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Python Big Data Jobs (NOW HIRING)

Cintas

IT Data Engineering Lead

Mason, OH · On-site

SQL, Python, Big Query, Cloud Composer, Cloud Pub/Sub * Building and operationalizing large-scale ... Reporting and data analytics, such as building and operationalizing large scale enterprise data ...

Guru Schools

Big Data Engineer

Irving, TX · On-site

$53.50 - $70.75/hr

Big Data Engineer Location : Irving TX (hybrid role) (Only local candidates) Duration : 12 Months ... Java or Python * Experience in technical leading and mentoring the teams * Experience with ...

TestingXperts

Big Data Architect

Hillsboro, OR

$69.50 - $89.25/hr

Hillsboro, OR Duration: 6+ Months Skills Python, Spark, Map Reduce, Hive, Pig, HBase, Sqoop Hands on experience in Python Spark. At least 2 years Hands on experience in the Big Data ecosystem HDFS ...

Jobsbridge

Big Data Engineer

Lorton, VA

$56.25 - $74.50/hr

... Python An understanding of databases and large-scale data processing frameworks Experience building large-scale server-side systems with distributed processing algorithms. Strong problem solving ...

krg technology inc

Big Data Lead

Bethesda, MD

... Big Data : HDFS, MapReduce, Hive, Hbase, Pig, Mahout, Avro, Oozie, Flume, Sqoop Processing ... Java, Scala, Linux, Apache, Perl/Python/PHP Search Servers : Elastic Search, Lucene, Solr ...

Sonoma Consulting Inc.

Senior Big Data Engineer

Duluth, GA

$51.25 - $68/hr

... R, Perl, or Python Ability to handle multiple projects and multiple deliverables. Strong ... Big Data / Bigdata Title: Big Data Engineer / Big Data Consultant / Big data Developer PREFERRED ...

LTIMindtree

Sr. Big DATA Developer

Rutherford, NJ · On-site

$54 - $70/hr

Primary Skill Big Data * Secondary Skill SQL Autosys Bigdata Hadoop Tableau Data Analysis Prod ... Python Good to Have Skills : Apache Spark, Python for DATA, SparkSQL Benefits/perks listed below ...

Cintas

IT Data Engineering Lead

Mason, OH · Hybrid

SQL, Python, Big Query, Cloud Composer, Cloud Pub/Sub * Building and operationalizing large-scale ... Reporting and data analytics, such as building and operationalizing large scale enterprise data ...

Sonsoft Inc

Sr. Big Data Engineer

Jersey City, NJ

$58.25 - $77/hr

Our Big Data capability team needs hands-on developers who can produce beautiful & functional code ... Expert-level proficiency in at-least one of Java, C++ or Python (preferred). Scala knowledge a ...

Ventures Unlimited Inc

Big Data Architect

Louisville, KY

$61.25 - $78.75/hr

Big Data Architect Location : Louisville, KY Duration: Full Time : 10-15 yrs. total experience in ... Hands on experience in utilizing the emerging technologies like Spark, Machine Learning, Python ...

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How much do python big data jobs pay per year?

As of May 31, 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 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.

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.

More about Python Big Data jobs
What states have the most Python Big Data jobs? States with the most job openings for Python Big Data jobs include:
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 May 2026, with employment types broken down into 3% As Needed, 67% Full Time, 25% Part Time, 2% Temporary, and 3% Contract. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $132,452 per year, or $63.7 per hour.

Cloudera * Hadoop * Big Data

Gamen Group

San Jose, CA

Full-time

Posted 10 days ago

Job description

Are you a technology enthusiast that enjoys researching and selecting new technologies? Are you committed to delivering efficient and elegant technology-based solutions? Are you fascinated by BIG DATA, and the tools that enable previously thought useless data, to now be valuable?


If you have passion AND the following skills, please contact us!


We are looking to speak to Big Data Architects or developers, or in fact, anyone who has legitimately been through 1 full life cycle using any Cloudera product to drive Big Data Strategies in an organization.

Requirements (various combinations are acceptable):


  • Hadoop (and Hadoop stack tech, Hive, MapReduce, HBase, Pig… ), EC2, Cassandra, etc.
    Amazon’s EMR, Cloudera… Linux, C, C++, Java, Perl, Python, RoR, Node.js and more

  • Candidate’s knowledge and skills should also span the Cloud Computing World.
    Experience with Map/Reduce technologies

    • Experience with one or more of the following languages:

      • Hadoop, Java, JavaScript, HTML, XML, Oracle, MySQL, PHP, Perl, .net, C, C++, C#, XML/XSD/XSLT, JSP/HTML, Groovy, Python for Java, Java Spring Framework. Apache, MapReduce, HBase, ZooKeeper



    • Experience with one or more of the following operating systems:

      • Redhat, CentOS, Ubunto, UNIX, LINUX, SunOS, MS Windows, VMWare ESX, Solaris 8-10, SE LINUX



    • Experience with one or more of the following Application/Database Servers:

      • Apache Hadoop, JBoss, Oracle, PostgreSQL, MySQL, SQL Server 2005



    • Has experience and in-depth knowledge in Big Data Solutions and Hadoop ecosystem including MapReduce, Hive, Pig, Impala

    • Experience with any Hadoop distribution/environment

      • AWS, Datastax, HortonWorks, MapR, Cloudera, etc



    • Experience writing quality map/reduce/serde code to parse/process data streams using Java/Python/C

    • Has experience in any of the NoSQL databases: MongoDB; CouchDB; DynamoDB; Cassandra; HBase

    • Hands-on experience with any of the ETL (Extract-Transform-Load) tools (e.g Informatica, Datastage, Talend, Kettle, Ab-Initio.)

    • Hands-on experience with Implementing Hadoop applications (e.g. administration, configuration management, monitoring, debugging, and performance tuning)

    • Previous experience with any of the RDBMS (Teradata, DB2, MySQL, SQL Server)




Required Education:


BS in Computer Science is a plus, but not a must. However, candidates should have strong knowledge of CS fundamentals, data structures, algorithms, memory management and more.
Desired Certifications:

Cloudera Certified Professional (CCP): Data Scientist
CCDH: Cloudera Certified Developer for Apache Hadoop
CCAH: Cloudera Certified Administrator for Apache Hadoop
CCSHB: Cloudera Certified Specialist in Apache HBase