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Government Big Data Engineer Jobs (NOW HIRING)

Software Guidance & Assistance

Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

We are seeking a highly skilled and experienced Big Data Engineer to design, develop, and optimize large-scale data processing systems. In this role, you will work closely with cross-functional teams ...

ACI Infotech

Big Data Engineer

$57 - $75.50/hr

Senior Software Engineer, Big Data Duration : Long Term Exp: 10+ years Job Overview : We are currently seeking an Senior Big Data Engineer in Hadoop Plaftform. Our ideal candidate exhibits a can-do ...

Avani Technology Solutions, Inc.

Big Data Engineer

Renton, WA · On-site

$63 - $83.25/hr

Big Data Engineer Location: Renton, Washington Duration: 6 Months Top Three Skills: * 5-years in SQL, SQL Server, Oracle, JDBC * 5-years in Hadoop, HDFS, MapReduce, YARN * 5-years in Sqoop, Oozie ...

Omega Solutions, Inc.

Big data Engineer

Austin, TX · On-site

$55.25 - $73/hr

Omega Solutions, Inc. is seeking a Big Data Engineer to join their team. The role involves working with big data technologies and cloud services to develop and implement data solutions.

USM

Big Data Engineer

Reston, VA · On-site

$58 - $76.75/hr

We are a project-driven firm that reliably meets the IT needs of our State and Government customers through development and business keenness. Position: Big Data Engineer_49415 Location: Reston, VA ...

Ruri Software Technologies LLC

Big Data Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Big Data Engineer City :Tampa State :FL : TOP REQUIREMENTS: Big Data (Spark, Scala, Hive, Hadoop Ecosystem) Data Streaming (Kafka) Responsibilities * Building and supporting a cloud based analytical ...

LiniumIT

Big Data Engineer

Chicago, IL · On-site

$57.50 - $76/hr

Our client, a premier investment bank, is looking for a Big Data Engineer to join their growing team in Chicago, IL. Currently our client spends a lot of time trying to answer client's questions by ...

Jobsbridge

Big Data Engineer

Los Angeles, CA

$60 - $79.50/hr

Company Description Intelliswift Software, Inc As a Big Data Engineer, you will be an integral member of our threat intelligence service, i.e. auto focus, team responsible for architecture, design ...

LiniumIT

Big Data Engineer

Chicago, IL · On-site

$57.50 - $76/hr

Our client, a premier investment bank, is looking for a Big Data Engineer to join their growing team in Chicago, IL. Currently our client spends a lot of time trying to answer client's questions by ...

USM

Big Data Engineer

Washington, DC

$63.25 - $83.50/hr

We are a project-driven firm that reliably meets the IT needs of our State and Government customers through development and business keenness. Job Title: Big Data Engineer Location: Washington, DC ...

LiniumIT

Big Data Engineer

Chicago, IL · On-site

$57.50 - $76/hr

Our client, a premier investment bank, is looking for a Big Data Engineer to join their growing team in Chicago, IL. Currently our client spends a lot of time trying to answer client's questions by ...

ByteCubed

Big Data Engineer

Arlington, VA · On-site

$64.25 - $84.75/hr

Big Data, Strategy and Business Architecture, Systems Engineering, Enterprise cloud services and solutions, PMO services, Innovation, R&D, Business Process and Improvements, and Software Engineering.

ByteCubed

Big Data Engineer

Arlington, VA · On-site

$64.25 - $84.75/hr

Big Data, Strategy and Business Architecture, Systems Engineering, Enterprise cloud services and solutions, PMO services, Innovation, R&D, Business Process and Improvements, and Software Engineering.

Eliassen Group

Big Data Engineer

Tysons, VA · Remote

$65 - $70/hr

Hybrid 3 days onsite / 2 days remote in Tysons Corner, VA Our client is seeking a highly skilled and experienced Big Data Engineer to design, develop, and optimize large-scale data processing systems.

RIT Solutions, Inc.

Big Data Engineer

Wayne, PA · On-site

$50.50 - $66.75/hr

RIT Solutions, Inc. is seeking a Big Data Engineer for their client Vanguard, located in Malvern, PA. The role involves providing advanced IT technical lead services, ensuring the viability of IT ...

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Government Big Data Engineer information

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$15

$62

$88

How much do government big data engineer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for government big data engineer in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.

What are popular job titles related to Government Big Data Engineer jobs?

