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Big Data Jobs (NOW HIRING)

Big Data Developer

$54.25 - $70.25/hr

Big Data Engineer Experian Remote Projected Duration: 12+ month contract Big Data Hadoop, Spark, PySpark Hands on Programming - Java, Scala, Python AWS Cloud - S3, EFS, MSK, ECS, EMR, Lambdas ...

New

Should be well versed with Big Data Landscape, Data warehousing and Business Intelligence * Should have hands-on experience in any of the big data technologies like Map reduce, Hadoop, Hortonworks ...

Big Data Engineer

Manhattan, NY · On-site

$61.50 - $81.25/hr

Big Data Engineer We are seeking a highly skilled Big Data Engineer to design, develop, and maintain scalable data processing systems capable of handling large volumes of structured, semi-structured ...

At least 4-5+ years application Big Data project implementation experience including requirements gathering, architecture, functional and technical design. Experience in Kafka preferred * At least 3 ...

Big Data Engineer

Parker, TX · On-site

$53 - $70.25/hr

Big Data Engineer Location: Costa Mesa, CA or Allen, TX Duration: Fulltime Big Data Engineer Must Have Technical/Functional Skills Big Data, PySpark, AWS (EMR, SageMaker, DunamoDB) Roles ...

New

Big Data Developer

Dallas, TX · On-site

$52.75 - $68.25/hr

Big Data Developer Location: Strongsville OH, Pittsburgh, PA, Dallas, TX Duration: Fulltime Skill: Big Data Must Have Technical/Functional Skills: * Bigdata Hadoop & ecosystem, Scala/Python, PySpark.

Big Data Engineer

Austin, TX · On-site

$55.25 - $73/hr

Big Data Engineer Visa status: U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. Tax Terms: W2, 1099 Corp-Corp or 3rd Parties: Yes SO#000452348623 Austin, TX Skill ...

New

Big Data Engineer

Costa Mesa, CA · On-site

$59 - $78.25/hr

Big Data Engineer Location: Costa Mesa, CA or Allen, TX Duration: Fulltime Big Data Engineer Must Have Technical/Functional Skills Big Data, PySpark, AWS (EMR, SageMaker, DunamoDB) Roles ...

Big Data Engineer Install, configure, and manage big data platforms like Apache Hadoop and Apache Spark Monitor cluster performance and ensure high availability of systems Manage and maintain ...

Company Description SRP is a big data company located in Princeton, NJ focused on Dynamic Pricing, run by seasoned alumni from Stanford University and Wharton. We are looking to hire a part-time ...

Should be well versed with Big Data Landscape, Data warehousing and Business Intelligence * Should have hands-on experience in any of the big data technologies like Map reduce, Hadoop, Hortonworks ...

Big Data Developer

Mclean, VA · On-site

$54.25 - $70.50/hr

Senior Big Data Developer Freddie Mac's Single-Family Division is currently seeking a Senior Big Data Developer to implement Big Data tools and methods of data processing and ingestion as a member of ...

New

Big Data Engineer

Atlanta, GA · On-site

$53.50 - $71/hr

Big Data Engineer Location: Atlanta GA - Hybrid Duration: 12 months The successful candidate must have Big Data engineering experience and must demonstrate an affinity for working with others to ...

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Big Data information

See salary details

$46K

$165K

$243.5K

How much do big data jobs pay per year?

As of Jul 2, 2026, the average yearly pay for big data 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 daily responsibilities in a Big Data role?

Professionals working in Big Data roles often spend their days collecting, cleaning, and processing large and complex datasets using various data technologies. They design data models, write complex queries, and develop algorithms to extract actionable insights for business stakeholders. Collaboration with data scientists, software engineers, and business analysts is common, as projects frequently require cross-functional teamwork. Additionally, staying up to date with emerging tools and maintaining data security are critical ongoing tasks.

What jobs pay 500,000 a year in the US?

In the Big Data field, senior roles such as Chief Data Officer, Data Science Director, or Lead Data Engineer can reach or exceed $500,000 annually, especially with extensive experience, advanced skills in analytics and cloud platforms, and leadership responsibilities. These high-paying positions often require a strong background in data architecture, machine learning, and strategic decision-making.

Is big data a good career option?

Big Data is a promising career field with high demand for professionals skilled in data analysis, data engineering, and tools like Hadoop and Spark. It offers competitive salaries and opportunities across various industries, often requiring knowledge of programming languages such as Python or Java and certifications in data management. The field is expected to grow as organizations increasingly rely on data-driven decision making.

What is a Big Data job?

A Big Data job involves managing, analyzing, and interpreting large volumes of data to help organizations make data-driven decisions. Professionals in this field work with technologies like Hadoop, Spark, and SQL, and use programming languages such as Python or Java. Roles can vary from data engineers who build data pipelines to data scientists who apply machine learning models. The goal is to extract meaningful insights from complex datasets to improve business operations and strategies.

What jobs make $1,000,000 a year?

In the field of Big Data, high-level roles such as Chief Data Officer, Data Science Director, or senior Data Engineering executives can reach or exceed $1 million annually, especially in large corporations or tech companies. These positions typically require extensive experience, advanced skills in data architecture, analytics, and leadership, and often involve stock options or performance bonuses that contribute to total compensation.

What are the key skills and qualifications needed to thrive in the Big Data position, and why are they important?

To thrive in a Big Data role, you need strong analytical abilities, proficiency in programming languages like Python or Java, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Experience with big data tools such as Hadoop, Spark, and NoSQL databases, as well as certifications like Cloudera Certified Data Engineer, are highly valuable. Problem-solving skills, attention to detail, and effective communication are essential soft skills for success. These abilities enable professionals to manage, analyze, and interpret vast datasets to drive business decision-making and innovation.

What jobs are in big data?

Jobs in big data include roles such as Data Engineer, Data Scientist, Big Data Analyst, and Data Architect. These positions typically require skills in programming languages like Python or Java, knowledge of big data tools such as Hadoop or Spark, and experience with data modeling and database management. Certifications in data management or cloud platforms can also enhance job prospects.
More about Big Data jobs
What cities are hiring for Big Data jobs? Cities with the most Big Data 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 jobs? States with the most job openings for Big Data jobs include:
What job categories do people searching Big Data jobs look for? The top searched job categories for Big Data jobs are:
Infographic showing various Big Data job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 5% Part Time, and 3% 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 Developer

$54.25 - $70.25/hr

Other

Posted 2 days ago


Job description

Big Data Engineer

Experian

Remote

Projected Duration: 12+ month contract

Big Data Hadoop, Spark, PySpark

Hands on Programming – Java, Scala, Python

AWS Cloud – S3, EFS, MSK, ECS, EMR, Lambdas

Containerized and Microservices

Distributed Computing constructs – Joins, MapReduce

RDBMS – MySQL, Aurora and No-SQL

Kafka Streaming

Data Storage Architecture

Data Formats Experience – Parquet, CSV etc.

Data Transformation constructs.