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Data Engineer Government Jobs in Houston, TX (NOW HIRING)

Sr Data Engineer

Houston, TX ยท On-site

$120 - $170/hr

# Application forSr Data Engineer6380 Rogerdale Rd, Houston, TX, United States, 77072**Required ... If you choose not to self-identify your race/ethnicity at this time, the federal government ...

S. government issued security clearance is required prior to start date.โ€‹ U.S. citizenship is ... Engineers who have experience designing wireless communication and data links. This position ...

S. government issued security clearance is required prior to start date.โ€‹ U.S. citizenship is ... Engineers who have experience designing wireless communication and data links. This role includes ...

S. government issued security clearance is required prior to start date.โ€‹ U.S. citizenship is ... Engineers who have experience designing wireless communication and data links. This position ...

Partner with data engineering and IT teams to define and implement data governance frameworks ... FET participates in E-Verify and will provide the federal government with your Form I-9 information ...

Partner with data engineering and IT teams to define and implement data governance frameworks ... FET participates in E-Verify and will provide the federal government with your Form I-9 information ...

AI/ML Engineer

Houston, TX ยท On-site

$120 - $180/hr

Partner with data engineering and IT teams to define and implement data governance frameworks ... FET participates in E-Verify and will provide the federal government with your Form I-9 information ...

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Data Engineer Government information

See Houston, TX salary details

$42.5K

$123.9K

$169.5K

How much do data engineer government jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data engineer government in Houston, TX is $123,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $131,300.00 per year, depending on experience, location, and employer.

What is a data engineer government?

A Data Engineer in government is responsible for designing, building, and maintaining data pipelines and infrastructure to support public sector analytics and decision-making. They work with large datasets, ensuring data is collected, stored, and processed efficiently while complying with government regulations and security standards. Their role often involves integrating diverse data sources, optimizing data workflows, and collaborating with analysts and policymakers to derive meaningful insights for public services and policy development.

What types of projects do data engineers typically work on in government agencies?

Government Data Engineers often work on large-scale data integration, data warehouse development, and the creation of automated pipelines to consolidate and secure public sector information. Projects can include developing platforms for analyzing public records, supporting policy research with reliable datasets, or improving the accessibility of open data for citizens and internal teams. You will frequently collaborate with data analysts, IT staff, and policy experts to ensure data solutions meet both technical requirements and regulatory standards. These projects are impactful, as they help improve public services, streamline government operations, and enhance transparency.

What are the key skills and qualifications needed to thrive in the data engineer government position, and why are they important?

A successful Data Engineer Government needs strong skills in data architecture, data integration, and programming languages like SQL and Python, usually backed by a degree in computer science or a related field. Familiarity with big data technologies (such as Hadoop or Spark), ETL tools, and certifications like AWS Certified Data Analytics are highly valuable. Excellent problem-solving, attention to detail, and the ability to communicate complex information clearly enhance performance in this position. These abilities are crucial for building secure, efficient data systems that support government decision-making and comply with regulatory standards.

What are the most commonly searched types of Data Engineer Government jobs in Houston, TX?

The most popular types of Data Engineer Government jobs in Houston, TX are:

What are popular job titles related to Data Engineer Government jobs in Houston, TX?

For Data Engineer Government jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Data Engineer Government jobs in Houston, TX look for?

The top searched job categories for Data Engineer Government jobs in Houston, TX are:

What cities near Houston, TX are hiring for Data Engineer Government jobs?

Cities near Houston, TX with the most Data Engineer Government job openings:

Infographic showing various Data Engineer Government job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $123,876 per year, or $59.6 per hour.

Senior AWS Python Data Engineer

Robotics Prcocess Automation, LLC

Houston, TX โ€ข On-site

$120 - $150/hr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

  • Collaborate with Data Scientists and Platform Engineers to build scalable ML and data systems
  • Develop and maintain high-performance, distributed data pipelines and machine learning infrastructure
  • Convert machine learning models into production-ready services and APIs
  • Automate model training, validation, deployment, and inferencing pipelines
  • Design fault-tolerant, secure, and cost-effective cloud-native architectures using AWS services
  • Implement Infrastructure as Code (IaC) using CloudFormation, Terraform, or AWS CDK
  • Build CI/CD pipelines for deployment and testing automation
  • Establish software engineering best practices including modularity, reusability, test coverage, and documentation
Requirements:
  • 5+ years of professional experience developing backend systems using Python
  • Strong background in building and optimizing large-scale data pipelines and distributed systems
  • Experience deploying machine learning models and managing ML workflows in production
  • Solid understanding of software engineering principles including design patterns, version control, unit testing, and CI/CD
  • Familiarity with object-oriented and functional programming practices
  • Experience developing RESTful APIs and microservices
  • Proven experience with cloud engineering on AWS, especially services like SageMaker, Glue, Lake Formation, and Athena
  • Infrastructure as Code experience using CloudFormation, Terraform, or AWS CDK
  • Experience with graph technologies and knowledge graphs (e.g., Neo4j, Amazon Neptune) is a plus
Preferred Qualifications:
  • Prior experience working with machine learning operations (MLOps) or AI platform teams
  • Knowledge of knowledge graph construction and semantic modeling
  • Background in big data environments and real-time data processing frameworks

ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTIC PROCESS AUTOMATION LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTIC PROCESS AUTOMATION LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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