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Big Data Developer Jobs (NOW HIRING)

Big Data Engineer

Rolling Meadows, IL · On-site

$56 - $74.25/hr

Looking for an experienced Senior Big Data Developer Experience: 8 - 10 years Job Location: Rolling Meadows, IL Requirements Primary / Essential Skills : SPARK with Scala or Python Secondary ...

Big Data Developer (GCP) - Need Locals

Phoenix, AZ · On-site

$52.50 - $68.25/hr

Big Data Developer (GCP) Location: Phoenix, AZ (Only Local Candidates) Experience: 5-7 Years Work Mode: Onsite Must Have Skills: Design, build, and maintain Big Data pipelines using GCP services.

Big Data Engineer - Onsite

Chicago, IL · On-site

$63.94 - $71.94/hr

Join a passionate, tight-knit, and supportive team as a Big Data Developer/Engineer. This role focuses on delivering the best experience for customers while remaining sensitive to their unique needs.

Big Data Engineer

Costa Mesa, CA · On-site

$59 - $78.25/hr

Big Data Engineer Location: Costa Mesa, CA or Allen, TX Duration: Fulltime Big Data Engineer Must ... Knowledge of DevOps practices and Jenkins automation for CI/CD. * Familiarity with containerisation ...

Big Data Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Big Data Engineer Location: Atlanta, GA / Tampa, FL/ Dallas, TX Job Summary We are seeking an ... Experience with version control (Git) and CI/CD tools (Jenkins, Azure DevOps, GitHub Actions)

Big Data Engineer

Atlanta, GA · On-site

$53.50 - $71/hr

Big Data Engineer Location: Atlanta GA - Hybrid Duration: 12 months The successful candidate must have Big Data engineering experience and must demonstrate an affinity for working with others to ...

Senior Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

We have an exciting opportunity for a Big Data Engineer with our client in Rockville. Responsibilities of the Big Data Engineer: * Analyze system requirements and design responsive solutions

Big Data Engineer

Washington, DC · On-site

$63 - $83.50/hr

... Big Data Developer to design, develop, and optimize enterprise data platforms, data pipelines, and analytics solutions. This individual will play a key role in expanding and enhancing data ...

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Big Data Developer information

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How much do big data developer jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for big data developer in the United States is $58.99, according to ZipRecruiter salary data. Most workers in this role earn between $50.96 and $66.11 per hour, depending on experience, location, and employer.

What Is a Big Data Developer?

A big data developer, sometimes called a big data engineer, creates technical tools and systems that allow an organization to integrate data analytics seamlessly into business solutions. As a big data developer, your primary duties include designing, coding, testing, and monitoring software and applications that are used to achieve your organization’s goals. Big data developers work in a variety of fields, including health care, finance, biotech, media, and advertising, as well as within various government departments. The job typically involves working as part of a large team of developers, data science specialists, and programmers.

What are the key skills and qualifications needed to thrive as a Big Data Developer, and why are they important?

To thrive as a Big Data Developer, you need strong programming skills (such as Java, Scala, or Python), a deep understanding of data structures, and experience with distributed systems, often supported by a bachelor’s degree in computer science or a related field. Proficiency with big data tools and platforms like Hadoop, Spark, Hive, Kafka, and NoSQL databases, as well as familiarity with cloud services (AWS, Azure, or Google Cloud), is typically required. Analytical thinking, problem-solving abilities, and effective communication help developers collaborate with cross-functional teams and translate business needs into technical solutions. These skills are crucial for efficiently processing and analyzing large-scale data to drive informed decision-making and innovation.

What are some common challenges Big Data Developers face when integrating new data sources into existing pipelines?

A common challenge for Big Data Developers is ensuring compatibility and data quality when integrating new data sources into established pipelines. This often involves handling different data formats, managing schema evolution, and addressing inconsistencies or missing data. Developers must also optimize for performance, as adding new sources can impact processing speed and resource utilization. Close collaboration with data engineers, analysts, and business stakeholders is essential to ensure that the integrated data supports organizational goals and maintains high reliability.

What jobs make $3,000 a month without a degree?

Big Data Developers typically require a degree, but entry-level roles in data analysis, web development, or IT support can sometimes pay around $3,000 monthly with self-taught skills or certifications. Freelance work, technical support, or sales positions may also reach this income level without formal degrees, depending on experience and performance.

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

AspectBig Data DeveloperData Engineer
Primary FocusDesigning and developing big data applications and solutionsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsHadoop, Spark, Java, Scala, SQLETL, cloud platforms, scripting, database management
Work EnvironmentData teams, software development projectsData infrastructure, cloud environments, data warehouses
Industry UsageTech, finance, healthcare, retailTech, finance, telecom, e-commerce

While both roles work with big data technologies, Big Data Developers focus on creating applications and solutions for processing large datasets, whereas Data Engineers build and maintain the data infrastructure that supports these applications. Understanding these distinctions helps in choosing the right career path or job search focus.

What cities are hiring for Big Data Developer jobs? Cities with the most Big Data Developer job openings:
Who are the top companies hiring for Big Data Developer jobs? The top employers for Big Data Developer jobs are:
What states have the most Big Data Developer jobs? States with the most job openings for Big Data Developer jobs include:
Infographic showing various Big Data Developer job openings in the United States as of May 2026, with employment types broken down into 14% As Needed, 73% Full Time, 2% Part Time, and 11% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $122,706 per year, or $59 per hour.

Big Data Engineer

Forhyre

Rolling Meadows, IL • On-site

$56 - $74.25/hr

Full-time

Posted 6 days ago


Job description

Looking for an experienced Senior Big Data Developer


Experience: 8 - 10 years


Job Location: Rolling Meadows, IL


Requirements


Primary / Essential Skills : SPARK with Scala or Python

Secondary / Optional Skills : AWS, UNIX & SQL


Looking for an experienced Senior Big Data Developer who will be responsible for,


  • Technical leadership in driving solutions and hands on contributions
  • To build new cloud based ingestion, transformation and data movement applications
  • To migrate / modernize legacy data platforms
  • Contribute and Assist in translating the requirements to high level and low level solution designs and working program / code
  • Interact with business/IT stakeholders, other involved teams to understand requirements, identify dependencies, suggest and convincingly present solutions any or all parties involved.
  • Perform hands-on to deliver on commitments and coordinating with team members both onsite and offshore and enable the team to deliver on commitments.


To be successful in this role, the candidate must need,


  • Good working knowledge and strong on concepts on Spark framework
  • Comfortably work with any one or more of the scripting language listed in the order of preference, Scala, Python , Unix shell scripting
  • Experience / exposure in AWS Services (EC2, Lambda, S3, RDS) and related cloud technologies
  • Good understanding of DATA space - Data Integration, Building Data Warehouse solutions