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Big Data Developer Jobs in Columbus, OH (NOW HIRING)

JPMorganChase

AWS Big Data Lead Software Engineer

Columbus, OH · On-site

$53.75 - $71.25/hr

They are seeking an AWS Big Data Lead Software Engineer to design and build applications utilizing ... Developer or Solutions Architect strongly preferred Company : With a history tracing its roots to ...

ERP Analysts

Big Data Training and Placement

Columbus, OH

$51.25 - $66.50/hr

We are looking to fill a Software Developer position with the fresh and experienced graduates that who have basic technical skills. We even provide training sessions. Additional Information All your ...

Prophecy Technologies

Data Engineer - GCP

Dublin, OH · On-site

$110K - $132K/yr

Job Summary The Senior Data Engineer will design, build, optimize, and support enterprise-scale data pipelines within a hybrid big data architecture , primarily on Google Cloud Platform (GCP) . This ...

Chase

AWS Big Data Lead Software Engineer

Columbus, OH

$52 - $69/hr

Experience with Big Data / Distributed / cloud technology (AWS Big data services like lambda, glue ... Certified AWS Cloud Practitioner, Developer or Solutions Architect strongly preferred. Chase is a ...

APCO Holdings

Senior Data Developer

Westerville, OH · On-site

We're looking for a Senior Data Developer to design and build scalable data integration solutions using SQL Server, SSIS, and Azure Data Factory. You'll develop reliable ETL pipelines, lead data ...

APCO Holdings

Senior Data Developer

Westerville, OH

We're looking for a Senior Data Developer to design and build scalable data integration solutions using SQL Server, SSIS, and Azure Data Factory. You'll develop reliable ETL pipelines, lead data ...

Deloitte

Sr Databricks Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Evaluate, pilot, and integrate new big data and analytics technologies, ensuring the organization remains at the cutting edge. Lead, coach, and develop teams of data engineers and architects ...

Fiserv, Inc.

Sr Cybersecurity Data Engineer

Columbus, OH · On-site

$109K - $182K/yr

You will interface with security Big Data environments, aiding in their design and configuration to ... engineers, database architects, data analysts, and data scientists and will ensure optimal data ...

Monitise

Sr Cybersecurity Data Engineer

Columbus, OH

$109K - $182K/yr

You will interface with security Big Data environments, aiding in their design and configuration to ... engineers, database architects, data analysts, and data scientists and will ensure optimal data ...

Pwc

Data Strategy-Manager

Columbus, OH · On-site

$99K - $232K/yr

... with big data engineering tools - Proficiency in SQL and data visualization tools - Experience in designing advanced analytics solutions - Coaching and collaborating with team members Travel ...

Navtech, Inc.

GCP Data Architect

Columbus, OH · On-site

$61.50 - $79.25/hr

Google Professional Data Engineer, Google Professional Cloud Architect o Preferred: Google Big Data Specialty Certification • 15+ years direct experience working in Enterprise Data Warehouse / 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 17, 2026, the average hourly pay for big data developer in Columbus, OH is $57.02, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $63.89 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.

What is big data salary?

The salary for a Big Data Developer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and skill set. Professionals with expertise in tools like Hadoop, Spark, and data modeling tend to earn higher salaries, especially in competitive markets.

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 do big data developers do?

Big data developers design, build, and maintain systems for processing large volumes of data using tools like Hadoop, Spark, and SQL. They develop data pipelines, optimize data storage, and ensure data quality to support analytics and business decision-making.

Which is the hardest field in it?

For a Big Data Developer, the most challenging aspects often involve managing complex data architectures, optimizing performance for large-scale data processing, and ensuring data security and compliance. Staying updated with evolving tools like Hadoop, Spark, and cloud platforms also requires continuous learning and adaptation.
More about Big Data Developer jobs
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What job categories do people searching Big Data Developer jobs in Columbus, OH look for? The top searched job categories for Big Data Developer jobs in Columbus, OH are:
Big Data Developer jobs near you
"Java/Hadoop Developer" OR "Big Data Engineer"

"Java/Hadoop Developer" OR "Big Data Engineer"

Avani Technology Solutions, Inc.

Columbus, OH • On-site

$51.25 - $66.50/hr

Contractor

Posted 20 days ago

Job description

Please find the requirement below and let me know your availability along with updated resume.
Position : Java/Hadoop Developer
Location : Columbus, Ohio
Duration : 8 Months contract with possible extension
Top Three Skills:
1. Java Developer w/ a strong understanding of Kafka
2. HBase (Apache) - NoSql database that sits over Hadoop; on prem., MapR distribution (would also look at experience w/HortonWorks or Cloudera)
3. Kafka
4. Experience w/"Containers," ideally Docker
Job Description:
Cleint is looking for a Big Data Engineer responsible for supporting Big Data analytics. Work closely with business partners to translate complex functional and technical requirements into high performing Big Data systems. Work on multiple projects as a technical lead
to develop, test, and deliver Big Data solutions.
Additional Information:
-Conducts logical and physical database design
  • Identifies unique opportunities to collect new data.
  • Designs ETL processes and data pipelines to build large, complex data sets.
  • Strategizes new uses for data and its interaction with data design.
  • Finds new uses for existing data sources.
  • Conducts statistical modeling and experiment design.
  • Discovers "stories" told by the data and presents them to business partners
  • Tests and validates predictive models.
  • Builds data visualization prototypes.
  • Implements automated processes for efficiently producing scale models.
  • Designs, modifies and builds new data processes.
  • Implement, configure, administer, monitor Hadoop clusters
  • Implements new or enhanced software designed to access and handle data more efficiently.
  • Prepare and communicate status, issues, and opportunities to the business.
  • Provides technical assistance to junior team members
  • Create, refine and enforce data management standards, policies, and procedures.
  • Evaluates emerging Big Data technologies to develops next-generation Big Data analytics framework
  • Responsible for problem escalation to appropriate L Brands teams and third parties as appropriate.
  • Provide 24x7 on-call support

AUTHORITY:
  • Recommend expenditures as required to meet Big Data support requirements.
  • Recommend the initiation of Big Data support activities and projects .
  • Recommend Big Data standards/directions/technologies.

QUALIFICATIONS:
Required:
  • 4 year degree in Information Systems or an equivalent combination of course work

and job experience
  • 4-6 years experience with Big Data technologies and analytics

Apply