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Big Data Jobs (NOW HIRING)

Syntricate Technologies

Big Data Developer

Richardson, TX · On-site

$48.25 - $62.50/hr

Syntricate Technologies is seeking a Big Data Developer to work onsite in Richardson, TX. The role involves building automated data pipelines, performing data analysis, and utilizing big data ...

Syntricate Technologies

Big data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Syntricate Technologies is seeking a Big Data Engineer to join their team. The role involves working with big data technologies and cloud data warehouses to design and develop data solutions.

Cymertek Corporation

Big Data Engineer

San Antonio, TX · On-site

$50.25 - $66.50/hr

Cymertek Corporation is seeking a skilled and motivated Big Data Engineer to join their team. In this role, you will design, develop, and maintain data pipelines to support business intelligence and ...

NAVA Software Solutions

Big Data Engineer

Atlanta, GA · On-site

$53.50 - $71/hr

Big Data Engineer Location: Atlanta GA - Hybrid Duration: 12 months The successful candidate must have Big Data engineering experience and must demonstrate an affinity for working with others to ...

Cymertek Corporation

Big Data Engineer

Aurora, CO · On-site

$56.50 - $74.75/hr

They are seeking a skilled and motivated Big Data Engineer to design, develop, and maintain data pipelines, optimize data storage solutions, and support business intelligence and analytics needs.

SRP Systems Inc

Big Data Trainer

Princeton, NJ · 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 ...

ACI Infotech

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 ...

Sonsoft Inc

Big Data

Saint Louis, MO

Should be well versed with Big Data Landscape, Data warehousing and Business Intelligence * Should have hands-on experience in any of the big data technologies like Map reduce, Hadoop, Hortonworks ...

Software Guidance & Assistance

Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

We are seeking a highly skilled and experienced Big Data Engineer to design, develop, and optimize large-scale data processing systems. In this role, you will work closely with cross-functional teams ...

Sonsoft Inc

Big Data

Saint Louis, MO · On-site

Should be well versed with Big Data Landscape, Data warehousing and Business Intelligence * Should have hands-on experience in any of the big data technologies like Map reduce, Hadoop, Hortonworks ...

SRP Systems Inc

Big Data Trainer

Princeton, NJ · 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 ...

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.

Ocelot Consulting

Big Data Engineer

Creve Coeur, MO · 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 ...

E*Pro, Inc.

Big Data Developer

San Jose, CA · On-site

$62 - $80.50/hr

Hadoop Big Data Technologies HBase Linux Core Java Mongo DB Big Data Architecture knowledge is prefered Additional Information All your information will be kept confidential according to EEO ...

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How much do big data jobs pay per year?

As of Sep 2, 2026, the average yearly pay for big data in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a big data?

A Big Data job involves managing, analyzing, and interpreting large volumes of data to help organizations make data-driven decisions. Professionals in this field work with technologies like Hadoop, Spark, and SQL, and use programming languages such as Python or Java. Roles can vary from data engineers who build data pipelines to data scientists who apply machine learning models. The goal is to extract meaningful insights from complex datasets to improve business operations and strategies.

What are the typical daily responsibilities in a big data role?

Professionals working in Big Data roles often spend their days collecting, cleaning, and processing large and complex datasets using various data technologies. They design data models, write complex queries, and develop algorithms to extract actionable insights for business stakeholders. Collaboration with data scientists, software engineers, and business analysts is common, as projects frequently require cross-functional teamwork. Additionally, staying up to date with emerging tools and maintaining data security are critical ongoing tasks.

What are the key skills and qualifications needed to thrive in a big data position?

To thrive in a Big Data role, you need strong analytical abilities, proficiency in programming languages like Python or Java, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Experience with big data tools such as Hadoop, Spark, and NoSQL databases, as well as certifications like Cloudera Certified Data Engineer, are highly valuable. Problem-solving skills, attention to detail, and effective communication are essential soft skills for success. These abilities enable professionals to manage, analyze, and interpret vast datasets to drive business decision-making and innovation.

Is big data still in demand?

Big Data professionals are in high demand across industries such as finance, healthcare, and technology due to the increasing reliance on data analytics and cloud computing. Skills in tools like Hadoop, Spark, and data modeling enhance job prospects, and certifications can improve employability in this evolving field.

What jobs are in big data?

Jobs in big data include roles such as Data Engineer, Data Scientist, Big Data Analyst, and Data Architect. These positions typically require skills in programming languages like Python or Java, knowledge of big data tools such as Hadoop or Spark, and experience with data modeling and database management. Certifications in data management or cloud platforms can also enhance job prospects.
More about Big Data jobs

What cities are hiring for Big Data jobs?

Cities with the most Big Data job openings:

What are the most commonly searched types of Big Data jobs?

The most popular types of Big Data jobs are:

What states have the most Big Data jobs?

States with the most job openings for Big Data jobs include:

What job categories do people searching Big Data jobs look for?

The top searched job categories for Big Data jobs are:

Big Data jobs near you
Infographic showing various Big Data 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 $165,018 per year, or $79.3 per hour.

Big Data Developer

Syntricate Technologies

Richardson, TX • On-site

$48.25 - $62.50/hr

Full-time

Re-posted 17 hours ago

Job description

Job Summary:
Syntricate Technologies is seeking a Big Data Developer to work onsite in Richardson, TX. The role involves building automated data pipelines, performing data analysis, and utilizing big data frameworks such as Hadoop and Spark.
Responsibilities:
• Strong in SQL and Python, 5+ years' experience.
• Experience with big data frameworks (i.e. Hadoop and Spark), 5+ years' experience. Experience building automated data pipelines, 5+ years of experience.
• Experience performing data analysis and data exploration, 5+ years' experience.
• Experience working in an agile delivery environment.
• Strong critical thinking, communication, and problem solving skills.
• Experience with Google Cloud Platform.
• Experience with GCP services (GCS Bucket, Cloud Functions, Dataproc, Dataflows, Pub-Sub)Experience working in multi-developer environment, using version control (i.e. Git)
• Experience with orchestrating pipelines using tools (i.e. Airflow, Azure Data Factory)
• Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions Kafka, Spark Streaming)
• Experience with API build. Exposure/understanding DevOps best practice and CICD (i.e. Jenkins) Exposure/understanding of containerization (i.e. Kubernetes, Docker)
• Digital : Python, Snowflake
Qualifications:
Required:
• Strong in SQL and Python, 5+ years' experience.
• Experience with big data frameworks (i.e. Hadoop and Spark), 5+ years' experience.
• Experience building automated data pipelines, 5+ years of experience.
• Experience performing data analysis and data exploration, 5+ years' experience.
• Experience working in an agile delivery environment.
• Strong critical thinking, communication, and problem solving skills.
• Experience with Google Cloud Platform.
• Experience with GCP services (GCS Bucket, Cloud Functions, Dataproc, Dataflows, Pub-Sub)
• Experience working in multi-developer environment, using version control (i.e. Git)
• Experience with orchestrating pipelines using tools (i.e. Airflow, Azure Data Factory)
• Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions Kafka, Spark Streaming)
• Experience with API build.
• Exposure/understanding DevOps best practice and CICD (i.e. Jenkins)
• Exposure/understanding of containerization (i.e. Kubernetes, Docker)
• Digital : Python, Snowflake
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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