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Big Data Platform Engineer Jobs (NOW HIRING)

Select Minds LLC

Big Data Engineer

Lansing, MI · On-site

$110K - $125K/yr

Ensure data quality, integrity, and governance across Big Data platforms. * Participate in ... Mentor junior engineers and contribute to technical best practices. Required Qualifications * 8+ ...

Veterans Sourcing Group, LLC

Big Data Engineer

Alpharetta, GA · On-site

$53 - $70/hr

Veterans Sourcing Group, LLC is seeking an experienced Big Data Engineer to join the CPS Data ... This role focuses on designing, enhancing, and governing data platform automation frameworks, with ...

Syndicus, Inc.

Platform Engineer (7029)

Columbia, MD · Hybrid

$129K - $229K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience with programming skills with Go. * Have a solid understanding of Linux systems, hosts ... Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g.

Wise Skulls

Data Platform Engineer

Austin, TX · On-site

$113K - $136K/yr

Data Platform Engineer Location: Austin, TX or Sunnyvale, CA (Hybrid) Duration: 6 months (possibility of extension) Implementation Partner: Infosys End Client: To be disclosed JD: Job Summary We are ...

IAMUS Consulting

(7029) Platform Engineer

Columbia, MD · On-site +1

$131K - $171K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Description We are looking for a Cloud Platform Engineer with experience in Cloud technology (AWS ... Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g.

IAMUS Consulting

(7031) Platform Engineer

Columbia, MD · On-site +1

$150K - $195K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Description We are looking for a Cloud Platform Engineer with experience in Cloud technology (AWS ... Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g.

IAMUS Consulting

(8019) Platform Engineer

San Antonio, TX · On-site +1

$150K - $195K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Description We are looking for a Cloud Platform Engineer with experience in Cloud technology (AWS ... Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g.

Hasbro

Data Platform Engineer

Boston, MA · On-site

$124K - $149K/yr

  • Medical

  • Life

We're looking for a Data Platform Engineer to join the team responsible for the infrastructure, frameworks, and tools that power data and analytics across the company. In this role, you'll help build ...

Hasbro Inc.

Data Platform Engineer

Boston, MA · On-site

$124K - $149K/yr

  • Medical

  • Life

We're looking for a Data Platform Engineer to join the team responsible for the infrastructure, frameworks, and tools that power data and analytics across the company. In this role, you'll help build ...

Sonoma Consulting Inc.

Senior Big Data Engineer

Duluth, GA

$51.25 - $68/hr

Leveraging Aster/Hadoop and SQL data platforms, data mining, visualization and machine learning ... Big Data Engineer / Big Data Consultant / Big data Developer PREFERRED QUALIFICATIONS: Teradata ...

Jobsbridge

Big Data Solutions Engineer

Bridgewater, NJ

$57 - $75.50/hr

... on Big Data Platform Proficiency with Java, Python, Scala, HBase, Hive, MapReduce, ETL, Kafka ... Programming language -- Java (must), Python, Scala, Ruby * Batch processing -- Hadoop MapReduce ...

CYNET SYSTEMS

GCP DATA PLATFORM ENGINEER

Charlotte, NC · On-site

$65 - $70/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... engineering. * Hands-on experience with Google Cloud Platform (GCP ... Experience with on-premises Cloudera big data clusters. * Experience with Apache Iceberg table ...

Living Spaces - Corporate

Data Platform Engineer

La Mirada, CA · On-site

$115K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Position Summary The Data Platform Engineer is responsible for designing, supporting, and modernizing the company's enterprise data platforms across on-premises and cloud environments. This role ...

Living Spaces

Data Platform Engineer

La Mirada, CA · On-site

$115K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Position Summary The Data Platform Engineer is responsible for designing, supporting, and modernizing the company's enterprise data platforms across on-premises and cloud environments. This role ...

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Big Data Platform Engineer information

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$15

$62

$88

How much do big data platform engineer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for big data platform engineer in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.

What is a big data platform engineer?

Big Data Platform Engineers are technology professionals who design, build, and maintain large-scale data processing systems. They work with tools and frameworks such as Hadoop, Spark, and cloud-based solutions to manage, process, and analyze vast amounts of structured and unstructured data. Their role involves ensuring data pipelines are reliable, scalable, and secure, supporting data scientists and analysts in extracting valuable insights from big data. They also optimize system performances and troubleshoot issues related to data storage and processing. Overall, they play a crucial role in enabling data-driven decision-making within organizations.

What are the key skills and qualifications needed to thrive as a big data platform engineer?

