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Python Big Data Jobs (NOW HIRING)

Ocelot Consulting

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 ...

Accord Technologies Inc.

Sr. Big Data Engineer

Weehawken, NJ · On-site

$60.50 - $80.25/hr

Sr. Big Data Engineer Weehawken, NJ Strong Banking Domain experience is required Only Local ... Write and deploy complex production systems in Scala, Java, or Python, ensuring high performance ...

Compunnel

Big Data Engineer

Costa Mesa, CA · On-site

$59.75 - $79/hr

Job Summary The Big Data Engineer will be responsible for designing, developing, optimizing, and ... Preferred Qualifications • Experience with Python and Kotlin development. • Experience with ...

Summitworks

Big Data Solution Engineer

Durham, NC · On-site

$53.75 - $71.25/hr

Company Description Responsibilities • Architect and develop Big Data applications for fortune ... Additional Information Preferred qualifications • Experience with Spark, SQL, Scala, Python, Java ...

Jobsbridge

Big Data Solutions Engineer

Bridgewater, NJ · On-site

$57 - $75.50/hr

Candidate Profile: BS in Computer Science or related area software development experience Minimum 2 Year Experience on Big Data Platform Proficiency with Java, Python, Scala, HBase, Hive, MapReduce ...

Collabera

Lead Datawarehouse /Big Data

Torrance, CA

Java, Linux, Apache, Perl/Python), especially the R programing. * Experience with Hadoop Security ... Oracle Big Data Appliance / Cloudera Hadoop technical stack, R programming * Informatica9.5.1, ...

TriOptus LLC

Big Data Engineer

Alpharetta, GA · On-site

$54.50 - $72/hr

Big Data Engineer (Hybrid) Location: Alpharetta, Georgia (Hybrid Role) Employment Type: Contract-to ... Create and maintain UNIX shell scripts and Python scripts for automation and data workflows.

Software Guidance & Assistance

Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

Big data operations activities for AWS services in support of the processing of market volumes of ... Work also includes automation of data monitoring using Python scripting and SQL queries. Usage of ...

Futran Tech Solutions Pvt. Ltd.

Big Data Developer

Austin, TX · On-site

$52.50 - $68.25/hr

Big Data Developer Austin, TX (Day 1 onsite) - Full-time Primary Skillset: Spark, Scala, AWS ... Python, Kafka Common data archetypes, writing and coding functions, algorithms, logic development ...

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 ...

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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
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 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 Engineer

Big Data Engineer

Ocelot Consulting

Creve Coeur, MO • On-site

$52.25 - $69/hr

Full-time

Medical, Dental, Retirement, PTO

Posted 8 days ago

Job description

Company Description

Ocelot Consulting specializes in cloud technologies, custom application development and enterprise security. Ocelot Consultants are certified AWS Solution Architects and have experience migrating enterprise applications and data for Fortune 500 companies.

Job Description

As a big data engineer you will develop innovative software using state of the art big data streaming architectures.

Qualifications

Requirements

  • Extensive experience setting up and doing development for a distributed platform, such as HBASE, Hadoop/Spark, AWS EMR, Cassandra
  • Extensive ETL experience
  • General Purpose Programming languages (Java, C, Scala, Python, Erlang, etc.)
  • Database Technology - (Postgres, Mongo, Cassandra, Elastic Search, Oracle, etc.) as well as SQL and related query languages

Nice to have

  • Data lakes
  • Experience with cloud big data technology (AWS Data Pipeline, GCP DataFlow, Azure HDInsight)
  • Experience with Business Intelligence Platforms Experience with modern JavaScript
  • API Development (proper microservice separation, HTTP verb usage)
  • DevOps - understanding of OS and Container Management
    • Distributed microservice architectures providing elasticity, redundancy, failover, and intelligent routing.
    • Docker/Kubernetes/Cloud Foundry experience
Additional Information

Standard Benefits Program (medical, dental, retirement, PTO, etc.)

All your information will be kept confidential according to EEO guidelines.

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