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Big Data Analyst 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.

ExlService Holdings, Inc.

Big Data Engineer

Pittsburgh, PA · On-site

$100K - $130K/yr

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 ...

GMV

Big Data engineer

Naples, NC · On-site +1

$53.25 - $70.50/hr

You will collaborate with leading professionals in data analysis and processing, as well as in ... Big Data Architectures * Java/Python WHAT DO WE OFFER? * Join our team and culture GMV by entering ...

ExlService Holdings, Inc.

Big Data Engineer

Pittsburgh, PA

$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 ...

Wise Skulls

Big Data Engineer

Dallas, TX · On-site

$51.50 - $68/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 ...

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 ... skills Excellent analytical and process-based skills, i.e. process flow diagrams, business ...

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 ...

Conflux Systems

Big Data Engineer

Charlotte, NC · On-site

$55/hr

Big Data Engineer Location: Charlotte, NC (Hybrid) Client: Synechron / Wells Fargo EXP: 9+ Years ... Collaborate with business analysts, architects, and development teams to gather requirements and ...

Collabera

Lead Datawarehouse /Big Data

Torrance, CA · On-site

Predictive analytics experience is a PLUS Requirements: * Past work experience on h/w, s/w configs ... Oracle Big Data Appliance, Cloudera Hadoop * Expertise in Architecting, Administering, Developing ...

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Big Data Analyst information

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How much do big data analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for big data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How does a big data analyst typically collaborate with data engineers and business stakeholders on projects?

A Big Data Analyst often works closely with data engineers to ensure data pipelines are properly structured and that the necessary data is accessible and clean for analysis. Collaboration with business stakeholders is also key, as analysts translate business goals into analytical questions and present insights in a way that supports decision-making. Frequent communication and iterative feedback cycles are common, with analysts acting as a bridge between technical teams and business units to ensure data-driven solutions align with organizational objectives.

What are the key skills and qualifications needed to thrive as a big data analyst, and why are they important?

To thrive as a Big Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with big data tools like Hadoop, Spark, SQL, and certifications in data analytics platforms are highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and share findings with stakeholders. These skills ensure accurate data-driven decision-making and enable organizations to extract meaningful value from large and complex data sets.

What is the difference between Big Data Analyst vs Data Scientist?

AspectBig Data AnalystData Scientist
CredentialsBachelor's in Data Analysis, Statistics, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentData analysis teams, business units, IT departmentsResearch teams, data science departments, R&D divisions
Employer & IndustryTech, finance, healthcare, retailTech, finance, healthcare, research institutions
Common Search & ComparisonYesYes

Big Data Analysts focus on processing and analyzing large datasets to extract actionable insights, often using tools like SQL and Hadoop. Data Scientists build predictive models and develop algorithms, requiring advanced statistical and programming skills. While both roles work with big data, Data Scientists typically engage in more complex modeling and research tasks, whereas Big Data Analysts concentrate on data interpretation for business decisions.

How much does a Big Data Analyst make?

The average salary for a Big Data Analyst typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with skills in SQL, Hadoop, Spark, and data visualization tools tend to earn higher salaries, especially with certifications and advanced expertise.

What does a Big Data Analyst do?

A Big Data Analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like SQL, Hadoop, or Spark and often require strong analytical skills and knowledge of data visualization. Their work helps organizations optimize operations and develop data-driven strategies.
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What cities are hiring for Big Data Analyst jobs?

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The most popular types of Big Data Analyst jobs are:

Who are the top companies hiring for Big Data Analyst jobs?

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The top searched job categories for Big Data Analyst jobs are:

Big Data Analyst jobs near you
Infographic showing various Big Data Analyst 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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Big Data Developer

Tror AI for everyone

Atlanta, GA • On-site

$51 - $66/hr

Contractor

Re-posted 10 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.