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Big Data Production Support Engineer Jobs (NOW HIRING)

Big Data

Moline, IL

$48 - $62/hr

Must have strong programming knowledge of Core Java or Scala - Objects & Classes, Data Types ... Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive ...

Production Support Engineer

Whippany, NJ · On-site

$42.25 - $55/hr

Embark on a transformative journey as a Production Support Engineer. At Barclays, our vision is clear -to redefine the future of banking and help craft innovative solutions. In this role, you'll ...

Big Data developer

Redmond, WA · On-site

$59.25 - $77/hr

Big Data developer Redmond, WA Long term Contract (On W2) Need a Strong candidate with Big data and Kafka • Provide thought leadership for the MFS data platform team and collaborate with cross ...

Java Engineer (Big Data)

Denver, CO · On-site

$57.50 - $76/hr

They are seeking a Java Engineer with a Big Data focus to join a team of developers and work on ... Responsibilities : • designing, developing, implementing and supporting systems that process ...

Big Data Engineer

Red Bank, NJ · On-site

$130K - $146K/yr

... a Big Data Developer. In this role, you will be part of the team that is responsible for ... A 401k plan supported by a company match. * Half Day Summer Fridays (close at 1 p.m. Memorial Day ...

Big Data Developer

Glendale, CA · On-site

$56.25 - $72.75/hr

... Deploy on Production) is required Demonstrated expertise and at least 2 years of hands-on ... and supporting RESTful Web Services is required Knowledge in various Open Source tools and ...

... the R programming. * Excellent knowledge of Hadoop architecture and administration and support ... Expertise in Hadoop ecosystem products such as HDFS, MapReduce, Hive, Pig, Spark, AVRO, HBase ...

Big Data Engineer

Mountain View, CA · On-site

$65.75 - $87/hr

... Big Data & Java etc. * Work with business partners directly to seek clarity on requirements ... Take ownership of production deployment of code * Collaborating with and/or lead cross functional ...

Big Data Engineer[Hybrid]

Dallas, TX · On-site

$55.25 - $73/hr

Skills Needed: Big Data, Spark SQL, Scala code, GCP Local to FL/TX/GA Position: Big Data Engineer Location: Temple Terrace, FL / Irving, Dallas TX / Alpharetta, GA (Hybrid - 3 Days in a Week Onsite ...

Big Data Engineer

Chevy Chase, MD · On-site

$59.50 - $78.75/hr

The company seamlessly integrates software, deep professional services & expert support for all ... Big Data Engineer Start Date: ASAP Location: Chevy Chase, MD Duration: 12--24+ Month Contract Mode ...

Senior Big Data Developer

Bristol, CT · On-site

$53 - $68.75/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. Responsibilities: Design, develop and implement big data solutions on both ...

Production Support Engineer

Atlanta, GA · On-site

$40.50 - $52.75/hr

Georgia IT, Inc. is seeking a Production Support Engineer to manage infrastructure projects for their client, Genpact. The role involves directing and managing complex project developments ...

Cloud Big Data Software Engineer

Tysons, VA · On-site

$56 - $74/hr

Cloud Big Data Software Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note ... From employee and family events to career-long support, we create a community you'll never want to ...

Showing results 41-60

Big Data Production Support Engineer information

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$18

$47

$80

How much do big data production support engineer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for big data production support engineer in the United States is $47.97, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $52.64 per hour, depending on experience, location, and employer.

What cities are hiring for Big Data Production Support Engineer jobs?

Cities with the most Big Data Production Support Engineer job openings:

What are popular job titles related to Big Data Production Support Engineer jobs?

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Big Data Engineer

Sunnyvale, CA • On-site

Texas State Library and Archives Commision
Libraries and Archives • 201 - 500 employees

$65.50 - $86.50/hr

Full-time

Re-posted 25 days ago


Job description

Big Data Engineer:
Must Have:
• Proficiency in managing and manipulating huge datasets in the order of terabytes (TB) is essential
• Expertise in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) to build batch data pipelines with strong focus on optimization, SLA adherence and fault tolerance.
• Expertise in building idempotent workflows using orchestrators like Automic, Airflow, Luigi etc.
• Expertise in writing SQL to analyze, optimize, profile data preferably in BigQuery or SPARK SQL
• Strong data modeling skills are necessary for designing a schema that can accommodate the evolution of data sources and facilitate seamless data joins across various datasets
• Ability to work directly with stakeholders to understand data requirements and translate that to pipeline development / data solution work
• Strong analytical and problem-solving skills are crucial for identifying and resolving issues that may arise during the data integration and schema evolution process
• Ability to move at rapid pace with quality and start delivering with minimal ramp up time will be crucial to succeed in this initiative
• Effective communication and collaboration skills are necessary for working in a team environment and coordinating efforts between different stakeholders involved in the project
Nice to have:
• Experience building complex near real time (NRT) streaming data pipelines using Apache Kafka, Spark streaming, Kafka Connect with a strong focus on stability, scalability and SLA adherence.
• Good understanding of REST APIs - working knowledge on Apache Druid, Redis, Elastic search, GraphQL or similar technologies. Understanding of API contracts, building telemetry, stress testing etc.
• Exposure in developing reports/dashboards using Looker/Tableau
• Experience in eCommerce domain.
Tech stack: Google cloud, HDFS, SPARK, Scala, Python (optional), Automic/Airflow, BigQuery, Kafka, API, Druid