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Data Support Engineer Jobs (NOW HIRING)

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 ...

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 ...

Bank of America

Data Support Manager

Charlotte, NC · On-site

Bank of America is committed to an in-office culture that supports collaboration, engagement, and ... Bachelor's degree in computer science / engineering, Data Science or Analytics and 6+ years of ...

Honeywell

Energy Analyst (Data Support)

Raleigh, NC

$72K - $95K/yr

Support the development and review of all program data for integrity and align IT strategy to ... AAS or higher in Engineering, Computer Science or related discipline. * Knowledge of relational ...

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All JobsData Support Engineer Jobs

Data Support Engineer information

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$44.5K

$129.7K

$177.5K

How much do data support engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data support engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data support engineer?

To thrive as a Data Support Engineer, you need a solid background in database management, SQL, data analysis, and troubleshooting, often supported by a degree in computer science or a related field. Familiarity with database systems (like MySQL, PostgreSQL, or Oracle), data analytics tools, and ticketing or monitoring platforms is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in responding to user issues and collaborating with technical teams. These skills ensure timely resolution of data-related problems and contribute to the reliability and efficiency of organizational data systems.

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

AspectData Support EngineerData Analyst
Required CredentialsBachelor's in CS, IT, or related field; certifications like Microsoft Certified Data AnalystBachelor's in Statistics, Math, or related; often certifications like Microsoft Data Analyst Associate
Work EnvironmentTechnical support teams, data infrastructure, troubleshooting data systemsData visualization, reporting, data interpretation in business settings
Employer & Industry UsageTech companies, data-driven organizations, IT departmentsMarketing, finance, healthcare, consulting firms

While both roles involve working with data, Data Support Engineers focus on maintaining and troubleshooting data systems and infrastructure, ensuring data availability and integrity. Data Analysts primarily interpret data to generate insights and support decision-making. The roles often overlap in technical skills but differ in their core responsibilities and focus areas.

How do data support engineers typically collaborate with data analysts and software developers to resolve technical issues?

Data Support Engineers often act as a bridge between technical teams, such as data analysts and software developers, to troubleshoot and resolve data-related issues. They work closely with analysts to understand data discrepancies, validate data pipelines, and ensure data integrity. Simultaneously, they collaborate with developers to address bugs in data infrastructure or optimize system performance, frequently participating in cross-functional meetings or ticketing workflows. This collaborative environment not only helps them resolve issues efficiently but also offers continuous learning through exposure to a variety of technical challenges.

What is a data support engineer?

Data Support Engineers are technical professionals who specialize in maintaining, troubleshooting, and optimizing data systems and infrastructure. They work to ensure data pipelines, databases, and related tools function smoothly, assisting both internal teams and clients with data issues. Their responsibilities often include monitoring data flows, resolving system errors, and collaborating with data engineers or analysts to implement improvements. Data Support Engineers play a critical role in maintaining data quality and availability in organizations that rely heavily on data-driven processes.
More about Data Support Engineer jobs
What states have the most Data Support Engineer jobs? States with the most job openings for Data Support Engineer jobs include:
What job categories do people searching Data Support Engineer jobs look for? The top searched job categories for Data Support Engineer jobs are:
Data Support Engineer jobs near you
Infographic showing various Data Support Engineer job openings in the United States as of August 2026, with employment types broken down into 79% Full Time, 4% Part Time, and 17% Contract. Highlights an 74% In-person, 13% Hybrid, and 13% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Support Engineer

Vitol

Houston, TX • On-site

$109K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Company Description
Vitol is a leader in energy and commodities. Vitol produces, manages and delivers energy and commodities to consumers and industry worldwide. In addition to its primary business of trading, Vitol is invested in infrastructure globally, with $10+billion invested in long-term assets.
Vitol's customers include national oil companies, multinationals, leading industrial companies and utilities. Founded in Rotterdam in 1966, today Vitol serves its customers from some 40 offices worldwide. Revenues in 2024 were $331bn.
Our people are our business. Talent is precious to us and we create an environment in which individuals can reach their full potential, unhindered by hierarchy. Our team comprises more than 65+ nationalities and we are committed to developing and sustaining a diverse work force. Learn more about us here.
This Role is located in Houston, TX - In office 5x a week
Job Description
We are seeking a proactive and detail-oriented Data Support Engineer to join our dynamic Vision Data Engineering team in Houston, supporting mission-critical data pipelines in a fast-paced energy trading environment. As part of a global support team, you will provide Level 1 (L1) and Level 2 (L2) support, ensuring high availability, reliability, and performance of our data platforms. You will collaborate closely with application development teams, and business users across multiple regions to resolve and document incidents, manage service requests, and drive continuous improvement in support processes.
This role offers the opportunity to work in a collaborative, global environment at the intersection of technology and energy trading, with significant exposure to business operations and the latest data platform technologies.
Key Responsibilities:
  • Provide L1 and L2 support for data pipelines, including incident triage, troubleshooting, and resolution.
  • Monitor data pipeline health, performance, and data flows using monitoring tools and dashboards.
  • Respond to and resolve user queries, issues, and service requests in a timely manner, maintaining high customer satisfaction.
  • Escalate complex issues to L3 support or development teams, ensuring clear documentation and communication.
  • Perform routine operational tasks such as data monitor digest failure notifications, vendor credentials management, batch job monitoring, and data integrity checks.
  • Collaborate with business users to understand requirements and provide guidance on data related functionality and best practices.
  • Maintain and update support documentation, knowledge bases, and runbooks.
  • Identify recurring issues and contribute to root cause analysis and problem management.
  • Support incident and change management processes in line with best practices.
  • Participate in an on-call rotation and provide after-hours support as required.

Qualifications
Required:
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field (or equivalent experience).
  • 3+ years of experience in application support, preferably within the energy trading, financial services, or data-intensive industries.
  • Strong understanding of L1/L2 support processes, incident management, and service desk operations.
  • Experience supporting data flows & processes (e.g., data warehouses, ETL pipelines, reporting tools, or real-time data feeds).
  • Ability to understand basic Python code and write scripts to automate data quality checks.
  • Proficiency with SQL for data investigation and troubleshooting.
  • Familiarity with Linux/Unix and Windows operating systems.
  • Experience with monitoring tools such as Datadog, Splunk, Grafana, AppDynamics, or similar.
  • Strong analytical and problem-solving skills, with the ability to work under pressure and prioritize effectively.
  • Excellent communication skills, both written and verbal, with the ability to interact with technical and non-technical stakeholders.
  • Customer-focused mindset with a commitment to delivering high-quality support.
  • Ability to work effectively as part of a distributed, worldwide team.

Preferred:
  • Experience in the energy trading sector or with trading platforms.
  • Experience working with AI agents
  • Familiarity with scripting languages (e.g., Python, Shell, PowerShell) for automation and troubleshooting.
  • Exposure to cloud platforms (e.g., AWS, Azure) and data platform services.
  • Experience with ticketing systems (e.g., ServiceNow, Jira Service Desk).

Additional Information
Comprehensive benefit coverage includes:
  • Medical
  • Dental
  • Vision
  • Paid Vacation
  • 401k with company contributions
  • Life insurance
  • Short-term & Long-term disability

All your information will be kept confidential according to EEO guidelines.

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