimize end-to-end data pipelines with strong data-quality controls
- Experience integrating structured and semi-structured datasets from multiple systems and applying business rules for governed downstream delivery - Ability to automate ingestion, transformation, and reconciliation workflows using Python scripts, SQL logic, and Databricks orchestration - Strong analytical and troubleshooting skills, including the ability to diagnose pipeline failures and propose remediations
- Experience developing data-quality monitoring systems, hash-based integrity checks, or automated validation logic aligned to compliance requirements - Background in cloud data environments such as AWS S3, distributed storage, or external tables EDUCATION- B.A./B.S. or M.A./M.S. in a relevant field
PREFERRED QUALIFICATIONS- Experience working with DoW datasets, financial data structures, and audit-support environments - Familiarity with Delta Lake, Unity Catalog, Auto Loader, Streaming, or similar enterprise data-governance and cataloging tools - Proficiency building dashboards or analytical data products using Qlik, Tableau, or similar visualization platforms
- Familiarity with Delta Lake, Unity Catalog, Auto Loader, Streaming, or similar enterprise data-governance and cataloging tools - Proficiency building dashboards or analytical data products using Qlik, Tableau, or similar visualization platforms - Experience developing data-quality monitoring systems, hash-based integrity checks, or automated validation logic aligned to compliance requirements
Your next step
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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
Data Scientist
We need an experienced Data Scientist at the Office of the Under Secretary of Defense for Personnel and Readiness (OUSD(P&R)) Comptroller. This office manages the budget and financial accountability behind the programs that recruit, pay, train, and care for the people of the Department of War (DoW), and reliable data is how leadership demonstrates where every dollar goes. In this role, you will design, build, and maintain scalable data pipelines and analytical workflows that transform complex DoW datasets into reliable, actionable insights. You will use Databricks, Python, Spark, SQL, and distributed-compute tools to automate ingestion, enforce data quality, validate integrity, and integrate structured and semi-structured data across mission systems. Working with cross-functional teams, you will translate requirements into governed data products, troubleshoot ETL issues, improve processing efficiency, and deliver dashboards, models, and decision-support artifacts that strengthen reconciliation, reporting, and enterprise analytics. This is a full-time, fully remote opportunity. We can offer a competitive salary and a comprehensive benefits package.
RESPONSIBILITIES
REQUIRED QUALIFICATIONS
PREFERRED QUALIFICATIONS
EDUCATION
LOCATION
CLEARANCE
CLIENT
WORK HOURS
EMPLOYMENT CLASSIFICATION
COMPENSATION
We need an experienced Data Scientist at the Office of the Under Secretary of Defense for Personnel and Readiness (OUSD(P&R)) Comptroller. This office manages the budget and financial accountability behind the programs that recruit, pay, train, and care for the people of the Department of War (DoW), and reliable data is how leadership demonstrates where every dollar goes. In this role, you will design, build, and maintain scalable data pipelines and analytical workflows that transform complex DoW datasets into reliable, actionable insights. You will use Databricks, Python, Spark, SQL, and distributed-compute tools to automate ingestion, enforce data quality, validate integrity, and integrate structured and semi-structured data across mission systems. Working with cross-functional teams, you will translate requirements into governed data products, troubleshoot ETL issues, improve processing efficiency, and deliver dashboards, models, and decision-support artifacts that strengthen reconciliation, reporting, and enterprise analytics. This is a full-time, fully remote opportunity. We can offer a competitive salary and a comprehensive benefits package.
RESPONSIBILITIES
- Design, build, and maintain scalable end-to-end data pipelines and analytical workflows supporting DoW mission data
- Develop ETL and data-transformation processes using Databricks, Python, Spark, SQL, and distributed-compute tools
- Automate data ingestion, transformation, reconciliation, and downstream delivery across multiple source systems
- Implement data-quality controls, validation frameworks, schema enforcement, anomaly detection, and integrity checks
- Integrate structured and semi-structured datasets while applying business rules to ensure accurate, governed data products
- Troubleshoot ETL issues and pipeline failures, identify root causes, and implement effective remediations
- Collaborate with cross-functional teams and mission stakeholders to translate requirements into scalable analytical solutions
- Improve data-processing efficiency and reliability across enterprise analytics workflows
- Develop dashboards, models, and decision-support artifacts that support reconciliation, reporting, and mission-critical analysis
REQUIRED QUALIFICATIONS
- Three (3) to ten (10) years of directly related experience as a Data Analyst or Data Scientist
- Hands-on expertise with Databricks, Python, Spark, SQL, and distributed-compute tools for ETL and data transformation
- Demonstrated ability to build, maintain, and optimize end-to-end data pipelines with strong data-quality controls
- Experience implementing validation frameworks, schema enforcement, anomaly detection, and other data-quality techniques
- Experience integrating structured and semi-structured datasets from multiple systems and applying business rules for governed downstream delivery
- Ability to automate ingestion, transformation, and reconciliation workflows using Python scripts, SQL logic, and Databricks orchestration
- Strong analytical and troubleshooting skills, including the ability to diagnose pipeline failures and propose remediations
PREFERRED QUALIFICATIONS
- Experience working with DoW datasets, financial data structures, and audit-support environments
- Familiarity with Delta Lake, Unity Catalog, Auto Loader, Streaming, or similar enterprise data-governance and cataloging tools
- Proficiency building dashboards or analytical data products using Qlik, Tableau, or similar visualization platforms
- Experience developing data-quality monitoring systems, hash-based integrity checks, or automated validation logic aligned to compliance requirements
- Background in cloud data environments such as AWS S3, distributed storage, or external tables
EDUCATION
- B.A./B.S. or M.A./M.S. in a relevant field
LOCATION
- Remote - Full telework
CLEARANCE
- Active Secret security clearance
- U.S. citizenship is required
CLIENT
- Office of the Under Secretary of Defense for Personnel and Readiness (OUSD(P&R)) Comptroller - Booz Allen Hamilton subcontract
WORK HOURS
- Full-time position
EMPLOYMENT CLASSIFICATION
- Employment Classification Eligibility - W2
COMPENSATION
- Salary range: $140,000 - $155,000
- Benefits: Benefits package includes options for health, dental, and vision insurance coverage; 401k contribution options
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
EMPLOYMENT CLASSIFICATION- Employment Classification Eligibility - W2 COMPENSATION- Salary range: $140,000 - $155,000 Benefits: Benefits package includes options for health, dental, and vision insurance coverage; 401k contribution options
- Location & working pattern
Remote
EDUCATION- B.A./B.S. or M.A./M.S. in a relevant field LOCATION- Remote - Full telework CLEARANCE- Active Secret security clearance
More relevant text appears in the full description.
- Work authorization
LOCATION- Remote - Full telework CLEARANCE- Active Secret security clearance - U.S. citizenship is required CLIENT- Office of the Under Secretary of Defense for Personnel and Readiness (OUSD(P&R)) Comptroller - Booz Allen Hamilton subcontract