To thrive as a Big Data Platform Engineer, you need strong expertise in distributed computing, data architecture, and programming languages like Java, Python, or Scala, typically supported by a degree in computer science or a related field. Familiarity with big data tools and frameworks such as Hadoop, Spark, Kafka, and cloud platforms (e.g., AWS, Azure) as well as certifications like Cloudera or AWS Big Data are often required. Problem-solving, adaptability, and effective communication are essential soft skills for collaborating with cross-functional teams and addressing complex data challenges. These skills and qualities are crucial for designing, optimizing, and maintaining robust data solutions that drive business insights and innovation.

What are some typical challenges a big data platform engineer faces when integrating new data sources into an existing platform?

Big Data Platform Engineers often encounter challenges like ensuring data compatibility, maintaining data quality, and minimizing disruption to ongoing operations when integrating new sources. They need to address issues such as data format inconsistencies, varying data latency, and scaling ingestion pipelines to handle increased loads. Collaboration with data architects, data scientists, and business stakeholders is essential to align integration efforts with organizational needs and compliance requirements. Effective troubleshooting and automation can help streamline the integration process and maintain platform stability.

What is the difference between Big Data Platform Engineer vs Data Engineer?

AspectBig Data Platform EngineerData Engineer
Primary FocusDesigning, building, and maintaining big data infrastructure and platformsDeveloping data pipelines, ETL processes, and managing data storage
Skills & CertificationsBig data technologies (Hadoop, Spark), cloud platforms, scriptingSQL, Python, data modeling, ETL tools
Work EnvironmentData infrastructure teams, cloud environments, large-scale data systemsData teams, analytics, and application development environments
Industry UsageTech companies, finance, healthcare with large data needsAny industry requiring data integration and analytics

While both roles involve working with data, Big Data Platform Engineers focus on building and maintaining the infrastructure for big data processing, whereas Data Engineers develop data pipelines and manage data flow for analysis. Both roles often collaborate but serve different core functions within data ecosystems.

More about Big Data Platform Engineer jobs

What job categories do people searching Big Data Platform Engineer jobs look for?

The top searched job categories for Big Data Platform Engineer jobs are:

Big Data Platform Engineer jobs near you
Infographic showing various Big Data Platform Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

Big Data Engineer

Select Minds LLC

Lansing, MI • On-site

$110K - $125K/yr

Full-time

Posted 11 days ago

Job description

Benefits:
  • ONSITE
  • Competitive salary
  • Opportunity for advancement

Big Data Engineer
Location: Chicago, IL (Day 1 Onsite) Hybrid
Job Type: Contract / Full Time
Experience: 8+ yrs
Duration: Long Term
We are seeking an experienced Big Data Engineer  to design, develop, and optimize enterprise-scale big data solutions. The ideal candidate will have strong hands-on expertise in the Hadoop ecosystem, Spark, Scala, Hive, Apache NiFi, and Kafka, along with experience building scalable data pipelines and supporting modern CI/CD practices. Candidates should have worked directly with clients, participated in requirement gathering sessions, and delivered end-to-end Big Data implementations. 
Key Responsibilities
* Design, develop, and optimize large-scale data processing pipelines using Spark, Scala, and Hive.
* Build and maintain data ingestion workflows using Apache NiFi.
* Develop and support real-time data streaming solutions using Apache Kafka.
* Monitor application logs and system health using Kibana, Elasticsearch, and Logstash.
* Implement and support CI/CD pipelines using Git, Jenkins, and Nexus.
* Ensure data quality, integrity, and governance across Big Data platforms.
* Participate in architecture discussions and recommend scalable design solutions.
* Troubleshoot and resolve complex production issues across the Big Data stack.
* Collaborate with cross-functional teams in an Agile environment.
* Mentor junior engineers and contribute to technical best practices.
Required Qualifications
* 8+ years of experience in Big Data technologies.
* Strong hands-on experience with Spark, Scala, Hive (HQL), and the Hadoop ecosystem.
* Experience implementing Apache NiFi and Apache Kafka.
* Proficiency in Shell Scripting or Python.
* Experience with PostgreSQL.
* Familiarity with scheduling tools such as Oozie and Control-M.
* Working knowledge of Git, Jenkins, Nexus, Maven, Ansible, and SonarQube.
* Strong understanding of CI/CD practices.
* Experience in client-facing roles, including requirement gathering workshops.
* Minimum of two end-to-end Big Data implementation projects.
* Ability to work independently and contribute effectively within Agile teams.  

Flexible work from home options available.