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Data Services Jobs (NOW HIRING)

Cloud Data Services Engineer

Tampa, FL · On-site

$52.75 - $70.50/hr

Cloud Data Service Engineer Job Location : Tampa FL, Remote options for ( Chicago, NYC ,CT ,Dallas, Nashville ) Duration : Permanent (Full-Time), Open for C2H The Client Solutions group reports to ...

Position Summary Work from home in TX or hybrid - Maintains the Provider Data (demographic and contractual) for all network and non-network providers. Ensures all provider information is accurately ...

New

About RWS Train AI Data Services Training or fine-tuning artificial intelligence (AI) requires data. LOTS of data. However, not just any data will do - our clients need responsible AI data that ...

About RWS Train AI Data Services Training or fine-tuning artificial intelligence (AI) requires data. LOTS of data. However, not just any data will do - our clients need responsible AI data that ...

Showing results 21-40

Data Services information

What are data services?

Data services refer to a range of solutions and processes that manage, process, store, and deliver data within an organization. These services can include data integration, data migration, data analytics, data storage, and data security. Data services help organizations ensure their data is accessible, reliable, and usable for decision-making and business operations. Professionals working in data services often support data quality, governance, and compliance initiatives.

What are the key skills and qualifications needed to thrive in a data services role?

A Data Services professional needs a solid background in data management, analytics, and database technologies, often supported by a degree in computer science or information systems. Familiarity with SQL, data integration tools, cloud platforms, and certifications like AWS Certified Data Analytics or Microsoft Certified: Data Analyst Associate are common requirements. Strong problem-solving, attention to detail, and effective communication skills help standout candidates efficiently interpret and share data insights. These competencies ensure data is accurate, accessible, and valuable for organizational decision-making.

What are some common challenges faced by professionals in data services roles, and how can they be addressed?

Professionals in Data Services often encounter challenges such as managing large volumes of data, ensuring data quality, and integrating data from multiple sources. Staying up-to-date with evolving technologies and best practices is essential to address these challenges. Collaboration with IT, analytics, and business teams is also key to ensuring data solutions meet organizational needs while maintaining data security and compliance standards. Proactively developing strong communication skills and a solid understanding of data governance can help you thrive in this dynamic environment.

What is the difference between Data Services vs Data Analysts?

AspectData ServicesData Analysts
CredentialsTypically requires certifications in data management, database systems, or related fieldsOften requires degrees or certifications in data analysis, statistics, or related areas
Work EnvironmentInvolves working with data infrastructure, databases, and data pipelinesFocuses on analyzing data sets, creating reports, and deriving insights
Employer & Industry UsageUsed across IT, finance, healthcare, and tech companies for data managementCommonly employed in business, marketing, finance, and research sectors for data interpretation

Data Services primarily focus on managing, maintaining, and supporting data infrastructure, while Data Analysts concentrate on analyzing data to generate insights. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

More about Data Services jobs

What cities are hiring for Data Services jobs?

Cities with the most Data Services job openings:

What are the most commonly searched types of Data Services jobs?

The most popular types of Data Services jobs are:

What states have the most Data Services jobs?

States with the most job openings for Data Services jobs include:

Infographic showing various Data Services job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Solution Specialist, Data Services

CoreWeave

San Francisco, CA • On-site

Full-time

Posted 9 days ago


CoreWeave rating

9.8

Company rating: 9.8 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 224 rated it services


Job description

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.
What You'll Do:

CoreWeave is constantly launching new services that change what customers can build on AI infrastructure, and the data layer is one of its most important new frontiers. As a Solution Specialist for Data Services, you are the person who opens that frontier. You identify new market opportunities where data architecture, mobility, and pipeline design unlock GPU adoption, and you drive the initial adoption of CoreWeave's newest data capabilities with the earliest customers across new industries. You turn what you learn in the field into direct input on the product roadmap, and you make the broader sales and solution architecture organization fluent in the value these new services create.

