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Big Data Contract Jobs (NOW HIRING)

My3Tech Inc

Java/Big Data Engineer

$57 - $75.50/hr

Java/Big Data Engineer Experian Java/Big Data Engineer Costa Mesa, CA (Remote) 6-12+ month contract Strong API services on AWS stack using Cloud using Java/Scala/Kotlin, Kafka, Cassandra, Scylla, DDB ...

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Software Guidance & Assistance

Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

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. This position is for a mid ...

TriOptus LLC

Sr Big Data Engineer

Plano, TX · On-site

$52 - $69/hr

Contract - Must-Have Skills: Python PySpark Spark AWS ETL Docker Good to Have Skills: Lead Experience Data Modeling CI/CD - Jenkins R Airflow Kubernetes

Saicon Consultants

Big Data Architect

Des Moines, IA · On-site

$62.25 - $80/hr

Company Description Here is our client looking for a Big Data Architect in Des Moines, IA for 3+ months contract. Someone with good Azure HD Insights experience or Hortonworks on Azure experience We ...

Cygnus Professionals

Big Data Engineer

Palo Alto, CA · On-site

$65.75 - $87/hr

Big Data Engineer Headquartered in New Jersey (U.S), Cygnus Professionals Inc. is a next generation ... Potential Contract to Hire Mode of Interview: Skype After Phone !! Need Green Card OR US Citizen OR ...

Omega Solutions Inc

Senior Big Data Engineer

Austin, TX · On-site

$55.25 - $73/hr

Senior Big Data Engineer Client: Altimetrik / PayPal Location - Austin, TX 12+ months contract Responsibilities: Be responsible for practicing technical design, developing new functionality and ...

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Navtech

Big Data Engineer with Java

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Remote Duration: 12 Months Contract Qualifications: * Bachelor's Degree in a Technical Discipline or equivalent work experience * Must have experience with Big Data toolsets: Hadoop echo system ...

TriOptus LLC

Sr Big Data Engineer

Plano, TX · On-site

$53.50 - $71/hr

Contract - Must-Have Skills: Python PySpark Spark AWS ETL Docker Good to Have Skills: Lead Experience Data Modeling CI/CD - Jenkins R Airflow Kubernetes

Software Technology Inc

Mid- Big Data Engineer

$57 - $75.50/hr

The position is a long term contract-to-hire basis, with a competitive hourly compensation. Successful candidates must have strong big data engineering skills with Spark on any cloud platform ...

New

Saicon Consultants

Big Data Architect

Des Moines, IA · On-site

$62.25 - $80/hr

Here is our client looking for a Big Data Architect in Des Moines, IA for 3+ months contract. Someone with good Azure HD Insights experience or Hortonworks on Azure experience . We don't have ...

Genesis10

Big Data Engineer - Onsite

Charlotte, NC · On-site

$63.94 - $71.94/hr

Genesis10 is currently seeking a Big Data Engineer for an onsite position located in Charlotte, NC, Denver, CO, Jacksonville, FL and Chicago, IL This is a 12+ month contract opportunity. Summary:

Sonsoft Inc

Big Data Consultant

Baltimore, MD

Preferred At least 6+ years application Big Data project implementation experience including ... Note:- * This is a Contract job opportunity. * Only US Citizen , Green Card Holder , GC-EAD , H4 ...

Navtech, Inc.

Big Data Engineer with Java

Phoenix, AZ · On-site

$54.25 - $71.75/hr

Remote Duration: 12 Months Contract Qualifications: * Bachelor's Degree in a Technical Discipline or equivalent work experience * Must have experience with Big Data toolsets: Hadoop echo system ...

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All JobsBig Data Contract Jobs

Big Data Contract information

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$46K

$165K

$243.5K

How much do big data contract jobs pay per year?

As of Jul 2, 2026, the average yearly pay for big data contract in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by professionals working on Big Data contracts, and how can they be addressed?

