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Commission Big Data Tester Jobs (NOW HIRING)

Conflux Systems

Big Data Engineer

Charlotte, NC · On-site

$55/hr

Participate in code reviews, testing, deployment, and production support. Required Skills Strong experience with Big Data technologies and the Hadoop ecosystem (HDFS, Hive, Spark, MapReduce, YARN ...

Software Guidance & Assistance

Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

Develop automated testing frameworks and implement continuous testing for data quality assurance ... Big Data technologies * Experience with Big data technologies such as Hadoop, Spark, Hive & Trino

GlobalLogic Inc.

Big Data Engineer

Bernardsville, NJ · On-site

$110K - $115K/yr

Perform integration testing and provide support to QA teams on large-scale projects. * Contribute ... Stay current with emerging techniques and trends in big data and AI/ML. Job Requirement: * 5+ years ...

EROS Technologies Inc

Big Data Developer

Mooresville, NC · On-site

$50.25 - $65/hr

They are seeking a Big Data Developer to code, test, and analyze application software while ... Responsibilities : • Coding, testing and analyzing application software • Improve existing code ...

ACI Infotech

Big Data Engineer

$57 - $75.50/hr

... testing activities. • At least 4-7+ years of industry experience in Big Data Domain Education: • MS/BS minimum in the areas of Computer Science, Computer engineering, or other related fields or ...

Eliassen Group

Big Data Engineer

Tysons, VA · Remote

$65 - $70/hr

Develop automated testing frameworks and implement continuous testing for data quality assurance ... Big Data technologies: Hadoop, Spark, Hive, and Trino, with understanding of data skew, PB-scale ...

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How much do commission big data tester jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for commission big data tester in the United States is $47.54, according to ZipRecruiter salary data. Most workers in this role earn between $37.50 and $56.01 per hour, depending on experience, location, and employer.

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Commission Big Data Tester jobs near you
Infographic showing various Commission Big Data Tester job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $98,889 per year, or $47.5 per hour.

Big Data Engineer

Charlotte, NC • On-site

Conflux Systems
IT Services • 11 - 50 employees
Learn more about Conflux Systemsexternal

$55/hr

Full-time

Re-posted 4 days ago

Job description

Job Title: Big Data Engineer
Location: Charlotte, NC (Hybrid)
Client: Synechron / Wells Fargo
EXP: 9+ Years
Rate: $55/hr. on C2C
Skills: Big Data, Hadoop, Python & Angular
Job Summary
We are seeking an experienced Big Data Engineer to join a high-performing team supporting enterprise-scale data initiatives for Wells Fargo through Synechron. The ideal candidate will have strong expertise in Big Data technologies, Hadoop ecosystem, Python development, and Angular for building and supporting data-driven applications. This role involves designing, developing, and optimizing scalable data pipelines and collaborating with cross-functional teams to deliver high-quality data solutions.
Key Responsibilities
Design, develop, and maintain scalable Big Data solutions using the Hadoop ecosystem.
Build and optimize ETL/data ingestion pipelines for structured and unstructured data.
Develop data processing applications using Python.
Create and enhance front-end components using Angular for data visualization and application interfaces.
Work with large datasets to ensure data quality, integrity, and performance.
Collaborate with business analysts, architects, and development teams to gather requirements and implement solutions.
Monitor, troubleshoot, and optimize data processing workflows.
Follow enterprise development standards, security guidelines, and best practices.
Participate in code reviews, testing, deployment, and production support.
Required Skills
Strong experience with Big Data technologies and the Hadoop ecosystem (HDFS, Hive, Spark, MapReduce, YARN, etc.).
Proficiency in Python for data engineering and application development.
Experience with Angular for front-end development.
Experience building ETL pipelines and handling large-scale datasets.
Strong knowledge of SQL and relational databases.
Experience with distributed data processing frameworks such as Apache Spark.
Familiarity with version control tools like Git.
Strong analytical, problem-solving, and communication skills.

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