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Data Support Engineer Jobs (NOW HIRING)

Anthropic

Support Engineer

San Francisco, CA · On-site

$210K - $250K/yr

As a Support Engineer, you'll be providing high-touch, deeply contextual support to a defined book ... SQL proficiency for querying logs and usage data to investigate issues * Comfort with command line ...

VAST Data

Customer Support Engineer

San Francisco, CA · On-site

Description VAST Data is looking for a Customer Support Engineer to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an ...

VAST Data

Customer Support Engineer

Manhattan, NY · On-site

Description VAST Data is looking for a Customer Support Engineer to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an ...

VAST Data

Customer Support Engineer

New York, NY · On-site

Description VAST Data is looking for a Customer Support Engineer to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an ...

Apple

Support Engineer

Austin, TX · On-site

This role spans the full DI tech stack, supporting data science and AI insights workflows, full-stack web engineering, and the triage and escalation pipelines that keep our systems reliable and our ...

VAST Data

Customer Support Engineer

San Jose, CA · On-site

Description VAST Data is looking for a Customer Support Engineer to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an ...

Fable

Support Engineer

San Francisco, CA · On-site

$120K - $160K/yr

The Role As Fable's first Support Engineer, you will own the end-to-end technical support ... Support customers with API integrations, SSO/SAML setup, data ingestion pipelines, and security ...

AmNet Services, Inc.

Our founders are hardcore telecommunications engineers with combined 200 + years of experience in ... We specialize in design, deployment, optimization, and support of these Networks. Whether an off ...

Wondfo USA

AI Data Support Associate

San Diego, CA · On-site

Salary: $22-$25 Position Summary We are seeking a motivated AI Data Support Associate to assist ... Bachelors degree in Computer Science, Data Science, Information Systems, Software Engineering, or a ...

Wondfo

AI Data Support Associate

San Diego, CA

$62K - $63K/yr

Position Summary We are seeking a motivated AI Data Support Associate to assist with data review ... Bachelor's degree in Computer Science, Data Science, Information Systems, Software Engineering, or ...

VibeIQ Inc.

Support Engineer

Boston, MA · On-site

As a Support Engineer, you'll be an important part of our Customer Success team, and more ... Diagnose and troubleshoot issues across VibeIQ's platform related to user workflows, product data ...

VibeIQ

Support Engineer

Boston, MA · On-site

As a Support Engineer, you'll be an important part of our Customer Success team, and more ... Diagnose and troubleshoot issues across VibeIQ's platform related to user workflows, product data ...

The Trade Desk

Support Engineer

Irvine, CA

Are you interested in working with big data? Do you want to push the edges of scale and responsiveness? It does not get much bigger or faster than this ! We are looking to hire a Support Engineer who ...

Snap-on Inc

Support Engineer

Kenosha, WI

Investigate data issues using SQL (joins, filtering, aggregations) to identify root causes ... Strong collaboration across engineering, product, and support teams Employment Type: FULL_TIME

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All JobsData Support Engineer Jobs

Data Support Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do data support engineer jobs pay per year?

As of Jul 22, 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, and why are they important?

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 are Data Support Engineers?

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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Strategic Transformation, Data Support - Associate

Strategic Transformation, Data Support - Associate

iCapital

Salt Lake City, UT • On-site

$70K - $85K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Job description

About the Role
iCapital is seeking a detail-oriented and technically capable Analyst or Associate to join Strategic Transformation team. This individual will own root-cause investigations of production data issues, contribute to ETL pipeline development, and act as the primary liaison between Fund Finance operations and engineering. This role will help define requirements, drive data quality initiatives, and build the tooling and dashboards that give stakeholders real-time visibility into exceptions and resolution status.
The Strategic Transformation Data team is an embedded data function within Fund Finance at iCapital. This team partners directly with Fund Operations, Technology, and Product teams to resolve data quality issues, build ETL pipelines, and deliver automation tooling that enables the business to scale. The team sits at the intersection of data engineering, business analysis, and operational transformation.
Responsibilities
  • Perform root-cause analysis of production data issues using SQL, working cross-functionally with engineering and operations teams to drive resolution.
  • Support and contribute to ETL pipeline development, collaborating closely with Product managers and engineers throughout the development lifecycle.
  • Serve as the primary liaison between fund administrators, business groups, and technology teams to manage and resolve data exceptions and discrepancies.
  • Collaborate with Product Managers to define, scope, and implement data projects for existing workflows and new product features.
  • Develop exception management tooling to strengthen data quality controls and produce metrics and dashboards that help stakeholders prioritize issue resolution.
  • Define clear business and technical requirement documents for engineering teams addressing new features or existing issues.
  • Build an in-depth understanding of end-to-end organizational data flows and their downstream impact on Fund Finance business processes.
  • Write test cases and perform UAT to ensure issues are identified and addressed before production deployment.
  • Identify and contribute to automation initiatives that reduce manual intervention in recurring data workflows, including reconciliation, ingestion monitoring, and exception handling.
  • Formalize operational knowledge into structured documentation, enabling the team to scale independently of individual expertise.

Qualifications
  • 2+ years of experience in a business analyst, data support, or application support role within financial services
  • Bachelor's degree or higher in computer science, business analytics, business administration, finance, or a related field
  • Proficiency in SQL for data analysis, investigation, and root-cause diagnostics
  • Proven ability to perform structured root-cause analysis and coordinate with engineers through investigation and resolution
  • Strong analytical and problem-solving skills, with the ability to translate complex data issues into clear business language
  • Excellent communication and stakeholder management skills and comfortable working across technical and non-technical audiences
  • Experience with private equity, hedge fund, or alternative investment operations and data
  • Familiar with ETL pipeline concepts, data ingestion patterns, or workflow automation
  • Experience writing Jira tickets or structured requirement documents for engineering teams
  • Exposure to AI-assisted tooling or automation frameworks and Python are a plus

Benefits
The base salary range for this role is $70,000 to $85,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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