1

Big Data Software Engineer Jobs (NOW HIRING)

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 ...

Big Data Engineer

Reston, VA · On-site

$58 - $76.75/hr

Big Data Engineer LOCATIONReston, VA 20190 CLEARANCETS/SCI Full Poly (Please note this position ... Software Engineering, Electrical Engineering, Mathematics, Statistics, Computational Science ...

Data Software Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Partner with cross-functional teams to deliver high-quality solutions using cloud and big data technologies Required Qualifications * Bachelor's degree in Computer Science, Software Engineering ...

BIG DATA ENGINEER

Berkeley Heights, NJ · On-site

$58.25 - $77/hr

Big Data Engineer (Java,Spark, Hadoop, Ozone CH) Location: Berkeley Heights, NJ Role Overview: We ... Software Engineering, or a related field. • Proficiency in business process modeling and ...

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 ...

Senior Big Data Engineer

Westminster, CO

$56.25 - $74.50/hr

Who You Are: * 5+ years of software development experience in a scalable, distributed, or multi ... At least 5 years of experience as a big data software developer. * Experience in Machine Learning ...

Data Software Engineer

Philadelphia, PA · Hybrid

$115K - $138K/yr

Partner with cross-functional teams to deliver high-quality solutions using cloud and big data technologies Required Qualifications * Bachelor's degree in Computer Science, Software Engineering ...

Big Data Engineer

Jersey City, NJ · On-site

$58.25 - $77/hr

Role: Big Data Engineer Location: Basking Ridge, NJ Duration: 24 Months Job Responsibilities ... Evaluate and implement appropriate third-party libraries and software to enhance product ...

Big Data Engineer

Tysons, VA · Remote

$65 - $70/hr

Knowledge of software engineering approaches including test automation, build automation, and ... Big Data technologies: Hadoop, Spark, Hive, and Trino, with understanding of data skew, PB-scale ...

Big data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

... and software development in Big Data (Spark(Pyspark), HIVE). • Experience with CICD pipelines, Automated test frameworks, DevOps and source code management tools (XLR, Jenkins, Git, Maven). • ...

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 ...

Big Data Engineer

San Antonio, TX · On-site

$50.75 - $67/hr

Big Data Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Mathematics, Statistics, Computational Science ...

Big Data Engineer

Chantilly, VA · On-site

$57.50 - $76.25/hr

Big Data Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Mathematics, Statistics, Computational Science ...

Showing results 41-60

BIG DATA Software Engineer information

See salary details

$15

$62

$88

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

As of Sep 13, 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?

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 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.

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 cities are hiring for Big Data Software Engineer jobs?

Cities with the most Big Data Software Engineer job openings:

What are the most commonly searched types of Big Data Software Engineer jobs?

The most popular types of Big Data Software Engineer jobs are:

Who are the top companies hiring for Big Data Software Engineer jobs?

The top employers for Big Data Software Engineer jobs are:

What are popular job titles related to Big Data Software Engineer jobs?

For Big Data Software Engineer jobs, the most frequently searched job titles are:

Infographic showing various Big Data Software Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

Big Data Engineer

Arlington, VA

$64.25 - $84.75/hr

Full-time

Re-posted 27 days ago


Job description

Company Description

ByteCubed is a result-oriented and high impact consulting firm specializing in next generation software development and technology, delivering the most efficient strategies and cost-effective solutions that meet the ever-changing challenges that our clients face. Specialties: Big Data, Strategy and Business Architecture, Systems Engineering, Enterprise cloud services and solutions, PMO services, Innovation, R&D, Business Process and Improvements, and Software Engineering.

Job Description

ByteCubed is currently seeking a Big Data Engineer to work with a dynamic team building reusable SaaS components to ingest various types of data into a cloud environment using ETL tools, at our headquarters in Arlington, Virginia. 

Come find out why we have a perfect rating on Glassdoor!


Responsibilities included, but not limited to:

  • Implement aspects of application design - high-performance design, coding, caching mechanisms, security, encryption, state management, error logging, debugging, scalability, code reviews, environment configuration, and testing. 
  • Perform unit and system-level testing of applications. 
  • Develop reusable loosely-coupled software components to deploy on cloud platforms. 
  • Implement ETL processes. 
  • Implement business-layers as web service using Java, Spring Framework and JPA. 
Qualifications

Basic Qualifications:

  • Bachelor's Degree in Computer Science, Engineering or a related technical discipline.
  • 5+ years of related software development experience, implementation of large enterprise systems or distributed computing environment
  • Proficiency in Java, Spring, JPA and Hibernate.
  • Proficiency in ETL development using tools such as Pentaho.
  • Experience in solving big-data problems using Open Source technologies such as Hadoop/HDFS, Accumulo, Spark and HBase on a cloud platform.
  • Proficiency in RDBMS including SQL Server, MySQL, Oracle.
  • Proven track record of designing scalable, distributed software applications.
  • Object-oriented design and programming experience.
  • Due to the nature of work performed within our facilities, U.S. citizenship is required.


Preferred Qualifications:

  • 7+ years in Java, C#
  • Cloudera ecosystems Hive, Pig, Impala, HBase, Mahout, Spark
  • Department of Defense SECRET security clearance.  
Additional Information

All your information will be kept confidential according to EEO guidelines. Please include resumes when replying to this post. Contact information for this poster can be found at: https://www.linkedin.com/pub/ashley-a-staring/12/453/767