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Data Support Engineer Jobs (NOW HIRING)

Deskside Support Engineer Job Overview Position: L2 Deskside Support Engineer Duration: 6 Months ... Prioritize and resolve issues impacting market data feeds, order execution, and pricing systems. 3. ...

Description SAIC is seeking qualified applicants to support a cutting-edge data, analytics, and AI ... Provide Subject Matter Expertise in data engineering, solution architecture, and data operations ...

Support Engineer

Roseville, CA ยท On-site

$24 - $30/hr

The Support Engineer bridges the gap between engineering, service, and customer experience ... Translate field data into actionable design or process improvements to enhance reliability and ...

Support Engineer

Los Gatos, CA ยท Remote

$110K - $150K/yr

Support Engineer Enterprise SaaS | ShipScience Remote (U.S.) | Reports to CTO | Full-time What this ... Data Analysis & Operational Insights * Leverage SQL, Omni, MotherDuck, Claude, and other internal ...

Support Engineer

Roseville, CA ยท On-site

$24 - $30/hr

The Support Engineer bridges the gap between engineering, service, and customer experience ... Translate field data into actionable design or process improvements to enhance reliability and ...

Apply Early

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 ...

AI Data Support Associate

San Diego, CA ยท On-site

$62K - $63K/yr

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

Support the Data Science team by diagnosing pipeline failures, data quality anomalies, Snowflake query issues, and LLM output regressions. Support the full-stack web engineering team by identifying ...

Support the Data Science team by diagnosing pipeline failures, data quality anomalies, Snowflake query issues, and LLM output regressions. Support the full-stack web engineering team by identifying ...

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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 1, 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:
Infographic showing various Data Support Engineer job openings in the United States as of June 2026, with employment types broken down into 55% Full Time, 43% Part Time, and 2% 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.
Deskside Support Engineer

Deskside Support Engineer

Aptlogix

Atlanta, GA โ€ข On-site

Full-time

Posted 9 days ago


Job description

Deskside Support Engineer Job Overview

Position: L2 Deskside Support Engineer

Duration: 6 Months+

Locations: Atlanta, GA | Chicago, IL | Boston, MA | New York City, NY | Princeton, NJ | San Francisco, CA

Eligibility: US Citizens only

Key Responsibilities1. Service Delivery & Field Service Operations

Provide dedicated on-site desktop support for front-office users, including portfolio managers, traders, research analysts, and sales teams.

Deliver desk-side support during market hours, ensuring minimal disruption to portfolio decisions and trade execution.

Support time-critical incidents aligned to market cycles.

Take end-to-end ownership of issues, ensuring rapid resolution in high-pressure, revenue-impacting situations.

Coordinate with cross-functional IT teams for priority issue resolution.

Provide IT support for back-office users and manage the new joiner onboarding process.

2. Front Office & VIP Support

Provide VIP/white-glove support to senior stakeholders, such as portfolio managers and fund managers.

Prioritize and resolve issues impacting market data feeds, order execution, and pricing systems.

3. ITSM Process Excellence

Manage incidents and service requests via tools such as ServiceNow or Jira with strict SLA (Service Level Agreement) adherence.

Ensure accurate ticket logging, precise categorization (e.g., market data, trading, access), and comprehensive resolution tracking.

Follow ITIL processes, focusing on incident prioritization aligned with investment business impact.

4. End-User Technology & Trading Floor Support

Install, configure, and troubleshoot Windows-based laptops used in trading and portfolio management environments.

Support multi-monitor configurations and high-performance trading workstations.

Support trading turrets/dealer boards, voice systems, and collaboration tools used for critical communication.

Manage mobile devices and secure endpoints used for remote portfolio access.

Provide support for VDI/Citrix or terminal environments used for secure access to investment platforms.

5. Investment Applications & Market Data Support

Provide basic L1 support for investment management applications like Bloomberg, Refinitiv (Reuters), FactSet, and Aladdin (or similar platforms).

Assist with Order Management Systems (OMS) and Execution Management Systems (EMS).

Support Microsoft 365 and related collaboration tools used for investment research and reporting.

6. Stakeholder & Relationship Management

Communicate clearly and effectively with front-office and other end users, maintaining perfect composure in high-pressure scenarios.

Provide real-time updates during critical incidents impacting portfolio or trading activities.

Build strong professional relationships with investment teams and operations stakeholders.

Ensure high user satisfaction through highly responsive and proactive support.

7. Continuous Improvement & Operational Efficiency

Identify opportunities to reduce repeat incidents impacting market data, trading, or reporting systems.

Improve first-time fix rates for front-office issues.

Maintain and actively contribute to existing team knowledge bases.

Support process optimization aligned directly to asset management workflows.

Required Skills & ExperienceProfessional Experience

4โ€“8 years in IT Desktop Support or Trade Floor Support specifically within Asset Management or Financial Services.

Direct experience supporting portfolio managers, traders, and research teams.

Proven exposure to market-sensitive, time-critical trading environments.

Technical Skills

Strong Windows desktop and endpoint support expertise.

Deep knowledge of multi-monitor and high-performance workstation setups.

Good to have: Hands-on knowledge of market data platforms (Bloomberg, Refinitiv, FactSet, etc.).

Familiarity with OMS/EMS and portfolio management tools (e.g., Aladdin).

Core infrastructure knowledge: Active Directory, VPN, Networking, and Citrix/VDI environments.

Process & Tools

Experience with ITSM tools such as ServiceNow, Jira, or equivalent platforms.

Ability to execute incident prioritization based on investment business impact.

Strong understanding of SLA-driven support in fast-paced financial environments.

Soft Skills

Strong stakeholder engagement and relationship-building capabilities.

Natural ability to operate effectively in high-pressure, market-driven environments.

Excellent problem-solving and immediate decision-making skills.

Clear, confident, and articulate communication under intense pressure.

High level of personal ownership, extreme attention to detail, and accountability.