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Big Data Analyst Jobs (NOW HIRING)

Accord Technologies Inc.

Sr. Big Data Engineer

Charlotte, NC · On-site

$54.50 - $72/hr

W2 contract We are seeking Big Data Engineer to join our Enterprise Data & Analytics team. In this role, you will design and implement cutting-edge data solutions to transform how we manage, process ...

Sonsoft Inc

Big Data Hadoop/Mongo

Torrance, CA

Strong experience in Big Data, NoSQL Databases. * Strong Experience in Mongo DB, Storm, HDFS, Hive ... Analysis and understanding of upstream and downstream data needs for analytics. * Ability to work ...

krg technology inc

Big Data Architect

Fort Myers, FL

$59.50 - $76.50/hr

... Big data analytics technologies Played pivotal roles as an engineer and architect across domains ... MySQL or Oracle), Analytics platforms (e.g. Pentaho, BO or similar) and OLAP technologies Solid ...

Futran Tech Solutions Pvt. Ltd.

Data Analyst

Tampa, FL · On-site

Tampa ,FL ( hybrid with 3 days onsite per week) Job Requirements Data Analyst with strong experience in Big Data, Cloud (AWS & GCP), and AI/ML-enabled data platforms. Good in Snowflake NoSQL: MongoDB ...

Sonsoft Inc

Big Data Hadoop/Mongo

Torrance, CA

Strong experience in Big Data, NoSQL Databases. * Strong Experience in Mongo DB, Storm, HDFS, Hive ... Analysis and understanding of upstream and downstream data needs for analytics. * Ability to work ...

krg technology inc

Big Data Architect

Bethesda, MD

$68.25 - $87.75/hr

Strong understanding of Big Data Analytics platforms and ETL in the context of Big Data * Ability to frame architectural decisions, provide technology leadership & direction * Excellent problem ...

Sonsoft Inc

Big Data Hadoop/Mongo

Torrance, CA

Strong experience in Big Data, NoSQL Databases. * Strong Experience in Mongo DB, Storm, HDFS, Hive ... Analysis and understanding of upstream and downstream data needs for analytics. * Ability to work ...

krg technology inc

Big Data Architect

Bethesda, MD

$68.25 - $87.75/hr

Strong understanding of Big Data Analytics platforms and ETL in the context of Big Data * Ability to frame architectural decisions, provide technology leadership & direction * Excellent problem ...

Roberts Recruiting

Big Data Development Manager

Boston, MA

$57.50 - $74.75/hr

We are looking for a hands-on software manager to own our Big Data and Analytics Platform. We are building thenext generation data services and analytics platform to analyze our ever-growing ...

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Big Data Analyst information

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How much do big data analyst jobs pay per year?

As of Jun 18, 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.

Can ISFJ be a data analyst?

ISFJ personality types can pursue a career as a data analyst, as success in this role depends more on skills such as data interpretation, attention to detail, and proficiency with tools like Excel or SQL. While personality can influence work style, technical competence and analytical abilities are key factors for data analysts.

Is 40 too late for data science?

A Big Data Analyst can start or transition into data science at age 40, as the field values skills like programming, statistical analysis, and experience with tools such as Python or R. Many professionals successfully switch careers or advance later in life, and continuous learning through online courses or certifications can enhance employability regardless of age.

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.

What do big data analysts do?

Big data analysts collect, process, and analyze large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like SQL, Python, or Hadoop and often work with data visualization software to communicate findings effectively.

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.
More about Big Data Analyst jobs
What cities are hiring for Big Data Analyst jobs? Cities with the most Big Data Analyst job openings:
What are the most commonly searched types of Big Data Analyst jobs? The most popular types of Big Data Analyst jobs are:
Who are the top companies hiring for Big Data Analyst jobs? The top employers for Big Data Analyst jobs are:
What states have the most Big Data Analyst jobs? States with the most job openings for Big Data Analyst jobs include:
What job categories do people searching Big Data Analyst jobs look for? 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 June 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Big Data Engineer

Precision Technologies Corp

Jersey City, NJ • On-site

$58.25 - $77/hr

Full-time

Posted 25 days ago

Job description

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 scalable big data pipelines and platforms. The ideal candidate should have strong expertise in Hadoop, Spark, Hive, and distributed computing concepts. You will work closely with data scientists, analysts, and business stakeholders to build data solutions that support analytics, reporting, and advanced insights.

Responsibilities:

  • Design and develop end-to-end data pipelines using big data technologies.
  • Optimize and tune Spark/Hadoop jobs for large-scale processing.
  • Implement data ingestion frameworks from multiple sources (streaming & batch).
  • Collaborate with cross-functional teams to define data architecture and strategy.
  • Ensure data quality, security, and compliance across all platforms.

Required Skills:

  • Strong experience with Hadoop ecosystem (HDFS, Hive, Pig).
  • Expertise in Apache Spark (PySpark/Scala/Java).
  • Proficient in SQL and data modeling techniques.
  • Familiarity with data pipeline orchestration tools (Airflow, Oozie, etc.).
  • Good understanding of cloud platforms like AWS/GCP/Azure is a plus.
  • Excellent problem-solving and communication skills.