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Python Big Data Jobs (NOW HIRING)

Big Data Developer

Dallas, TX · On-site

$52.75 - $68.25/hr

Big Data Must Have Technical/Functional Skills ... Bigdata Hadoop & ecosystem, Scala/Python, PySpark. * Oracle PL/SQL, CI/CD, Excellent communication ...

Big Data Developer

Atlanta, GA · On-site

$51 - $66/hr

Big Data Developer Location: Georgia (GA) Work Authorization: Only USC / GC Experience: 8+ Years ... Proficiency in Java, Python, or Scala . * Solid understanding of ETL/ELT, data modeling, and ...

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 ... Experience with Databricks UI, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake ...

Texas - Plano - Python Tester Illinois - Chicago - Big Data testing, Hadoop, Hive, SQOOP, Pig, Spark, Unix shell scripting. Oregon - Portland - Big Data testing - Hadoop/HIVE/Spark New York - East ...

New

Big Data

Moline, IL · On-site

$48 - $62/hr

Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive ... Strong understanding and hands-on programming/scripting experience skills - UNIX shell, Python ...

Big Data

Phoenix, AZ · On-site

$52.50 - $68.25/hr

Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive ... Strong understanding and hands-on programming/scripting experience skills - UNIX shell, Python ...

Big Data

Sunnyvale, CA · On-site

$62.25 - $80.75/hr

Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive ... Strong understanding and hands-on programming/scripting experience skills - UNIX shell, Python ...

Big Data

Plano, TX · On-site

$50.75 - $65.75/hr

Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive ... Strong understanding and hands-on programming/scripting experience skills - UNIX shell, Python ...

Big Data Engineer

Rolling Meadows, IL

$56 - $74.25/hr

SPARK with Scala or Python Secondary / Optional Skills : AWS, UNIX & SQL Looking for an experienced Senior Big Data Developer who will be responsible for, * Technical leadership in driving solutions ...

... Python, Big Query, Cloud Composer, Cloud Pub/Sub • Minimum 8 years of experience in building and operationalizing large-scale enterprise data solutions and applications, with the ability to build ...

Big Data Engineer

$57 - $75.50/hr

... Python. • Experience with Cloudera/MapR/Hortonworks Apache HDFS • Experience in the field of ... in Big Data Domain Education: • MS/BS minimum in the areas of Computer Science, Computer ...

Big Data Engineer

Creve Coeur, MO · On-site

$52.25 - $69/hr

As a big data engineer you will develop innovative software using state of the art big data ... General Purpose Programming languages (Java, C, Scala, Python, Erlang, etc.) * Database Technology ...

Big Data Engineer

Malvern, PA · On-site

$54.75 - $72.25/hr

Big Data Engineer Location : Malvern, PA Hybrid Duration : Initial 12 months + options to extend ... Design and implement ETL processes using tools like AWS Glue, Spark, or Python to transform raw ...

Big data Developer

Dallas, TX · On-site

$52.75 - $68.25/hr

Big Data Developer Location: Strongsville OH / Pittsburgh PA / Dallas TX Duration: Full Time * ... Strong experience in Bigdata, Hadoop, Spark, Python. * Good experience in end-to-end implementation ...

Big Data Developer

Richardson, TX · On-site

$48.25 - $62.50/hr

Strong in SQL and Python, 5+ years' experience. * Experience with big data frameworks (i.e. Hadoop and Spark), 5+ years' experience. Experience building automated data pipelines, 5+ years of ...

Big Data Engineer

New York, NY · On-site

$61 - $80.75/hr

... data, Python, Tableau/PowerBI, SQL, Oracle/MySQL, Jira, and Confluence; * Min. 2 years of ... Big Data Engineer

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Python Big Data information

See salary details

$26.5K

$132.5K

$186K

How much do python big data jobs pay per year?

As of Jun 25, 2026, the average yearly pay for python big data in the United States is $132,452.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $155,000.00 per year, depending on experience, location, and employer.

What is a Python Big Data engineer?

A Python Big Data engineer is a technology professional who uses the Python programming language to develop, maintain, and optimize systems that process large volumes of data, often referred to as 'big data.' They work with big data technologies like Hadoop, Spark, and data storage solutions to extract insights and support business decisions. Their responsibilities include building data pipelines, ensuring data quality, and collaborating with data scientists and analysts. Python Big Data engineers are skilled in both programming and data engineering, making them essential for handling large-scale data processing tasks.

What is the difference between Python Big Data vs Data Engineer?

AspectPython Big DataData Engineer
Required SkillsPython, Big Data tools (Hadoop, Spark), data processingPython, SQL, ETL, data pipeline development
Work EnvironmentData processing teams, analytics projectsData infrastructure, pipeline management
CertificationsBig Data certifications (Cloudera, Hortonworks)Data engineering certifications (Google Cloud, AWS)

Python Big Data specialists focus on processing large datasets using Python and Big Data tools, often working on analytics projects. Data Engineers build and maintain data pipelines and infrastructure, utilizing Python alongside SQL and cloud platforms. While both roles require Python skills, their focus areas and certifications differ, with Python Big Data emphasizing data processing and Data Engineering emphasizing data infrastructure development.

What are the key skills and qualifications needed to thrive as a Python Big Data Engineer, and why are they important?

To thrive as a Python Big Data Engineer, a strong background in Python programming, data structures, and distributed systems is essential, often supported by a degree in computer science or related fields. Familiarity with big data tools such as Hadoop, Spark, Kafka, and cloud platforms, as well as relevant certifications, is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help professionals stand out in this field. These competencies are crucial for designing scalable data solutions, collaborating across teams, and extracting valuable insights from large datasets.

How do Python Big Data professionals typically collaborate with data engineers and data scientists in a project setting?

Python Big Data professionals often serve as a bridge between data engineers, who focus on building and maintaining data pipelines, and data scientists, who analyze and interpret data. On a typical project, you might work closely with data engineers to ensure data is efficiently ingested, cleaned, and stored using scalable solutions like Hadoop or Spark. You'll also support data scientists by developing tools, scripts, or models that help them extract insights from large datasets. Effective communication and teamwork are key, as projects often require integrating codebases and aligning on data requirements and project goals.
More about Python Big Data jobs
Infographic showing various Python Big Data job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 40% Full Time, 55% Part Time, 1% Contract, and 1% Nights. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $132,452 per year, or $63.7 per hour.
Big Data Developer

$51.25 - $66.50/hr

Full-time

Posted 19 days ago


Job description

Position: 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 application performance
3). Troubleshoot and resolve data processing issues
4). Engage with various team for software delivery
5). Build, maintain and execute unit test cases with high code coverage
Required Skills:
1). 9+ years of professional experience
2). 2+ years of hands-on experience with big data technologies such as Spark, Scala, Python, Hbase, Hive, Cloudera is required.
3). Familiar with development tools such as Jenkins, Git/BitBucket, Jira, etc.
4). Familiar with Agile methodologies such as SCRUM, LEAN, etc
5). Prepare unit test cases and validate the results for accuracy.
6). Excellent written and verbal communication and presentation skills