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Python Big Data Jobs (NOW HIRING)

Saransh Inc

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:

Redolent, Inc.

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 ...

Techno Talent Inc.

Big Data Developer

Rockville, MD · On-site

$54 - $70/hr

Onsite We are seeking an experienced Big Data Developer with strong expertise in Apache Spark, Hadoop, AWS, Python/Scala, and SQL to build and optimize large-scale data processing solutions. Required ...

TestingXperts

Big data

Bellevue, WA · On-site

$59.75 - $77.50/hr

Big data Location: Bellevue, WA Must Have Skills (Top 3 technical skills only) * 1. Accumulo ... Accumulo, Spark, and Python. Desired years of experience*: Above 10+ years Education ...

Lorven Technologies

Big Data Engineer

Costa Mesa, CA · On-site

$59.75 - $79/hr

... Python, Hadoop, HDFS, Spark, MapReduce framework Good Scala, Pyspark, Java coding experience for ... Big Data Applications (API & Batch) on AWS Cloud using java/scala/kotlin, Cassandra, , Python ...

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Python Big Data information

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$26.5K

$132.5K

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How much do python big data jobs pay per year?

As of Jul 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.

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
What job categories do people searching Python Big Data jobs look for? The top searched job categories for Python Big Data jobs are:
Python Big Data jobs near you
Infographic showing various Python Big Data job openings in the United States as of July 2026, with employment types broken down into 2% As Needed, 67% Full Time, 28% Part Time, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $132,452 per year, or $63.7 per hour.
IT - Principal Consultant | Analytics - Packages | Python - Big Data

IT - Principal Consultant | Analytics - Packages | Python - Big Data

Spruce Infotech

Phoenix, AZ • On-site

Full-time

Posted 27 days ago

Job description

Job Title Principal Consultant | Analytics - Packages | Python - Big Data
Work Location & Reporting Address Phoenix, AZ 85054
Vendor Rate XXX/Hr.
Contract duration 12
Target Start Date 19 May 2026
Job Details:
Must Have Skills
Candidate should have minimum of 5 8 years of total experience.
Excellent hands on experience in python
Strong communication skills and willing to work with diverse of people in fast paced environment.
Detailed Job Description
python developer with financial or Banking domain experience.
Should be very fluent in communication and should be able to work on his own without hand holding.
Should be completely hands on. python big data knowledge.
Minimum years of experience
>10 years
Certifications Needed :No
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Candidate should have minimum of 5 8 years of total experience.
Excellent hands on experience in python
Strong communication skills and willing to work with diverse of people in fast paced environment.
Interview Process (Is face to face required?) Yes

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