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Big Data Support Engineer Jobs (NOW HIRING)

Smart Synergies

Big Data Engineer

Reston, VA · On-site

$58 - $76.75/hr

Position Summary The Big Data Engineer will design, develop, and maintain big data ecosystem to support advanced analytics and data-driven decision-making across engineering, procurement, and ...

Select Minds LLC

Big Data Engineer

Lansing, MI · On-site

$110K - $125K/yr

Opportunity for advancement Big Data Engineer Location: Chicago, IL (Day 1 Onsite) Hybrid Job Type ... Develop and support real-time data streaming solutions using Apache Kafka. * Monitor application ...

247Hire

Data Support Engineer

Chicago, IL · On-site

$118K - $141K/yr

... data engineers to ensure data reliability. Key Responsibilities * Incident & Problem Management: Provide L2/L3 support for data applications, resolving production issues and troubleshooting ...

Conflux Systems

Big Data Engineer

Charlotte, NC · On-site

$55/hr

Big Data, Hadoop, Python & Angular Job Summary We are seeking an experienced Big Data Engineer to join a high-performing team supporting enterprise-scale data initiatives for Wells Fargo through ...

Promachbuilt

Data Support Engineer

$117K - $140K/yr

The Data Support Engineer is responsible for providing Tier 1 support for the enterprise data platform while developing foundational data engineering skills. This role serves as the first point of ...

Vitol

Data Support Engineer

Houston, TX

$109K - $131K/yr

This Role is located in Houston, TX - In office 5x a week We are seeking a proactive and detail-oriented Data Support Engineer to join our dynamic Vision Data Engineering team in Houston, supporting ...

Vitol

Data Support Engineer

Houston, TX · On-site

$109K - $131K/yr

This Role is located in Houston, TX - In office 5x a week We are seeking a proactive and detail-oriented Data Support Engineer to join our dynamic Vision Data Engineering team in Houston, supporting ...

Select Minds LLC

Big Data Engineer

Lansing, MI · On-site

$110K - $125K/yr

Opportunity for advancement Big Data Engineer Location: Chicago, IL (Day 1 Onsite) Hybrid Job Type ... Develop and support real-time data streaming solutions using Apache Kafka. * Monitor application ...

Syntricate Technologies

Big data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Syntricate Technologies is seeking a Big Data Engineer to join their team. The role involves working with big data technologies and cloud data warehouses to design and develop data solutions.

Cymertek Corporation

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 ...

CYNET SYSTEMS

Big Data Engineer

Reston, VA · On-site

$51 - $66/hr

... Data Engineering, or related field. * 3-5+ years of experience in big data engineering roles ... Support automation and advanced analytics initiatives across projects. * Provide technical guidance ...

Wise Skulls

Big Data Engineer

Dallas, TX · On-site

$51.50 - $68/hr

Mentor, guide, and support other data engineers through code reviews, design reviews, technical ... Big Data / Hadoop ecosystem (Hadoop, Hive, Impala, HDFS) - deep, hands-on experience in on-premises ...

Cymertek Corporation

Big Data Engineer

San Antonio, TX · On-site

$50.25 - $66.50/hr

Cymertek Corporation is seeking a skilled and motivated Big Data Engineer to join their team ... In this role, you will design, develop, and maintain data pipelines to support business ...

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Big Data Support Engineer information

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

As of Sep 10, 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.

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Big Data Support Engineer jobs near you
Infographic showing various Big Data Support Engineer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, and 4% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

Big Data Support Engineer Lead - Vice President

Irving, TX • On-site

Citigroup, Inc.
Banking and Credit Intermediation • 5 - 10K employees
Learn more about Citigroup, Inc.external

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Citibank rating

8.4

Company rating: 8.4 out of 10

Based on 179 frontline employees who took The Breakroom Quiz

39th of 176 rated banks

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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About Citigroup Inc

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We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US

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