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Big Data Software Engineer Jobs (NOW HIRING)

Summitworks

Big Data Solution Engineer

Durham, NC · On-site

$53.75 - $71.25/hr

Qualifications Minimum qualifications • Solid software engineer with excellent analytical and troubleshooting skills. • 4+ years of experience building production large scale big data ...

ZipRecruiter

Senior Software Engineer, Big Data

Seattle, WA · Remote

$140K - $200K/yr

... software engineers to build fast, scalable, and effective applications, stream and batch data ... Experience with Hadoop, Spark, Hive, and/or other big data technologies * Comprehensive computer ...

ZipRecruiter

Senior Software Engineer, Big Data

Seattle, WA · Remote

$140K - $200K/yr

... software engineers to build fast, scalable, and effective applications, stream and batch data ... Experience with Hadoop, Spark, Hive, and/or other big data technologies * Comprehensive computer ...

ByteCubed

Big Data Engineer

Arlington, VA · On-site

$64.25 - $84.75/hr

Big Data, Strategy and Business Architecture, Systems Engineering, Enterprise cloud services and ... Develop reusable loosely-coupled software components to deploy on cloud platforms. * Implement ETL ...

ByteCubed

Big Data Engineer

Arlington, VA

$64.25 - $84.75/hr

Big Data, Strategy and Business Architecture, Systems Engineering, Enterprise cloud services and ... Develop reusable loosely-coupled software components to deploy on cloud platforms. * Implement ETL ...

Circana

Sr. Big Data Engineers*| HQ: Chicago, IL

$57 - $75.50/hr

... Software Engineer/Developer or in Software Development required. Required Skills: experience ... Big Data querying tools (Hive); data-warehousing & data-modeling techniques; Core Java, Linux, SQL ...

R2 Technologies Corporation

Big Data Engineer

Alpharetta, GA · On-site

$54.50 - $72/hr

Big Data Engineer Joining Location: Remote due to Covid but eventually (Alpharetta, GA) # of ... We are looking for an experienced Software Developers and Engineers who has a passion for building ...

Software Guidance & Assistance

Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

Software Guidance & Assistance, Inc., (SGA), is searching for a Big Data Engineer for a CONTRACT assignment with one of our premier Regulatory clients in the DMV area. This position is for a mid ...

Jobsbridge

Sr. SOFTWARE ENGINEER/Big Data

San Jose, CA · On-site

$65.25 - $86.50/hr

Mentor and coach junior engineers on various design and development aspects of big data platform. Prototype ideas quickly using cutting edge technologies Qualifications and Requirements Bachelors or ...

Cymertek

Big Data Engineer

Aurora, CO · On-site

$56.75 - $75.25/hr

Big Data Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position ... Software Engineering, Electrical Engineering, Mathematics, Statistics, Computational Science ...

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Big Data Software Engineer information

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

As of Jul 15, 2026, the average hourly pay for big data software 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 Software Engineer?

A Big Data Software Engineer is a technology professional who designs, develops, and maintains systems and applications that process large and complex data sets. They work with big data technologies like Hadoop, Spark, and NoSQL databases to enable efficient data storage, processing, and analysis. These engineers collaborate with data scientists, analysts, and other stakeholders to build scalable solutions that extract valuable insights from massive amounts of data. Their work is essential in industries such as finance, healthcare, e-commerce, and more, where data-driven decision-making is critical.

What Does a Big Data Software Engineer Do?

As a big data software engineer, your primary responsibilities are to collect, store, process, and analyze large amounts of data. You then build what the software architects design. Your duties are to develop software and choose solutions to maintain, implement, and continue monitoring the data. You also need to integrate your code with the current company architecture. You may handle high scale distributed systems, build and interact with algorithms, and work in cloud computing environments.

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

To thrive as a Big Data Software Engineer, you need strong programming skills (often in Java, Scala, or Python), a solid understanding of distributed systems, and a degree in computer science or related field. Experience with big data tools like Hadoop, Spark, Kafka, as well as familiarity with cloud platforms and data pipeline frameworks, is typically required. Problem-solving, analytical thinking, and effective teamwork are essential soft skills for handling complex data challenges and collaborating across teams. These skills and qualifications are crucial for designing efficient, scalable data solutions that drive business insights and innovation.

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

AspectBig Data Software EngineerData Engineer
Primary FocusDeveloping and optimizing big data processing applicationsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsProgramming (Java, Scala), Hadoop, Spark, SQLETL tools, SQL, cloud platforms, scripting
Work EnvironmentData processing teams, software development projectsData infrastructure teams, cloud environments
Industry UsageTech, finance, healthcare, retailTech, finance, healthcare, retail

While both roles work with big data technologies, Big Data Software Engineers focus on creating scalable data processing applications, whereas Data Engineers build and maintain the data pipelines and infrastructure that support these applications. Both roles often collaborate but have distinct technical responsibilities.

What are the most common challenges Big Data Software Engineers face when working with large-scale data systems?

Big Data Software Engineers often encounter challenges such as ensuring data quality, optimizing the performance of data pipelines, and managing the complexity of distributed systems. Handling massive volumes of data requires careful attention to system scalability and fault tolerance. Additionally, integrating new technologies and collaborating with data scientists, analysts, and DevOps teams to deploy and maintain reliable data solutions are key aspects of the role. Staying updated on evolving big data frameworks and best practices is crucial for continued success.
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Big Data Software Engineer jobs near you
Infographic showing various Big Data Software Engineer 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 $131,001 per year, or $63 per hour.

Big Data Solution Engineer

Summitworks

Durham, NC • On-site

$53.75 - $71.25/hr

Full-time

Re-posted 14 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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