For Government Big Data Engineer jobs, the most frequently searched job titles are:

Big Data Engineer

Rockville, MD • On-site

Software Guidance & Assistance
Health Care and Social Assistance • 51 - 200 employees
Learn more about Software Guidance & Assistanceexternal

$56.75 - $75.25/hr

Other

Re-posted 10 days ago

Job description

Software Guidance & Assistance, Inc., (SGA), is searching for a Big Data Engineer for a CONTRACT assignment with one of our premier Regulatory clients in the DMV area or in the NY/NJ area.
We are seeking a highly skilled and experienced Big Data Engineer to design, develop, and optimize large-scale data processing systems. In this role, you will work closely with cross-functional teams to architect data pipelines, implement data integration solutions, and ensure the performance, scalability, and reliability of big data platforms. The ideal candidate will have deep expertise in distributed systems, cloud platforms, and modern big data technologies such as Hadoop, Spark etc.
Responsibilities :
  • Design, develop, and maintain large-scale data processing pipelines using Big Data technologies (e.g., Hadoop, Spark, Python, Scala).
  • Implement data ingestion, storage, transformation, and analysis of solutions that are scalable, efficient, and reliable.
  • Stay current with industry trends and emerging Big Data technologies to continuously improve the data architecture
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Optimize and enhance existing data pipelines for performance, scalability, and reliability.
  • Develop automated testing frameworks and implement continuous testing for data quality assurance.
  • Conduct unit, integration, and system testing to ensure the robustness and accuracy of data pipelines.
  • Work with data scientists and analysts to support data-driven decision-making across the organization.
  • Ability to write and maintain automated unit, integration, and end-to-end tests
  • Monitor and troubleshoot data pipelines in production environments to identify and resolve issues.
Required Skills :
  • Bachelor's degree in Computer Science, Information Systems or related discipline with at least five (5) years of related experience, or equivalent training and/or work experience; Master's degree and past Financial Services industry experience preferred.
  • Demonstrated technical expertise in Object Oriented and database technologies/concepts which resulted in deployment of enterprise quality solutions.
  • Past experience with developing enterprise quality solutions in an iterative or Agile environment.
  • Extensive knowledge of industry leading software engineering approaches including Test Automation, Build Automation and Configuration Management frameworks.
  • Strong written and verbal technical communication skills.
  • Demonstrated ability to develop effective working relationships that improved the quality of work products.
  • Should be well organized, thorough, and able to handle competing priorities.
  • Ability to maintain focus and develop proficiency in new skills rapidly.
  • Ability to work in a fast paced environment.
  • Experience with object oriented programming languages such as Java, Scala or Python.
  • Essential Technical Skills:
    • AI Tool Proficiency: Hands-on experience with AI development tools (GitHub Copilot, Q Developer, ChatGPT, Claude, etc.)
    • Technical Background: Strong software development background with ability to contribute to technical discussions
    • Agile Methodology: Extensive experience with Scrum, Kanban, and continuous improvement practices
  • Big Data technologies
    • Experience with Big data technologies such as Hadoop, Spark, Hive & Trino
    • Evaluate understanding of common issues like:
      • Data skew and strategies to mitigate it.
      • Working with massive data volumes in PetaBytes.
      • Troublehsooting job failures due to resource limitations, bad data, scalability challenged.
    • Look for real-world debugging and mitigation stories.
  • AI Skills
    • Prompt Engineering: Proficiency in crafting effective prompts for AI coding assistants and analysis tools
    • AI Workflow Design: Experience redesigning development processes to leverage AI capabilities
    • Data Analysis: Ability to interpret AI-generated insights and translate them into actionable team improvements
    • Change Management: Experience leading teams through AI adoption and workflow transformation
  • SQL Skills (Window Functions, Joins, Complex Queries)
    • Assess comfort with SQL window functions, multi-table joins, aggregations.
    • Provide examples or ask them to write/optimize SQL queries on the spot.
    • Probe how they handle edge cases like NULLs, duplicates, ordering, etc.
  • Apache Spark (Development, Internals & Tuning)
    • Test their understanding of Spark's core architecture - executors, tasks, stages, DAG.
    • Focus on Spark performance tuning techniques: partitioning, caching, broadcast joins, etc.
    • Ask scenario-based questions on troubleshooting slow running/stuck jobs or resource issues in Spark.
    • Explore their experience optimizing Spark jobs for large-scale datasets.
  • Cloud Technologies
    • Check exposure to AWS services like S3, EMR, Glue, Lambda, Athena, etc.
    • Ask how they've used S3 with Spark (e.g., dealing with file formats, consistency issues).
    • EKS, Serverless knowledge, etc.
  • Programming - Python or Scala
    • Assess ability to write clean, modular, and performant code.
    • Look for experience in functional programming concepts (e.g., immutability, higher-order functions).
    • Ask about real-world use cases where they wrote scalable data processing code.
    • Evaluate understanding of collections, concurrency, and memory management.
  • Good to have:
    • Experience with managing production data pipelines/ETL systems
    • Experience with CI/CD
    • Experience writing test cases
    • AWS certifications
By applying for a job with SGA, you agree to allow SGA to process your application for this and future opportunities in accordance with our Privacy Policy. Also, to ensure timely processing, you agree to be contacted by our AI recruiter via email, text, or phone. Message frequency varies and data rates may apply, but you can reply STOP to any SMS message to opt-out of texts and may contact SGA at to opt-out of AI communications. The choice not to engage with AI will not adversely impact your consideration for placement. AI is not used to make any hiring determinations.
SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at . #LI-SH1
SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy.

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