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Big Data Engineer Jobs in Dallas, TX (NOW HIRING)

Wise Skulls

Big Data Engineer

Dallas, TX · On-site

$51.50 - $68/hr

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 ...

SmartIPlace

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 ...

3B Staffing LLC

Senior Associate Big Data Engineer

Dallas, TX · On-site

$55.50 - $73.25/hr

Senior Associate Big Data Engineer Openings: 3 Project Overview: Strong Big Data Engineer with hands-on experience in Spark/Hadoop/Kafka, AWS (S3, EMR, Glue, Redshift, Lambda), ETL/ELT pipeline ...

3B Staffing LLC

Senior Associate Big Data Engineer

Dallas, TX · On-site

$55.50 - $73.25/hr

Senior Associate Big Data Engineer Openings: 3 Project Overview: Strong Big Data Engineer with hands-on experience in Spark/Hadoop/Kafka, AWS (S3, EMR, Glue, Redshift, Lambda), ETL/ELT pipeline ...

3B Staffing LLC

Sr. Associate Big Data Engineer

Dallas, TX · On-site

$55.50 - $73.25/hr

Strong Big Data Engineer with hands-on experience in Spark/Hadoop/Kafka, AWS (S3, EMR, Glue, Redshift, Lambda), ETL/ELT pipeline development, Python/Java/Scala, data modeling, feature engineering ...

3B Staffing LLC

Sr. Associate Big Data Engineer

Dallas, TX · On-site

$55.50 - $73.25/hr

Strong Big Data Engineer with hands-on experience in Spark/Hadoop/Kafka, AWS (S3, EMR, Glue, Redshift, Lambda), ETL/ELT pipeline development, Python/Java/Scala, data modeling, feature engineering ...

3B Staffing LLC

AIA COMMS -BIG DATA ENGINEER

Irving, TX · On-site

$53.50 - $70.75/hr

Job title COGNIZANT LOOKING FOR BIG DATA ENGINEER Job summary BigData Engineer Primary Skill Set * 4+ years of experience working on data engineering teams related to BigData and Teradata * Expert ...

3B Staffing LLC

AIA COMMS -BIG DATA ENGINEER

Irving, TX · On-site

$53.50 - $70.75/hr

Job title COGNIZANT LOOKING FOR BIG DATA ENGINEER Job summary BigData Engineer Primary Skill Set * 4+ years of experience working on data engineering teams related to BigData and Teradata * Expert ...

3B Staffing LLC

Big Data Developer

Irving, TX · On-site

$51 - $66/hr

Big Data Developer Location: Irving, TX Duration: Long Term Responsibilities: 1). Develop software using Hadoop technologies like Spark, Scala, Python, Hbase, Hive, Cloudera. 2). Fine tune ...

3B Staffing LLC

Big Data Developer

Irving, TX · On-site

$51 - $66/hr

Big Data Developer Location: Irving, TX Duration: Long Term Responsibilities: 1). Develop software using Hadoop technologies like Spark, Scala, Python, Hbase, Hive, Cloudera. 2). Fine tune ...

Syntricate Technologies

Big Data Developer

Richardson, TX · On-site

$48.25 - $62.50/hr

Syntricate Technologies is seeking a Big Data Developer to work onsite in Richardson, TX. The role involves building automated data pipelines, performing data analysis, and utilizing big data ...

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Big Data Engineer information

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$15

$62

$87

How much do big data engineer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for big data engineer in Dallas, TX is $62.30, according to ZipRecruiter salary data. Most workers in this role earn between $53.03 and $70.14 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a Big Data Engineer?

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.
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Big Data Engineer jobs near you
Infographic showing various Big Data Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $129,590 per year, or $62.3 per hour.

Big Data Engineer

Wise Skulls

Dallas, TX • On-site

$51.50 - $68/hr

Full-time

This job post has expired today. Applications are no longer accepted.

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

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