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Big Data Analytics Jobs (NOW HIRING)

NGDATA

Big Data Engineer

Manhattan, NY · On-site

$61.50 - $81.25/hr

NGDATA US INC is seeking a Big Data Engineer to manage customer engagements and oversee the ... analyzing customer data, creating segments, and targeting groups. • Perform code reviews ...

New

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 ...

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 ...

SRP Systems Inc

Data Analyst in Big Data

Princeton, NJ · On-site

... time analytics and business intelligent platforms Ability to understand the meaning and use of the data, as well as analyze the data quality Perform duties such as collecting, parsing, tagging ...

Ventures Unlimited Inc

Big Data Architect

Louisville, KY

$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 ...

SRP Systems Inc

Data Analyst in Big Data

Princeton, NJ · On-site

... time analytics and business intelligent platforms Ability to understand the meaning and use of the data, as well as analyze the data quality Perform duties such as collecting, parsing, tagging ...

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How much do big data analytics jobs pay per hour?

As of Jun 14, 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 are the typical daily responsibilities of a Big Data Analytics professional?

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 to thrive in the Big Data Analytics position, and why are they important?

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.

What is a Big Data Analytics job?

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.

More about Big Data Analytics jobs
What cities are hiring for Big Data Analytics jobs? Cities with the most Big Data Analytics job openings:
What are the most commonly searched types of Big Data Analytics jobs? The most popular types of Big Data Analytics jobs are:
What states have the most Big Data Analytics jobs? States with the most job openings for Big Data Analytics jobs include:
What job categories do people searching Big Data Analytics jobs look for? The top searched job categories for Big Data Analytics jobs are:
Big Data Analytics jobs near you
Infographic showing various Big Data Analytics job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 95% Full Time, 1% Part Time, and 3% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $123,210 per year, or $59.2 per hour.

Big Data Engineer

NGDATA

Manhattan, NY • On-site

$61.50 - $81.25/hr

Full-time

Posted 2 days ago

Job description

Job Summary:
NGDATA US INC is seeking a Big Data Engineer to manage customer engagements and oversee the complete lifecycle from discovery to support. The role involves designing solution architectures, collaborating with teams to translate business requirements, and developing data integration frameworks.
Responsibilities:
• Own customer engagements complete lifecycle – including discovery, design, development, delivery, and support.
• Design and review solution architectures.
• Collaborate with cross-functional teams to translate business requirements into technical solutions and ensure alignment of deliverables and timelines.
• Create detailed functional requirement specifications and technical design documents.
• Perform data modeling and data preparation activities and apply data cleaning techniques.
• Design and develop data integration and ETL frameworks using tools such as Apache NiFi and use restful APIs for enterprise platform integrations.
• Implement big data marketing solution using NGDATA Intelligent Engagement Platform, by analyzing customer data, creating segments, and targeting groups.
• Perform code reviews, functional testing of deliverables, and deployment activities.
Qualifications:
Required:
• Master's degree in Information Systems or equivalent.
• At least 48 months of experience as a Data Engineer, Data Analyst, Software Engineer, Business Intelligence Engineer, or Business Analyst.
• Min. 4 years of experience in project implementation, data preparation, data modelling, customer data, Python, Tableau/PowerBI, SQL, Oracle/MySQL, Jira, and Confluence.
• Min. 2 years of experience in Hadoop, HDFS, HBase, MapReduce, NiFi, Kubernetes, AWS, Azure, and GCP.
Company:
NGDATA, based in Belgium, uses big data technology to provide customer relationship management (CRM) solutions. Founded in 2012, the company is headquartered in Gent, BEL, with a team of 51-200 employees. The company is currently Growth Stage.

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