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Big Data Support Engineer Jobs (NOW HIRING)

Big Data Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Big Data Engineer City :Tampa State :FL : TOP REQUIREMENTS: Big Data (Spark, Scala, Hive, Hadoop ... Building and supporting a cloud based analytical platform for complex data systems. * Document ...

Big Data Engineer

Aurora, CO · On-site

$56.75 - $75.25/hr

Big Data Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position ... support business intelligence and analytics needs. You will work closely with cross-functional ...

Big Data Engineer

Annapolis Junction, MD · On-site

$57 - $75.25/hr

Big Data Engineer LOCATION Annapolis Junction, MD 20701 CLEARANCE TS/SCI Full Poly (Please note ... support business intelligence and analytics needs. You will work closely with cross-functional ...

Big Data Engineer

Honolulu, HI · On-site

$55 - $73/hr

Big Data Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this position ... support business intelligence and analytics needs. You will work closely with cross-functional ...

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 ...

Big Data Engineer

Tysons, VA · On-site

$56 - $74/hr

Big Data Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position ... support business intelligence and analytics needs. You will work closely with cross-functional ...

Big Data Engineer

Reston, VA · On-site

$58 - $76.75/hr

Big Data Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position ... support business intelligence and analytics needs. You will work closely with cross-functional ...

Big Data Developer

Rockville, MD · On-site

$54 - $70/hr

Big Data Developer Location: Rockville, MD or Tysons Corner, VA Work Setting: Onsite We are seeking ... Experience building and supporting large-scale ETL/Data Pipelines * AWS Services: S3, EMR, Glue ...

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 ...

Big Data Developer

Atlanta, GA · On-site

$51 - $66/hr

Big Data Developer Location: Georgia (GA) Work Authorization: Only USC / GC Experience: 8+ Years ... Support production deployments, troubleshooting, and performance tuning . * Follow best practices ...

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Big Data Engineer Location : Phoenix , AZ / Raleigh , NC / Tampa , FL 6 to 12 months AWS experience should have EMR Lambda, S3 and EC2 Should be strong hands-on experience in Big Data Technologies.

Senior Big Data Engineer

Duluth, GA · On-site

$51.25 - $68/hr

Design, development, and support delivery of solutions on Hadoop and Aster Big Data platforms. Work ... Big Data Engineer / Big Data Consultant / Big data Developer PREFERRED QUALIFICATIONS: Teradata ...

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Company Description Big Data Engineer Location : Phoenix , AZ / Raleigh , NC / Tampa , FL 6 to 12 months AWS experience should have EMR Lambda, S3 and EC2 Should be strong hands-on experience in Big ...

Big Data Engineer

Chicago, IL · On-site

$57.50 - $76/hr

Our client, a premier investment bank, is looking for a Big Data Engineer to join their growing ... It is estimated each support analyst spends about an hour every day answering client's questions.

Big Data Engineer

Chicago, IL · On-site

$57.50 - $76/hr

Our client, a premier investment bank, is looking for a Big Data Engineer to join their growing ... It is estimated each support analyst spends about an hour every day answering client's questions.

Big Data Engineer

Chicago, IL · On-site

$57.50 - $76/hr

Our client, a premier investment bank, is looking for a Big Data Engineer to join their growing ... It is estimated each support analyst spends about an hour every day answering client's questions.

Big Data Engineer

Arlington, VA · On-site

$64.25 - $84.75/hr

Big Data, Strategy and Business Architecture, Systems Engineering, Enterprise cloud services and solutions, PMO services, Innovation, R&D, Business Process and Improvements, and Software Engineering.

Showing results 21-40

Big Data Support Engineer information

See salary details

$15

$62

$88

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

As of Aug 21, 2026, the average hourly pay for big data support engineer in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.

What is a big data support engineer?

A Big Data Support Engineer is an IT professional responsible for maintaining, troubleshooting, and optimizing big data systems and platforms. They help ensure that data pipelines, storage solutions, and analytics tools run smoothly and efficiently, often working with technologies like Hadoop, Spark, and cloud-based data services. Their role involves resolving technical issues, monitoring system performance, managing data security, and collaborating with data engineers and analysts to support business operations. These engineers also document processes and provide technical support to users leveraging big data platforms. Overall, they play a crucial role in enabling organizations to manage and utilize large volumes of data effectively.