Professionals working on Big Data contracts often encounter challenges such as handling large volumes of unstructured data, ensuring data security and compliance, and integrating diverse data sources. Meeting client expectations within tight deadlines can also be demanding, especially when project requirements evolve. To address these challenges, it's important to maintain clear communication with stakeholders, stay updated on the latest big data tools and security practices, and adopt agile methodologies for flexibility. Collaborating closely with data engineers, analysts, and IT teams can also help overcome technical hurdles and deliver successful outcomes.

What are the key skills and qualifications needed to thrive as a Big Data Contractor, and why are they important?

To thrive as a Big Data Contractor, you need strong programming skills (such as Python, Java, or Scala), expertise in data modeling, and experience with large-scale data processing, typically supported by a degree in computer science or a related field. Familiarity with tools like Hadoop, Spark, Hive, and database systems, as well as relevant certifications (e.g., Cloudera Certified Data Engineer), is highly valued. Problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with diverse teams and delivering client solutions. These capabilities ensure that contractors can efficiently manage, analyze, and extract value from massive datasets while meeting project requirements.

What are Big Data contractors?

Big Data contractors are professionals hired on a temporary basis to help organizations manage, analyze, and interpret large volumes of data. They often work on projects involving data architecture, data engineering, analytics, or the implementation of big data technologies like Hadoop, Spark, or cloud-based platforms. Their responsibilities may include setting up data pipelines, ensuring data quality, and delivering actionable insights to support business decisions. Hiring a contractor allows companies to access specialized expertise for specific projects without committing to a full-time hire.
More about Big Data Contract jobs
What cities are hiring for Big Data Contract jobs? Cities with the most Big Data Contract job openings:
What are the most commonly searched types of Big Data jobs? The most popular types of Big Data jobs are:
What states have the most Big Data Contract jobs? States with the most job openings for Big Data Contract jobs include:
What job categories do people searching Big Data Contract jobs look for? The top searched job categories for Big Data Contract jobs are:
Big Data Contract jobs near you
Infographic showing various Big Data Contract job openings in the United States as of June 2026, with employment types broken down into 4% As Needed, 46% Full Time, 39% Part Time, and 11% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Big Data/Spark Engineer

Big Data/Spark Engineer

Software Guidance & Assistance

Rockville, MD • On-site

$56.75 - $75.25/hr

Other

Posted 6 days ago

Job description

Software Guidance & Assistance, Inc., (SGA), is searching for a Big Data/Spark Engineer for a contract assignment with one of our premier Regulatory clients. Must be local to one of these office locations: Rockville MD or Tysons VA.
Hybrid work is required - non local candidates will not be accepted.
2-step interview process - onsite interview mandatory!
High-volume AWS environment, extremely large data.
Top Skills: Spark, SQL, Python, AI assisted workflows, Automation validation.
Seeking a Big Data Engineer to design, develop, and optimize large-scale data processing systems. 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. Ideally 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.
  • 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.
  • 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.
  • 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)
  • Comfort with SQL window functions, multi-table joins, aggregations.
  • Provide examples of write/optimize SQL queries.
  • Handle edge cases like NULLs, duplicates, ordering, etc.
Apache Spark (Development, Internals & Tuning)
  • Understanding of Spark's core architecture - executors, tasks, stages, DAG.
  • Spark performance tuning techniques: partitioning, caching, broadcast joins, etc.
  • Troubleshooting slow running/stuck jobs or resource issues in Spark.
  • Experience optimizing Spark jobs for large-scale datasets.
Cloud Technologies
  • Exposure to AWS services like S3, EMR, Glue, Lambda, Athena, etc.
  • Use S3 with Spark (e.g., dealing with file formats, consistency issues).
  • EKS, Serverless knowledge, etc.
Programming - Python or Scala
  • Ability to write clean, modular, and performant code.
  • Functional programming concepts (e.g., immutability, higher-order functions).
  • Real-world use cases where they wrote scalable data processing code.
  • 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.
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 .
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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