About the role:

As a Solution Specialist for Data Services, you operate at the leading edge of CoreWeave's go-to-market motion. Your job is not to run an established playbook; it is to create one. You take newly launched data services (high-throughput data movement, plus support for the databases, indexes, and data structures behind AI training, high-concurrency inference, and agentic workloads) into new accounts and new industries, prove their value with the first wave of customers, and establish the repeatable patterns that sales and solution architects use to scale adoption. Along the way you are the field's voice into engineering, translating what early customers need into the priorities that shape CoreWeave's data and storage roadmap.

In this role, you will:

  • Own the commercial and technical strategy for net new customer wins in data infrastructure, where storage architecture, data mobility, and pipeline design are the primary buying triggers.
  • Drive new business opportunities where data migration complexity, egress costs, or multi-cloud sprawl are the barrier to GPU adoption at scale.
  • Translate customer requirements around data lakes, vector databases, and high-speed storage tiers into specific product feedback that shapes CoreWeave's storage roadmap.
  • Develop deal structures, technical playbooks, and benchmark narratives that help sales and SA teams accelerate storage-heavy opportunities.
  • Engage directly with enterprise buyers as the authoritative voice on data gravity, multi-cloud networking, and the total cost of moving workloads to CoreWeave.
  • Design the commercial framework for multi-petabyte data pipeline deals, including egress cost modeling and GPU utilization commitments, to support large enterprise closings.
  • Partner with capacity and infrastructure teams to maintain a competitive edge on storage efficiency, performance, and security across active and prospective customer deployments.
Who You Are:
  • 10+ years of experience in distributed systems, storage engineering, or data architecture, with a track record of applying that expertise to drive customer outcomes and revenue.
  • 5+ years working with multi-cloud networking and data transfer protocols (S3, rsync, WAN optimization) in a customer-facing or deal-shaping capacity.
  • Deep working knowledge of storage technologies including NVMe-over-Fabric, POSIX filesystems, and object storage, with the ability to translate that into commercial differentiation.
  • Experience deploying and tuning large-scale database clusters (SQL, NoSQL, or Vector) and positioning that capability against customer migration and modernization requirements.
  • Strong understanding of BGP, peering, and high-speed data interconnects as they relate to data gravity, egress cost modeling, and enterprise deal structure.
  • Familiarity with Kubernetes-native storage orchestration (CSI drivers, persistent volumes) and how it impacts workload portability and platform stickiness.
Preferred:
  • Experience driving new business or shaping product strategy in industries with high-density compute and data needs, such as Financial Services, Biotech and Life Sciences, or Media and Entertainment.
  • Prior background in technical sales, solution consulting, or product management supporting large-scale enterprise data infrastructure decisions.
  • Deep understanding of multi-cloud networking architecture and secure data egress and ingress strategies, particularly where compliance and data residency requirements are active deal variables.
  • Advanced degree in Computer Science or Engineering, or equivalent experience with a demonstrated ability to operate at the intersection of technical architecture and commercial strategy.
Wondering if you're a good fit?

Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams, even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk.

  • You love translating boardroom goals into technical reality: you can explain high-level business strategy and low-level data architecture and storage tradeoffs in the same meeting.
  • You love acting as the bridge: between high-level sales strategy and deep storage and data-pipeline engineering.
  • You are an expert at navigating "The Room": you have a proven ability to manage complex, multi-stakeholder technical evaluations without losing momentum.
Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

  • Be Curious at Your Core
  • Act Like an Owner
  • Empower Employees
  • Deliver Best-in-Class Client Experiences
  • Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $207,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include:

  • Medical, dental, and vision insurance - 100% paid for by CoreWeave
  • Company-paid Life Insurance
  • Voluntary supplemental life insurance
  • Short and long-term disability insurance
  • Flexible Spending Account
  • Health Savings Account
  • Tuition Reimbursement
  • Ability to Participate in Employee Stock Purchase Program (ESPP)
  • Mental Wellness Benefits through Spring Health
  • Family-Forming support provided by Carrot
  • Paid Parental Leave
  • Flexible, full-service childcare support with Kinside
  • 401(k) with a generous employer match
  • Flexible PTO
  • Catered lunch each day in our office and data center locations
  • A casual work environment
  • A work culture focused on innovative disruption

California Applicants

California Consumer Privacy Act

Equal Opportunity & Accommodations

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.


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