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Python Big Data Jobs (NOW HIRING)

Python/Big Data Admin

Pittsburgh, PA · On-site

$51.50 - $66.75/hr

ClifyX is seeking a Python/Big Data Admin to work in Pittsburgh, PA. The role requires a good understanding of Hadoop and programming skills in Java or Python, with a focus on custom development and ...

GCP Data Engineer with Python

Dearborn, MI · On-site

$105K - $126K/yr

Role: GCP Data Engineer with Python Location: Dearborn, MI (4 days a week onsite) Job Type ... Exposure to Big Data ecosystems and distributed data processing. Nice to have Technical Skills:

WI · On-site

$111K - $133K/yr

... big data op een cloudplatform mogelijk maken . Het data engineering team dat jij versterkt ... Python ; * design patterns / ontwerpen volgens best practices; * werken met AI tools als Claude ...

Big data engineer - Python

Charlotte, NC · On-site

$54.50 - $72/hr

We are looking for a Big Data Engineer for an onsite position located in Charlotte, NC, Denver, CO ... Scala, Python, PHP, or Shell Scripting * Proficiency with the Linux operating system * Experience ...

... Python. Qualifications : Required : • Accumulo handson • Hbase handson • BigData development experience • Developer with handson capacity to develop various facets of the Hadoop and big data ...

Big Data Engineer

Charlotte, NC · On-site

$54.50 - $72/hr

The role involves working with big data technologies and optimizing big data scalability across various data stores while developing primarily in Python. Qualifications : Required : • Big Data ...

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Python Big Data information

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$26.5K

$132.5K

$186K

How much do python big data jobs pay per year?

As of Sep 15, 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.

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.

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.

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.

More about Python Big Data jobs

What other helpful pages are available for Python Big Data?

Other pages related to Python Big Data:

Infographic showing various Python Big Data job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $132,452 per year, or $63.7 per hour.

Python/Big Data Admin

Pittsburgh, PA • On-site

ClifyX
Recruiting and Staffing Services • 51 - 200 employees

$51.50 - $66.75/hr

Full-time

Re-posted 4 days ago


Job description

Job Summary:
ClifyX is seeking a Python/Big Data Admin to work in Pittsburgh, PA. The role requires a good understanding of Hadoop and programming skills in Java or Python, with a focus on custom development and strong analytical abilities.
Responsibilities:
• Good understanding of Hadoop as a platform, with knowledge on some of the tools (Hive, Impala, Oozie etc.), candidate doesn't have to be an expert
• Background of programming on Java or python – this is critical as there will be a lot of custom development work involved
• Strong analytical skills, able to provide out of the box solutions and adopt open source technologies
• This is the key, talking to the client, I understand that the right attitude of the candidate will be key for this position; the candidate must be open to learning new technologies and show interest
• Client is willing to onboard someone with less experience on Hadoop and has the right attitude and train him / her
Qualifications:
Required:
• Good understanding of Hadoop as a platform, with knowledge on some of the tools (Hive, Impala, Oozie etc.)
• Background of programming on Java or python
• Strong analytical skills, able to provide out of the box solutions and adopt open source technologies
• The candidate must be open to learning new technologies and show interest
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.

ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998