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Big Jobs (NOW HIRING)

Big Data Developer

Chicago, IL ยท On-site

$54.75 - $71/hr

Big Data Developer Location: Chicago, IL Duration: 6 - 24 Months REQUIRED SKILLS: * Development * Design/architecture * Hadoop Talend Hortonworks * Pig * Hive * Kafka Spark Big Data Developer * 4-6 ...

Big Data Trainer

Princeton, NJ ยท On-site

$55.50 - $72/hr

Company Description SRP is a big data company located in Princeton, NJ focused on Dynamic Pricing, run by seasoned alumni from Stanford University and Wharton. We are looking to hire a part-time ...

Senior Big Data Developer

Bristol, CT ยท On-site

$53 - $68.75/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. Responsibilities: Design, develop and implement big data solutions on both ...

Big Data Trainer

Princeton, NJ ยท On-site

$55.50 - $72/hr

Company Description SRP is a big data company located in Princeton, NJ focused on Dynamic Pricing, run by seasoned alumni from Stanford University and Wharton. We are looking to hire a part-time ...

Big Data Developer

Wilmington, DE ยท 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 ...

Big Data developer

Redmond, WA

$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 ...

Big data Administrator Location: Bellevue, WA Candidate should be well versed in Big Data Installation, Configuration and Maintenance. Qualifications Additional Information All your information will ...

Big data Administrator Location: Bellevue, WA Candidate should be well versed in Big Data Installation, Configuration and Maintenance. Additional Information All your information will be kept ...

Big Data Engineer

Creve Coeur, MO ยท On-site

$52.25 - $69/hr

As a big data engineer you will develop innovative software using state of the art big data streaming architectures. Qualifications Requirements * Extensive experience setting up and doing ...

At least 4 years application Big Data project implementation experience including requirements gathering, architecture, functional and technical design * At least 3 years of experience in leading ...

Big Data Engineer

Jersey City, NJ ยท On-site

$58.25 - $77/hr

Role: Big Data Engineer Location: Jersey City, NJ Type: Full-Time Description : We are seeking an experienced Big Data Engineer with hands-on experience in designing, developing, and managing ...

Big Data Engineer

Tampa, FL ยท On-site

$52.75 - $69.75/hr

Big Data Engineer Location: Atlanta, GA / Tampa, FL/ Dallas, TX Job Summary We are seeking an experienced Big Data Engineer to design, build, and optimize large-scale data pipelines and distributed ...

Big Data Engineer

$57 - $75.50/hr

Senior Software Engineer, Big Data Duration : Long Term Exp: 10+ years Job Overview : We are currently seeking an Senior Big Data Engineer in Hadoop Plaftform. Our ideal candidate exhibits a can-do ...

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Showing results 1-20

Big information

See salary details

$19.5K

$106.9K

$195.5K

How much do big jobs pay per year?

As of Jun 9, 2026, the average yearly pay for big in the United States is $106,879.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $144,500.00 per year, depending on experience, location, and employer.

What is the difference between Big vs Small?

AspectBigSmall
Company SizeLarge corporations with thousands of employeesSmall businesses or startups with fewer than 50 employees
Work EnvironmentStructured, hierarchical, formal policiesFlexible, informal, collaborative
Required CredentialsOften higher or specialized certificationsFewer formal credentials needed, more on-the-job training
Industry UsageCommon in finance, tech, manufacturingPrevalent in creative, local services, startups

Big companies typically offer structured environments, formal policies, and often require advanced credentials. Small companies tend to be more flexible, informal, and may prioritize practical experience over formal certifications. The choice depends on your preferred work environment and career goals.

What are some common challenges faced by Big Data Engineers when managing large-scale data pipelines?

Big Data Engineers often encounter challenges such as ensuring data quality and consistency across distributed systems, optimizing data pipeline performance to handle massive data volumes, and maintaining data security and compliance. They also need to troubleshoot complex issues that arise with real-time data processing and integration from multiple sources. Collaborating closely with data scientists, analysts, and IT teams is essential to design scalable solutions that meet business needs.

What are Big Data Engineers?

Big Data Engineers are IT professionals who design, build, and maintain systems that process large volumes of data. They create the architecture and pipelines required to collect, store, and analyze data efficiently, often working with technologies like Hadoop, Spark, and NoSQL databases. Their work enables organizations to derive valuable insights from massive datasets, supporting data-driven decision-making and advanced analytics.

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

To thrive as a Big Data Engineer, you need a strong background in computer science, data modeling, and programming languages like Python, Java, or Scala, often supported by a relevant degree. Proficiency with big data frameworks (such as Hadoop and Spark), cloud platforms, and database systems is essential, along with certifications like AWS Certified Big Data or Cloudera Certified Professional. Analytical thinking, problem-solving, and effective collaboration are valuable soft skills for tackling complex data challenges and working in diverse teams. These skills ensure efficient data processing, reliable infrastructure, and actionable insights that drive business value.
More about Big jobs
What cities are hiring for Big jobs? Cities with the most Big job openings:
What are the most commonly searched types of Big jobs? The most popular types of Big jobs are:
What states have the most Big jobs? States with the most job openings for Big jobs include:
Infographic showing various Big job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $106,879 per year, or $51.4 per hour.
Big Data Developer

$54.75 - $71/hr

Full-time

Posted 12 days ago


Job description

Role: Big Data Developer
Location: Chicago, IL
Duration: 6 - 24 Months
REQUIRED SKILLS:
  • Development
  • Design/architecture
  • Hadoop
    Talend
    Hortonworks
  • Pig
  • Hive
  • Kafka Spark

Job Description: Big Data Developer
  • 4-6 years of experience in Big Data development using Hadoop with a good understanding in all phases of software development life cycle.
  • Experience using Hadoop Technologies like Hortonworks "Hive, Spark, Pig, or Kafka"
  • Experience using Talend
  • Participate in sprint planning, design, coding, unit testing, sprint reviews
  • Provide basic design documents and translates into component-level designs to accelerate development. Designs, develops, and distributes reusable technical components.
  • Assist in developing technical documentation; participate in test-plan development, integration and deployment
  • External Communities Job Description -Strategic Hadoop Developer need at one of our largest Health care clients in Chicago
  • Long-term engagement, up to 24 months
  • Participate in sprint planning, design, coding, unit testing, sprint reviews
  • Provide basic design documents and translates into component-level designs to accelerate development
  • Must need to be able to navigate IT and key business stakeholders
  • Additional Information This group is responsible for introducing new Products into the market for consumers.

Candidates will work with the following technologies:
  • Hadoop
  • Talend
  • Hortonworks

Work Environment
  • Fast paced and they are slowly adopting Agile.

Position Updates:
  • Fill/Loss/Wash
  • Loss/Wash Reason
  • Num Positions to Update

Big Data technology experiences, including Hadoop - hBase, Hive, and Kafka
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