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Big Data Engineering Jobs in New York (NOW HIRING)

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 - Must have Scala - Must Have Hive & SQL - Must Have Hadoop - Must Have Communication - Must Have ...

Prophecy Technologies

BIG DATA ENGINEER

Berkeley Heights, NJ · On-site

$58.25 - $77/hr

Big Data Engineer (Java,Spark, Hadoop, Ozone CH) Location: Berkeley Heights, NJ Role Overview: We ... data engineering projects. Behavioral Skills: • Good Communication skills • 5 days Work from ...

Accord Technologies Inc.

Sr. Big Data Engineer

Weehawken, NJ · On-site

$60.50 - $80.25/hr

Sr. Big Data Engineer Weehawken, NJ Strong Banking Domain experience is required Only Local ... Background in platform engineering roles on cloud platforms, with strong knowledge of Azure ...

1 point system

Big Data Engineer

New York, NY · Remote

$57 - $75.50/hr

Does NOT want a machine learning engineer, wants a big data engineer Required Skills: * 5-10 years of experience * Python, Airflow, PySpark, Spark SQL, Spark Streaming, Scala, Relational/No SQL ...

ClifyX

Big Data Developers

Manhattan, NY · On-site

ClifyX is a company seeking Big Data Developers. The role involves working with various components of the Hadoop ecosystem and requires hands-on experience with tools like Hadoop, Spark, and Kafka.

GlobalLogic Inc.

Big Data Engineer

Bernardsville, NJ · On-site

$110K - $115K/yr

Perform performance tuning, diagnose, and resolve complex big data and streaming technical issues ... Bachelor's or Master's degree in Computer Science, Computer or Electrical Engineering, Mathematics ...

New

Throtle

Big Data Engineer

Red Bank, NJ · On-site

$130K - $146K/yr

Vision insurance Job Summary Please consider joining our technology team at Throtle as a Big Data Developer. In this role, you will be part of the team that is responsible for transforming and ...

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Big Data Engineering information

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$96

How much do big data engineering jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for big data engineering in New York is $68.90, according to ZipRecruiter salary data. Most workers in this role earn between $58.65 and $77.60 per hour, depending on experience, location, and employer.

What is big data engineering?

Big Data Engineering is the field focused on designing, building, and maintaining systems and architecture that process large volumes of structured and unstructured data. Big Data Engineers develop pipelines for collecting, storing, and analyzing data from various sources, ensuring the data is accessible, reliable, and efficient to process. They work with technologies like Hadoop, Spark, and cloud platforms to manage data at scale, enabling organizations to gain insights and make data-driven decisions. This role requires a strong foundation in programming, data modeling, and distributed systems.

What are some common challenges big data engineers face when working with large-scale data systems?

Big Data Engineers often encounter challenges related to data quality, system scalability, and performance optimization. Managing and processing vast amounts of data can strain infrastructure, requiring careful selection of storage and processing frameworks like Hadoop or Spark. Ensuring data pipelines are robust and reliable, handling data inconsistencies, and troubleshooting distributed systems are regular parts of the job. Collaboration with data scientists and analysts is essential to ensure that data is accessible and usable for downstream applications.

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

To thrive as a Big Data Engineer, you need strong programming skills (such as Java, Scala, or Python), expertise in data modeling, and a solid understanding of distributed computing, typically backed by a degree in computer science or a related field. Familiarity with big data tools like Hadoop, Spark, Kafka, and proficiency in SQL/NoSQL databases, along with cloud platforms like AWS or Azure, are essential, and certifications like Cloudera or AWS Big Data can be advantageous. Problem-solving ability, attention to detail, and effective communication are critical soft skills for designing robust data pipelines and collaborating with cross-functional teams. These competencies enable efficient management and extraction of insights from massive datasets, driving data-driven decision-making across organizations.

What is the difference between Big Data Engineering vs Data Engineering?

AspectBig Data EngineeringData Engineering
Required CredentialsBachelor's in CS, Data Science, or related; often certifications in Hadoop, SparkBachelor's in CS, Software Engineering, or related; similar certifications
Work EnvironmentLarge-scale data systems, distributed computing platformsVaried environments including databases, data warehouses, cloud platforms
Industry UsageTech, finance, healthcare, e-commerce with big data needsBroad industry use, including startups and enterprises

Big Data Engineering focuses on building and managing large-scale data processing systems using distributed frameworks like Hadoop and Spark. Data Engineering covers a broader scope, including designing data pipelines, databases, and data warehouses. While both roles require similar skills and credentials, Big Data Engineering specializes in handling massive datasets with distributed systems, whereas Data Engineering may involve a wider range of data management tasks across different environments.

Are big data engineers in demand?

Big data engineers are in high demand due to the increasing reliance on data-driven decision making across industries. They are skilled in technologies like Hadoop, Spark, and cloud platforms, and often find opportunities in sectors such as finance, healthcare, and technology. The role typically requires strong programming, data management, and analytical skills, with job growth expected to continue as data volumes grow.

What does a Big Data Engineer do?

A Big Data Engineer designs, builds, and maintains large-scale data processing systems using tools like Hadoop, Spark, and Kafka. They develop data pipelines, optimize data storage, and ensure data quality to support analytics and machine learning applications.

What are popular job titles related to Big Data Engineering jobs in New York?

For Big Data Engineering jobs in New York, the most frequently searched job titles are:

What job categories do people searching Big Data Engineering jobs in New York look for?

The top searched job categories for Big Data Engineering jobs in New York are:

Big Data Engineering jobs near you
Infographic showing various Big Data Engineering job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $143,319 per year, or $68.9 per hour.

Big Data Engineer

Arka Infotech Inc

New York, NY

$61 - $80.75/hr

Full-time

Re-posted 13 days ago

Job description

Job Description
Big Data Engineer
NYC, NY
Full time position
Looking for Big Data Engineers with Elastic search exp, Kafka, Storm.


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