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Python Big Data Jobs (NOW HIRING)

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 ...

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 ...

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 · On-site

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, ...

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 ...

Intone Networks Inc.

Big Data Engineer

Mclean, VA · On-site

$57.25 - $75.75/hr

Position: Big Data Engineer Location: Rockville, MD or Tyson, VA/Hybrid - Local Duration: 12 ... Python scripting • Foundational knowledge of application security testing • Hands-on DevOps ...

New

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.

EROS Technologies Inc

Big Data Developer

Mooresville, NC · On-site

$50.25 - $65/hr

... Python • 5+ years' experience with using Configuration management tools like CVS, SVN, GIT. • ... experience in Big Data Solutions HBase Pig, Crunch, Sqoop, Falcon, Oozie Company : EROS ...

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 ...

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 ...

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 ...

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 ...

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 ...

1 point system

Big Data Engineer

New York, NY · Remote

$57 - $75.50/hr

Python, SQL, GCP(BQ), Spark, Airflow * GCP Shop - using Big Query * Does NOT want a machine learning engineer, wants a big data engineer Required Skills: * 5-10 years of experience * Python, Airflow ...

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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.

Big Data Solution Engineer

Summitworks

Durham, NC • On-site

$53.75 - $71.25/hr

Full-time

Re-posted 15 days ago

Job description

Company Description
Job Description
Responsibilities
• Architect and develop Big Data applications for fortune 100 companies around the globe.
• Design and build data processing pipelines for structured and unstructured data using tools and frameworks in the Hadoop ecosystem.
• Implement and configure tools for Hadoop based data lake implementations and Proof of concepts.
• Need to travel to client side when required.
Qualifications
Minimum qualifications
• Solid software engineer with excellent analytical and troubleshooting skills.
• 4+ years of experience building production large scale big data applications.
• Proficiency in a programming language, ideally Scala, Python, or Java.
• Experience with big data technologies like Spark, Hive, or Impala.
• Excellent communication skills with clients and internal engineering teams.
• Eager to learn new technologies.
Additional Information
Preferred qualifications
• Experience with Spark, SQL, Scala, Python, Java, Shell scripting.
• Understanding of Data Integrations and ETL projects.
will be kept confidential according to EEO guidelines.

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