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Big Data Developer Jobs (NOW HIRING)

Techno Talent Inc.

Big Data Developer

Rockville, MD · On-site

$54 - $70/hr

Big Data Developer Location: Rockville, MD or Tysons Corner, VA Work Setting: Onsite We are seeking an experienced Big Data Developer with strong expertise in Apache Spark, Hadoop, AWS, Python/Scala ...

Collabera

Big Data Developer

Phoenix, AZ · On-site

$52.50 - $68.25/hr

HIVE, PIG, Ozzy, Fully hands on Big Data developer Duration:1 year Additional Information Big data Developer needed

Tror AI for everyone

Big Data Developer

Atlanta, GA · On-site

$51 - $66/hr

Big Data Developer Location: Georgia (GA) Work Authorization: Only USC / GC Experience: 8+ Years Job Summary We are seeking an experienced Big Data Developer with strong expertise in Google Cloud ...

Inherent Technologies

Big Data Developer

Jersey City, NJ · On-site

$55.25 - $71.75/hr

Big Data Developer Location: New Jersey, NJ***Hybrid 3 days in a Week*** Duration: 1 Years Spark - Must have Scala - Must Have Hive & SQL - Must Have Hadoop - Must Have Communication - Must Have ...

SRI Tech solutions Inc

Big Data developer

Redmond, WA · On-site

$59.25 - $77/hr

Big Data developer Redmond, WA Long term Contract (On W2) Need a Strong candidate with Big data and Kafka • Provide thought leadership for the MFS data platform team and collaborate with cross ...

SRI Tech solutions Inc

Big Data developer

Redmond, WA · On-site

$59.25 - $77/hr

Big Data developer Redmond, WA Long term Contract (On W2) Need a Strong candidate with Big data and Kafka Provide thought leadership for the MFS data platform team and collaborate with cross ...

Tata Consultancy Services

Big data Developer

Jersey City, NJ · On-site

$58 - $75.25/hr

Tata Consultancy Services is a leading technology services and consulting company, and they are seeking a Big Data Developer. The role involves analyzing complex problems and evaluating business ...

EROS Technologies Inc

Big Data Developer

Mooresville, NC · On-site

$50.25 - $65/hr

They are seeking a Big Data Developer to code, test, and analyze application software while improving existing code and collaborating with team members to enhance software effectiveness.

Jobsbridge

Big Data Developer

Glendale, CA · On-site

$56.25 - $72.75/hr

Skill Big Data Developer Java Hadoop DaaS Java Hadoop / Hive / MapReduce / Pig / Sqoop / Flume SQL XML JSO Location Glendale, CA Total Experience 3 yrs. Max Salary Not Mentioned Employment Type ...

Futran Tech Solutions Pvt. Ltd.

Big Data Developer

Austin, TX · On-site

$52.50 - $68.25/hr

Big Data Developer Austin, TX (Day 1 onsite) - Full-time Primary Skillset: Spark, Scala, AWS Secondary Skillset : Python, Kafka Common data archetypes, writing and coding functions, algorithms, logic ...

AYR Global IT Solutions Inc

Big Data Developer

Wilmington, DE · On-site

$51.50 - $66.75/hr

Big Data Developer Location: Wilmington, DE Duration: 6+ Months Contract Only US Citizens and GC holders Only !! Location For INTERVIEW: Princeton, NJ (In-person interview) Qualifications Must have ...

EROS Technologies, Inc.

Big Data Developer

Mooresville, NC

$50.25 - $65/hr

Big Data Developer Location: MOORESVILLE, NC Duration: 4+ Months Rate: Open (DOE) SUMMARY of SKILL Must Have Skills 2+ years experience in Big Data Solutions using o Hadoop, Hortonworks 2.7 or 3.5 ...

Mindlance

Big Data Developer

Detroit, MI · On-site

$52.25 - $68/hr

They are seeking a Big Data Developer to install, configure, and administer Cloudera clusters, as well as develop functionality within Hadoop clusters and manage data files in HDFS. Responsibilities ...

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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.
More about Big Data Developer jobs
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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 Developer

Techno Talent Inc.

Rockville, MD • On-site

$54 - $70/hr

Other

Posted 28 days ago

Job description

Big Data Developer
Location: Rockville, MD or Tysons Corner, VA

Work Setting: Onsite

Job Description:

We are seeking an experienced Big Data Developer with strong expertise in Apache Spark, Hadoop, AWS, Python/Scala, and SQL to build and optimize large-scale data processing solutions.

Required Skills:
  • 8+ years of Big Data/Data Engineering experience
  • Strong hands-on experience with Apache Spark
  • Hadoop Ecosystem: Hadoop, Hive, Trino
  • Strong programming skills in Python or Scala
  • Advanced SQL (Joins, Window Functions, Aggregations, Query Optimization)
  • Experience building and supporting large-scale ETL/Data Pipelines
  • AWS Services: S3, EMR, Glue, Athena, Lambda
  • Experience troubleshooting Spark jobs, data skew, performance tuning, and large-volume data processing
  • Knowledge of Agile/Scrum development methodologies
  • Experience with AI-assisted development tools (GitHub Copilot, ChatGPT, Claude, Amazon Q)
Preferred Skills:
  • EKS / Kubernetes
  • CI/CD Pipelines
  • Test Automation
  • Production Data Pipeline Support
  • AWS Certifications
  • Financial Services Experience

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