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Big Data Analytics Jobs (NOW HIRING)

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 ... Collaborate with data architects, analysts, and application teams to deliver data solutions.

3B Staffing LLC

Big Data Developer

Jersey City, NJ

$55.25 - $71.75/hr

Role: Senior Big Data Developer Work Location: Jersey City, NJ Local only Duration: 6+ Months ... Work with business and functional analysts, and software & solution architects in ensuring that ...

3B Staffing LLC

Big Data Developer

Jersey City, NJ · On-site

$55.25 - $71.75/hr

Role: Senior Big Data Developer Work Location: Jersey City, NJ Local only Duration: 6+ Months ... Work with business and functional analysts, and software & solution architects in ensuring that ...

Ventures Unlimited Inc

Big Data Architect

Louisville, KY · On-site

$61.25 - $78.75/hr

Big Data Architect Location : Louisville, KY Duration: Full Time : 10-15 yrs. total experience in ... Analyze, design, develop, test and deploy data driven analytics, event driven/ real time analytics ...

ExlService Holdings, Inc.

Big Data Engineer

Pittsburgh, PA · On-site

$54 - $71.50/hr

Collaborate with data analysts, data scientists, and business stakeholders to translate data ... Big Data / Hadoop ecosystem (Hadoop, Hive, Impala, HDFS) - deep, hands-on experience in on-premises ...

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How much do big data analytics jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for big data analytics in the United States is $59.24, according to ZipRecruiter salary data. Most workers in this role earn between $58.65 and $59.86 per hour, depending on experience, location, and employer.

What is a big data analytics?

A Big Data Analytics job involves analyzing large and complex datasets to extract meaningful insights, trends, and patterns that help businesses make data-driven decisions. Professionals in this field use tools like Hadoop, Spark, SQL, and machine learning algorithms to process and interpret data. Responsibilities may include data mining, predictive modeling, and creating visualizations to communicate findings effectively. These roles are in high demand across industries like finance, healthcare, e-commerce, and technology. Strong analytical skills, programming knowledge, and an understanding of data infrastructure are essential for success in this field.

What does a big data analytics professional do?

A Big Data Analytics professional typically spends their day collecting, cleaning, and organizing large datasets, designing and running data models, and interpreting trends to generate actionable insights for business stakeholders. They may collaborate closely with data engineers, data scientists, and business analysts to ensure data quality and relevance. Regular tasks also include creating data visualizations, preparing reports, and presenting findings to both technical and non-technical teams. Working in this field often involves keeping up-to-date with new technologies and methods to optimize and streamline analytics processes.

What are the key skills and qualifications needed for big data analytics?

To excel in Big Data Analytics, professionals need strong analytical abilities, proficiency in data modeling, statistics, and a solid foundation in computer science or mathematics, often supported by a relevant degree. Experience with tools like Hadoop, Spark, SQL, and familiarity with programming languages such as Python or R—as well as certifications in big data technologies—are highly valued. Critical thinking, effective communication, and problem-solving skills help in translating complex data into actionable business insights. These capabilities are crucial for handling large datasets, deriving meaningful conclusions, and supporting organizational decision-making.

Is big data analytics a good career?

Big Data Analytics is a growing field with high demand for professionals skilled in data mining, statistical analysis, and tools like Hadoop and Spark. It offers competitive salaries, opportunities across various industries, and requires continuous learning of new technologies and programming languages such as Python or R.
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Big Data Analytics jobs near you
Infographic showing various Big Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $123,210 per year, or $59.2 per hour.

Big Data Developer

Tror AI for everyone

Atlanta, GA • On-site

$51 - $66/hr

Contractor

Re-posted 25 days ago

Job description

Job Title: 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 Platform (GCP), Dataflow, and modern Big Data technologies. The ideal candidate will design, develop, and ptimize scalable data pipelines and processing frameworks to support enterprise analytics and data-driven applications.

Key Responsibilities

  • Design, build, and maintain scalable Big Data pipelines using GCP services.
  • Develop and manage batch and streaming data processing using Dataflow / Apache Beam.
  • Work with BigQuery, Cloud Storage, Pub/Sub, and Dataproc for end-to-end data solutions.
  • Optimize data processing performance, reliability, and cost efficiency in GCP.
  • Collaborate with data architects, analysts, and application teams to deliver data solutions.
  • Implement data quality, validation, and monitoring mechanisms.
  • Support production deployments, troubleshooting, and performance tuning.
  • Follow best practices for security, governance, and compliance in cloud environments.

Required Skills

  • Strong hands-on experience in Big Data development (8+ years).
  • Expertise in GCP services – Dataflow, BigQuery, Pub/Sub, Cloud Storage, Dataproc.
  • Experience with Apache Beam, Spark, or Hadoop ecosystem.
  • Proficiency in Java, Python, or Scala.
  • Solid understanding of ETL/ELT, data modeling, and distributed systems.
  • Experience with CI/CD, Git, and cloud deployment practices.
  • Strong problem-solving and debugging skills

Preferred Qualifications

  • Experience with real-time streaming architectures.
  • Knowledge of Data governance, security, and IAM in GCP.
  • Familiarity with containerization or orchestration tools (Docker, Kubernetes).
  • Prior experience working in enterprise or large-scale data environments.