How does a big data support engineer typically interact with development and operations teams to resolve issues?

A Big Data Support Engineer regularly collaborates with both development and operations teams to troubleshoot and resolve data pipeline, cluster, or performance issues. They often serve as a bridge, translating operational alerts and technical problems into actionable insights for developers, while also ensuring that solutions adhere to infrastructure and security best practices. This cross-functional teamwork often involves participating in incident response meetings, root cause analyses, and implementing long-term fixes, making strong communication and problem-solving skills essential for success in this role.

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

To thrive as a Big Data Support Engineer, you need expertise in data analysis, database management, troubleshooting, and strong knowledge of big data frameworks, usually backed by a degree in computer science or a related field. Familiarity with Hadoop, Spark, SQL, cloud platforms, and relevant certifications (like Cloudera or AWS) is typically required. Excellent problem-solving abilities, communication skills, and the capacity to work under pressure help you excel in supporting complex big data environments. These skills ensure efficient resolution of technical issues, minimize downtime, and maintain the performance and reliability of critical data systems.

What is the difference between Big Data Support Engineer vs Data Engineer?

AspectBig Data Support EngineerData Engineer
Primary FocusMaintaining and troubleshooting big data systems and infrastructureDesigning, building, and optimizing data pipelines and architectures
Skills & CertificationsKnowledge of Hadoop, Spark, Linux, scripting; certifications like Cloudera or HortonworksProficiency in SQL, Python, ETL tools; certifications in cloud platforms or data engineering
Work EnvironmentSupport teams, data centers, cloud environmentsDevelopment teams, data warehouses, cloud platforms

While both roles work with big data technologies, a Big Data Support Engineer primarily focuses on maintaining and troubleshooting existing systems, whereas a Data Engineer designs and builds data pipelines and architectures. The roles often overlap but differ in their core responsibilities and skill sets.

More about Big Data Support Engineer jobs

What cities are hiring for Big Data Support Engineer jobs?

Cities with the most Big Data Support Engineer job openings:

What states have the most Big Data Support Engineer jobs?

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

Infographic showing various Big Data Support Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, and 5% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

$52.75 - $69.75/hr

Full-time

Re-posted 3 days ago


Job description

Big Data Engineer
City :Tampa
State :FL
Job Description :
TOP REQUIREMENTS:
Big Data (Spark, Scala, Hive, Hadoop Ecosystem)
Data Streaming (Kafka)
Responsibilities
  • Building and supporting a cloud based analytical platform for complex data systems.
  • Document technical applications, specifications, and enhancements.
  • Collaborate with business and technical stakeholders while defining solutions.
  • Collaborate with the data scientists to organize huge sets of data for data modeling.
  • Recommend ways to improve data reliability, quality and efficiency.
  • Lead engineers in making sound, sustainable, and practical technical decisions.
  • Foster high-performance, collaborative technical work resulting in high-quality output.
  • Compile and present key findings and reports to all levels of the organization, including senior leadership.

What skills/attributes are a must have?
  • 5+ years of experience with Big Data (HDFS, MapReduce, Hive, HBase, Pig, Sqoop, Spark, Scala).
  • Experience building and optimizing data pipelines, architectures and data sets.
  • Experience with data modelling, data management and ETL tools like Kafka Connect, Informatica etc.
  • Experience building and deploying applications to the cloud (AWS, Azure, etc.).
  • Experience working in an Agile environment.
  • Expertise with modern programming languages, systems, and architectures.

What skills/attributes are nice to have?
  • BA/BS degree in Computer Science or equivalent experience.
  • Experience with the use of containers such as Kubernetes and Docker.
  • Experience with DevOps, Continuous Integration, and Continuous Delivery.
  • Expertise in performance and scalability optimization.
  • Knowledge of software and infrastructure security practices.