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Big Data Developer Jobs (NOW HIRING)

Forhyre

Big Data Engineer

Rolling Meadows, IL

$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 ...

Jobsbridge

Sr. Big Data Developer

Minneapolis, MN · On-site

$55.25 - $71.75/hr

Skill Big Data Development Location Minneapolis, MN Total Experience 5 yrs. Max Salary Not Mentioned Employment Type Direct Jobs (Full Time) Domain Any Description GC/CITIZEN can apply Qualifications:

Intone Networks Inc.

Big Data Engineer

Mclean, VA · On-site

$57.25 - $75.75/hr

Big data developer will work on ingesting, storing, validating and disseminating after transforming data in a consumable format for business intelligence teams and data analysts to get deeper ...

Tekdoors

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.

Redolent, Inc.

Big data engineer - Python

Charlotte, NC · On-site

$54.50 - $72/hr

Join a passionate, tight-knit, and supportive team as a Big Data Developer/Engineer at a Global Financial Institution. This role focuses on delivering the best experience for customers while ...

NAVA Software Solutions

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 ...

The Consortium, Inc.

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

Global Sumi Technologies Inc

Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

Our Client is looking for a Big Data Engineer for a long-term contract opportunity based out in ... Hands-on experience with AI development tools (GitHub Copilot, Q Developer, ChatGPT, Claude, etc ...

Futran Tech Solutions Pvt. Ltd.

Big Data Engineer

$50 - $52/hr

Big Data Engineer Location : Remote, prefer Costa Mesa Here is JD for Big Data engineer (12+ yrs ... DevOps experience (GIT, GitHub, Bit Bucket, GitLab, IntelliJ IDEA, PyCharm) Excellent to have ...

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BIG DATA Developer information

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How much do big data developer jobs pay per hour?

As of Jul 14, 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.

Is big data a good career?

Big Data Developers are in high demand due to the growth of data-driven decision making across industries. The role typically requires skills in programming, data management, and tools like Hadoop or Spark, and offers competitive salaries and opportunities for advancement. It is considered a promising career path for those interested in technology and data analysis.

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 is a Big Data Developer?

A Big Data Developer is a technology professional who designs, builds, and maintains systems and applications for processing and analyzing large volumes of data. They work with big data tools and frameworks like Hadoop, Spark, and NoSQL databases to manage data pipelines and ensure efficient data storage and retrieval. Their role often involves collaborating with data scientists and analysts to turn massive, complex data sets into actionable insights for organizations.

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 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.

Can I make 200K as a data engineer?

Big Data Developers and data engineers can earn $200,000 or more annually, especially with extensive experience, advanced skills in tools like Spark and Hadoop, and certifications. Salaries vary by location, industry, and company size, with senior roles and specialized expertise commanding higher pay.

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.

Will AI replace big data?

Big Data Developers work with large datasets, data processing tools, and analytics platforms. AI can automate some data analysis tasks, but it complements rather than replaces the need for skilled professionals to design, manage, and interpret complex data systems.

What do big data developers do?

Big Data Developers design, build, and maintain large-scale data processing systems using tools like Hadoop, Spark, and Kafka. They write code to extract, transform, and load data, ensuring data quality and performance for analytics and business insights.
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BIG DATA Developer jobs near you
Infographic showing various Big Data Developer 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 $122,706 per year, or $59 per hour.

Big Data Engineer

Forhyre

Rolling Meadows, IL

$56 - $74.25/hr

Full-time

Re-posted 17 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