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Big Data Engineer Jobs (NOW HIRING)

Big Data Engineer

New York, NY · On-site

$61 - $80.75/hr

Skills: Coding expert in Java/Python, Hadoop Ecosystem(HDFS), Spark, Hive, Strong work experience - Agile environment preferred Data Engineer (Big Data - Hadoop, Green Plum, etc. , Data Owner ...

Big Data Engineer

Detroit, MI · Hybrid

$100K - $110K/yr

Immediate need for a talented Big Data Engineer . This is a Fulltime opportunity with long-term potential and is located in Detroit MI (Hybrid) . Please review the below and contact me ASAP if you ...

Big Data Engineer

Washington, DC · On-site

$63.25 - $83.50/hr

Big Data Engineer Location: Washington, DC Duration: 6 Months Face to Face Must (NO SKYPE) must be Locals to VA/MD/DC Bachelor's degree in Computer Science, Computer or Electrical Engineering ...

Big Data Engineer

Reston, VA

$58 - $76.75/hr

Big Data Engineer_49415 Location: Reston, VA Duration: Full Time Description: * 6+ years of hands on experience and strong and deep knowledge of Java application development * Experience processing ...

Big Data Engineer[Hybrid]

Dallas, TX · On-site

$55.25 - $73/hr

Skills Needed: Big Data, Spark SQL, Scala code, GCP Local to FL/TX/GA Position: Big Data Engineer Location: Temple Terrace, FL / Irving, Dallas TX / Alpharetta, GA (Hybrid - 3 Days in a Week Onsite ...

Big Data Engineer

Houston, TX · On-site

$53.25 - $70.50/hr

Position: Software Engineer (Big Data) Duration: 3-6 Months CTH Location: Houston/Plano , TX This is a W2 position that requires candidates to be onsite for 2- 3 days in a week (Hybrid role)

Sr.Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Sr. Big Data Engineer Location: Phoenix, AZ Job type: FTE Big Data exp.: 3+ years. Responsibilities (but not limited to): Implementation of various solutions arising out of the large data processing ...

Big Data Engineer

Hopewell, VA · On-site

$104K - $156K/yr

AdvanSix is seeking a Big Data Engineer to build and operate our enterprise Unified Data Layer (UDL) - spanning IT and OT - to deliver trustworthy, performant data products that power Finance ...

Big Data Engineer Principal

Orlando, FL · On-site

$52 - $68.75/hr

Big Data Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance Required: Secret Clearance Level Must Be Able to Obtain: None Potential for Remote Work: ORA_ON ...

Big Data Engineer

Hopewell, VA · On-site

$104K - $156K/yr

AdvanSix is seeking a Big Data Engineer to build and operate our enterprise Unified Data Layer (UDL) - spanning IT and OT - to deliver trustworthy, performant data products that power Finance ...

Senior Big Data Engineer

Cambridge, MA · On-site

$61 - $80.50/hr

We are looking for a Senior Big Data Engineer to join our Big Data Analytics Platform team. In this role, you will be responsible for designing, developing, deploying and supporting the data ...

Big Data Engineer

Chevy Chase, MD · On-site

$59.50 - $78.75/hr

Big Data Engineer Start Date: ASAP Location: Chevy Chase, MD Duration: 12--24+ Month Contract Mode of Interview: Phone and Skype : 3 years of hands-on experience in the Hadoop ecosystem (HDFS, YARN ...

Big Data Engineer

Lorton, VA

$56.25 - $74.50/hr

Experience working on a big data platform Demonstrated deep proficiency with Big Data processing ... NET, Java EE, Ruby or other object oriented programming language Familiarity with map data ...

Big Data Engineer

Red Bank, NJ · On-site

$130K - $146K/yr

Vision insurance Job Summary Please consider joining our technology team at Throtle as a Big Data Developer. In this role, you will be part of the team that is responsible for transforming and ...

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Big Data Engineer information

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How much do big data engineer jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for 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 the key skills and qualifications needed to thrive as a Big Data Engineer, and why are they important?

To thrive as a Big Data Engineer, you need strong programming skills (often in Python, Java, or Scala), experience with data modeling, and a solid understanding of distributed computing and database systems, typically supported by a degree in computer science or a related field. Familiarity with big data tools and platforms like Hadoop, Spark, Kafka, and relevant cloud services, as well as certifications such as Cloudera or AWS Big Data, is also important. Analytical thinking, problem-solving ability, and effective communication are key soft skills that help bridge technical solutions with business needs. These skills are crucial for designing scalable data pipelines, ensuring efficient data processing, and delivering actionable insights that drive organizational success.

What are some common challenges Big Data Engineers face when working with large-scale data pipelines?

Big Data Engineers often encounter challenges related to optimizing data pipelines for scalability and reliability, especially as data volume and velocity increase. Issues like managing data consistency, handling schema changes, and ensuring low-latency data processing are frequent hurdles. Collaborating closely with data scientists and DevOps teams is crucial, as projects often require integrating diverse data sources and maintaining high data quality standards. Staying up-to-date with evolving big data technologies and best practices is essential to address these ongoing challenges effectively.

What does a Big Data Engineer do?

A Big Data Engineer designs, builds, and manages systems that process and store large volumes of data. They develop data pipelines, integrate data from various sources, and ensure that the infrastructure is scalable, reliable, and efficient. Their work enables organizations to analyze and derive insights from massive datasets, supporting decision-making and business intelligence. Big Data Engineers often work with technologies like Hadoop, Spark, and cloud platforms.
What cities are hiring for Big Data Engineer jobs? Cities with the most Big Data Engineer job openings:
What are the most commonly searched types of Big Data Engineer jobs? The most popular types of Big Data Engineer jobs are:
Who are the top companies hiring for Big Data Engineer jobs? The top employers for Big Data Engineer jobs are:
What states have the most Big Data Engineer jobs? States with the most job openings for Big Data Engineer jobs include:
Infographic showing various Big Data Engineer job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

$53.50 - $71/hr

Full-time

Posted 2 days ago


Job description

Job Title: Big Data Engineer
Job Location: Atlanta, GA (Day 1 Onsite, Hybrid)
Job Type: Contract
Job Description:
  • 8 to 10 years of IT industry experience
  • 5 to 7 years Designing and implementing highly performance data ingestion & transformation pipelines from multiple sources using Databricks and ADF Azure Pipelines
  • Experience in Developing scalable and re-usable frameworks for ingestion and transformation of large data sets.
  • Experience building data lakes & data warehouses to support operational intelligence and business intelligence
  • Experience working with SAP and Non-SAP ERP systems ; Good exposure to Order2Cash, Procure2Pay domain area
  • Integrating the end to end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is maintained at all times.
  • 3 years' Experience with Optimization and Tuning Experience.
  • 3 to 5 years' experience with Azure Synapse, IOT hub, Event hub, Streaming analytics.
  • 3 to 5 years' experience with Github or other code repositories.
  • Good Understanding of Azure Cloud Architecture
  • Strong programming experience with back end languages such as Python and SQL
  • Strong Experience with Orchestration tools like Airflow