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Big Data Support Engineer Jobs (NOW HIRING)

The Consortium, Inc.

Senior Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

We have an exciting opportunity for a Big Data Engineer with our client in Rockville ... Support engineering efforts throughout SDLC * Work effectively in small agile teams * Provide ...

Prophecy Technologies

GCP Big Data Engineer

Basking Ridge, NJ · On-site

$57.50 - $76/hr

* CDL Support Engineer * Linux expertise * Strong Shell scripting skills * Experience with Hive ... Strong experience with AWS big data services such as EMR, Redshift, Glue, Lambda, Athena, and S3 ...

Software Guidance & Assistance

Big Data Engineer

Rockville, MD · Hybrid

$56.75 - $75.25/hr

This position is for a mid-level support engineer that will provide primarily support of Big data operations in AWS for Market Regulation. Supported platforms include AWS Services, UNIX, Windows, SQL ...

Purple Drive Technologies

Big Data Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Big Data Engineer Location: Atlanta, GA / Tampa, FL/ Dallas, TX Job Summary We are seeking an experienced Big Data Engineer to design, build, and optimize large-scale data pipelines and distributed ...

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 ... development and support duties. Skills and Experience: Required: * 8+ years of overall IT ...

Cymertek

Big Data Engineer

San Antonio, TX · On-site

$50.75 - $67/hr

Big Data Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this ... support business intelligence and analytics needs. You will work closely with cross-functional ...

Cymertek

Big Data Engineer

Reston, VA · On-site

$58 - $76.75/hr

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

Cymertek

Big Data Engineer

Honolulu, HI

$55 - $73/hr

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

Cymertek

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 ...

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

As of May 31, 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 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.

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 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.

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:
What job categories do people searching Big Data Support Engineer jobs look for? The top searched job categories for Big Data Support Engineer jobs are:
Big Data Support Engineer jobs near you
Infographic showing various Big Data Support Engineer job openings in the United States as of May 2026, with employment types broken down into 55% Full Time, and 45% Contract. Highlights an 78% Physical, and 22% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.
Big Data Support Engineer Lead - Vice President

Big Data Support Engineer Lead - Vice President

Citigroup, Inc.

Irving, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Job description

The Big Data Support Engineer Lead is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.
Responsibilities:
  • Has a strong understanding and experience in leading all aspects of Incident Management, Problem Management, Service Improvements, Monitoring and Observability instrumentation, SRE(Site Reliability engineering) Frameworks and adoption, Disaster recovery and resiliency, and automation of production services.
  • Leads the production monitoring, Implementation of Observability using AppD, Splunk, Grafana & strong knowledge of monitoring tools used in the industry.
  • Collaborates with development team, Architecture teams and Infrastructure teams and leads service improvement plans.
  • Supports the delivery of the L2 Service Delivery and SRE (Site reliability engineering) objectives for the business/region.
  • Leads the team and contributes towards achievement of service performance against targets for the organization.
  • Strong bias towards automation and using SRE Framework.
  • Responsible for execution of day-to-day service delivery functions including the following:
    • Incident Management: Performs incident triage, root cause analysis, and collect and validate business impact.
    • Service Management: Collaborates with Technology Organization and manages service risk/maturity assessments and drives the Service Improvement Plans.
    • Knowledge Management: Develops/tests knowledge objects to support increased L0, L1, and L2 resolution.
    • Change Management: Review and approve changes.
    • Capacity Management: Review capacity across service components.
    • Continuity Management: Schedule and facilitate COB testing, maintain recovery plans.
    • Configuration Management: Build/update service configuration.
    • Third Party Asset Management: Manage 3rd party asset management (licensing compliance/optimization)
    • Service Readiness: This activity encompasses review of major releases & new application install from very early stage of the project/program, to ensure Risks are documented and remediated before production Go Live.
    • Service Risks: Ability to identify, document and Manage Service Risks within Applications and effectively manage the resolutions of Risks.
    • Monitoring: Collaborate and engage with various teams to enable monitoring / observability of production services.

Qualifications
  • At least 10+ years of hands on Overall IT experience of which 2 or more years in one or more of the Cloud technologies running services on Open Shift, AWS or Google Cloud.
  • Has a good understanding of Data Engineering function and Role and tools and technologies used in one or more technologies including Ab Initio, Big Data, Master Data Management (MDM) and Hybrid cloud.
  • Strong knowledge of using CICD tools for automated code deployments.
  • Strong knowledge of SOAP Rest API's and Micro services.
  • Knowledge of creating Observability Dashboards using Splunk, App Dynamics, ELK and Grafana.
  • Working knowledge of Ansible scripts for Automation.
  • Track record of successfully triaging issues and driving them to resolution.
  • Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
  • Expectation for the role is to be available "on call" or "shift basis" for off hours Production support.
  • Can handle multiple, competing priorities simultaneously
  • Ability to work with Offshore and Onsite Production Support Teams across multiple organizations.
  • Excellent Oral and Written Communication Skills.
  • Good knowledge of Disaster Recovery process across Data centers.
  • Strong analytical skills, strong problem-solving skills and ability to logically break down tasks into smaller manageable parts.
  • Strong individual with the ability to communicate and negotiate at all levels and ability to influence people.
  • Effective meeting management, team management and organizational skills.
  • Effective Presentation skills and creating Visual Presentations using Microsoft PowerPoint.
  • Ability to interact with individuals at all organizational levels.

Education & Other qualifications:
  • Bachelor's or Master's degree in engineering or computer science.
  • Prior experience in financial services preferred.
  • Prior experience in applications development preferred.
  • Prior Experience in Data Warehouse and Business Intelligence Applications.

Job Family Group:
Technology
Job Family:
Applications Support
Time Type:
Full time
Primary Location:
Irving Texas United States
Primary Location Full Time Salary Range:
$125 760,00 - $188 640,00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
dic 23, 2025
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

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