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Technology Big Data Engineer Jobs (NOW HIRING)

Big Data Engineer

Dallas, TX · On-site

$51.50 - $68/hr

Title: Big Data Engineer Location: Dallas, TX (Hybrid) JD: Summary We are looking for an ... Stay current with emerging technologies, particularly AI/ML capabilities , and identify ...

Big Data Engineer

Creve Coeur, MO · On-site

$52.25 - $69/hr

Company Description Ocelot Consulting specializes in cloud technologies, custom application ... As a big data engineer you will develop innovative software using state of the art big data ...

Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

Stay current with industry trends and emerging Big Data technologies to continuously improve the ... Extensive knowledge of industry leading software engineering approaches including Test Automation ...

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Big Data Engineer Location : Phoenix , AZ / Raleigh , NC / Tampa , FL 6 to 12 months AWS experience ... Java or Scala Must be strong in AWS technologies ( AWS Certified ) Additional Information Regards ...

Big Data Engineer

Aurora, CO · On-site

$56.75 - $75.25/hr

S. Citizenship) KEY SUMMARY We are looking for a skilled and motivated Big Data Engineer to join ... Knowledge of emerging big data technologies YOUR FOREVER CAREER STARTS HERE Are you looking for ...

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 ...

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Company Description Big Data Engineer Location : Phoenix , AZ / Raleigh , NC / Tampa , FL 6 to 12 ... Java or Scala Must be strong in AWS technologies ( AWS Certified ) Qualifications Additional ...

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 ... This is deployed on the Microsoft Azure platform using core Cloudera technologies such as Cloudera ...

BIG DATA ENGINEER

Berkeley Heights, NJ · On-site

$58.25 - $77/hr

Big Data Engineer (Java,Spark, Hadoop, Ozone CH) Location: Berkeley Heights, NJ Role Overview: We are seeking a highly skilled Big Data Engineer with strong experience in Apache Spark, Hadoop ...

Senior Big Data Engineer

Duluth, GA · On-site

$51.25 - $68/hr

Company Description Sonoma Consulting is one of the fastest growing national IT Consulting and ... Big Data Engineer / Big Data Consultant / Big data Developer PREFERRED QUALIFICATIONS: Teradata ...

Big Data Engineer

Rolling Meadows, IL

$56 - $74.25/hr

Looking for an experienced Senior Big Data Developer Experience: 8 - 10 years Job Location: Rolling ... Interact with business/IT stakeholders, other involved teams to understand requirements, identify ...

Big Data Engineer

San Antonio, TX · On-site

$50.25 - $66.50/hr

Cymertek Corporation is seeking a skilled and motivated Big Data Engineer to join their team. In ... big data technologies Company : With headquarters in Maryland, Cymertek [/'sī-mer-tek ...

Big Data Engineer

Alpharetta, GA · On-site

$54.50 - $72/hr

Big Data Engineer Joining Location: Remote due to Covid but eventually (Alpharetta, GA) # of ... You will design and plan technology solutions, alongside providing leadership and support to ...

Sr. Big Data Engineer

Charlotte, NC · On-site

$54.50 - $72/hr

Big Data Tech: Hadoop, Spark, Hive, Impala * Cloud Platforms: AWS (EMR, S3, Glue) or GCP (Dataproc, BigQuery) * Programming: Scala/Python/Java * Data Modeling: SQL, NoSQL (HBase, Cassandra) * CI/CD:

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 ... Ability to pick right technology for the execution of project Profile * Hands on experience working ...

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 ...

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 ... Ability to pick right technology for the execution of project Profile * Hands on experience working ...

Big Data Engineer

Chicago, IL

$57.50 - $76/hr

Our client, a premier investment bank, is looking for a Big Data Engineer to join their growing ... Ability to pick right technology for the execution of project Profile * Hands on experience working ...

Showing results 21-40

Technology Big Data Engineer information

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

As of Sep 14, 2026, the average hourly pay for technology 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 Technology Big Data Engineer jobs?

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

Big Data Engineer

Dallas, TX • On-site

Wise Skulls
Recruiting and Staffing Services • 51 - 200 employees

$51.50 - $68/hr

Full-time

Re-posted 15 days ago


Job description

Title: Big Data Engineer
Location: Dallas, TX (Hybrid)
JD:
Summary
We are looking for an experienced Big Data Engineer with 7-10 years of hands-on experience to design, build, and maintain scalable data pipelines and processing systems in an on-premises Big Data environment. Beyond strong individual contribution, the ideal candidate will own architecture and design decisions, set technical direction, and mentor and support other developers on the team. The role works closely with cross-functional teams to deliver reliable, high-quality data solutions that support business and analytics needs.
Roles & Responsibilities
  • Lead the design, development, and maintenance of robust, scalable data pipelines for ingestion, transformation, and processing of large datasets in an on-premises environment.
  • Own architectural and design decisions for data solutions, evaluating trade-offs and defining technical standards for the team.
  • Mentor, guide, and support other data engineers through code reviews, design reviews, technical coaching, and hands-on problem-solving.
  • Build and optimize data workflows using Python, Spark, and the Hadoop ecosystem.
  • Work extensively with Hadoop ecosystem components (Hive, HDFS, Impala) to manage and query large-scale data.
  • Manage and optimize batch scheduling and job orchestration using enterprise schedulers such as CA7 or Control-M.
  • Ensure data quality, integrity, and performance across data platforms.
  • Collaborate with data analysts, data scientists, and business stakeholders to translate data requirements into sound technical designs.
  • Troubleshoot and resolve complex issues in data pipelines and production environments, acting as an escalation point for the team.
  • Champion best practices for coding standards, version control, testing, and documentation.
  • Stay current with emerging technologies, particularly AI/ML capabilities, and identify opportunities to apply them to data engineering workflows.

Technical Skills
Must Have
  • 7-10 years of overall experience in data engineering, with a proven track record in technical leadership (design ownership, mentoring, guiding development teams).
  • Python - strong hands-on development experience building production-grade data solutions.
  • Big Data / Hadoop ecosystem (Hadoop, Hive, Impala, HDFS) - deep, hands-on experience in on-premises environments.
  • Apache Spark - solid experience developing and tuning large-scale distributed data processing jobs.
  • Job scheduling / orchestration - hands-on experience with CA7 or Control-M (or comparable enterprise schedulers).
  • Strong understanding of data structures, ETL processes, and SQL.
  • Extensive experience with large-scale data processing and distributed systems.
  • Demonstrated ability to make sound architecture/design decisions and to mentor and support other developers.
  • Exposure to AI/ML concepts or tools, with a strong willingness to learn and grow in this space.
  • Banking/Financial domain highly preferred