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Data Support Engineer Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

Support Engineer The Support Engineer provides comprehensive technical support to customers ... diagnostic data, and technical documentation. * Process service parts orders, quotations ...

Collaborate with engineering, publications, and cross-functional teams to ensure data integrity ... Support technical writers and artists in creating accurate maintenance manuals. * Participate in ...

Support Engineer Reports To: Director of Engineering Summary AxisCare is hiring a full-time, fully ... You don't stop at "I can't reproduce it." You dig through logs, trace the data, check the timeline ...

Support Engineer Reports To: Director of Engineering Summary AxisCare is hiring a full-time, fully ... You don't stop at "I can't reproduce it." You dig through logs, trace the data, check the timeline ...

Support Engineer Reports To: Director of Engineering Summary AxisCare is hiring a full-time, fully ... You don't stop at "I can't reproduce it." You dig through logs, trace the data, check the timeline ...

We are looking for an Entry-Level Support Engineer with 2-3 years of experience to support and ... Investigate data issues using SQL (joins, filtering, aggregations) to identify root causes

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

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

We are looking to hire a Support Engineer who will work in collaboration with our Business and ... Experience managing complex datasets, identifying trends within the data, and performing ...

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 ...

We are looking to hire a Support Engineer who will work in collaboration with our Business and ... Experience managing complex datasets, identifying trends within the data, and performing ...

Showing results 41-60

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 Sep 2, 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 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.

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.

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 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.

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:

Infographic showing various Data Support Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, and 4% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Customer Support Engineer

VAST Data

Manhattan, NY • On-site

Full-time

Re-posted 26 days ago


Job description

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 organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"VAST's data management vision is the future of the market." - Forbes
VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company's growth and at a pivotal point in computing history.
Summary
As a Customer Support Engineering team you will be regarded as a VAST Data technical expert and, as such, you will be involved in daily technical operations and escalations. You will be a part of VAST "Flight Crew" for our customers, working with a small team of other Support Engineers and Success Managers to handle all post-sales activity for the customer.
The main responsibilities include responding to customer issues (reactive and proactive), evaluating the problem, using hands-on-keyboard skills to solve for the issue, and escalating to engineering with as much detail as possible when you can't. You will also be involved in developing and testing and solutions in strategically and tactically significant applications and use cases, including file protocols, machine learning, object storage, and high-performance computing at customer sites and in the lab. You will work directly with customers, and various business functions: consulting pre-sales teams on technical sales activities, supporting Professional Services with onsite field activities and our engineering teams to solve technical problems.
The Role
  • Build trusted customer relationships based on your customer-first mindset, technical excellence and command of VAST product
  • Respond to technical support issues quickly, working hands-on-keyboard to solve or escalate the issues while being highly communicative
  • Complete daily technical operations as needed for the customers, working technical issues to full resolution and closure.
  • Perform and support field services for customers: installations, upgrades, break-fix and expansions as needed
  • Submit and manage Feature Requests and/or Bugs into product marketing and development teams.
  • Advocate for the priorities of your assigned accounts and continuously track and follow up on bugs, feature requests and escalations.
  • Identify opportunities to provide continuous improvement for customers to ensure full adoption and usage of VAST products.
  • Support and guide VAST data account teams on account technical status and activities.
  • Manage workload to balance meeting KPIs and VAST SLAs with ensuring customer happiness and satisfaction

Requirements
  • Overall 5+ years of experience in customer-facing, pre-sale/post-sale positions working with complex storage solutions.
  • Ability to manage own time and case load with rapidly changing priorities
  • Extensive knowledge and experience in the enterprise IT infrastructure, networking and storage space is required, along with a broad understanding of the enterprise software world.
  • Knowledge and working experience in common Linux system administration tasks and Linux OS in general.
  • Good understanding of networking, and working experience with network configurations on Linux and network troubleshooting
  • Scripting and programming - bash scripting is required; must be familiar with one or more other programming language
  • Significant experience required in the areas of file systems and scale-out NAS Implementation
  • An advantage to candidates that have In-depth knowledge and hands-on experience with S3 and high-performance computing.
  • Excellent business written and verbal communication and presentation skills.
  • An advantage to candidates that have hands-on lab and hardware management experience.
  • An advantage to candidates that have experience working in a rapidly growing entrepreneurial, dynamic start up.
  • MS or B.Sc. in CS, CE, EE or related fields.
  • Ability to travel. To be successful in this role, you will need to travel around 20% of the time.
  • Rotational weekend shift once every 8-12 weeks and occasional holiday coverage.