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Intern Data Solutions Engineer Jobs (NOW HIRING)

Standard Metrics

Data Solutions Engineer

$117K - $140K/yr

Come Build With Us The Data Solutions Engineer sits at the intersection of Customer Experience and Engineering at Standard Metrics. You'll be the dedicated technical owner for customer-facing data ...

BakerHostetler

Data Solutions Engineer

Cleveland, OH · On-site

$110K - $133K/yr

Join our team as a Data Solutions Engineer, where you will play a key role in designing and developing enterprise data solutions. This role works across the data lifecycle, including data analysis ...

Epsilon

Data Solutions Engineer

Chicago, IL

$118K - $141K/yr

Working closely with Engineering and Business resources across the globe to ensure delivery of efficient cost effective solutions to business needs are met * Design and implement scalable data ...

Govwell

Data Solutions Engineer

New York, NY · On-site

$130K - $240K/yr

As a Data Solutions Engineer, you own that moment. You'll take whatever a city hands you - messy exports, inconsistent codes, half-mapped schemas, geospatial data of questionable quality - and turn ...

Adobe

AEP Lead Data Solutions Engineer

San Jose, CA · On-site

$134K - $161K/yr

They are seeking an AEP Lead Data Solutions Engineer to collaborate within the Adobe Experience Platform suite, focusing on building scalable data solutions and ensuring data accuracy for impactful ...

GovWell Technologies Inc.

Data Solutions Engineer

Manhattan, NY · On-site

$126K - $151K/yr

As a Data Solutions Engineer, you own that moment. You'll take whatever a city hands you -- messy exports, inconsistent codes, half-mapped schemas, geospatial data of questionable quality -- and turn ...

GovWell Technologies Inc.

$84K - $101K/yr

As a Data Solutions Engineer, you own that moment. You'll take whatever a city hands you -- messy exports, inconsistent codes, half-mapped schemas, geospatial data of questionable quality -- and turn ...

Adobe, Inc.

AEP Lead Data Solutions Engineer

San Jose, CA · On-site

$134K - $161K/yr

Serve as lead data solutions engineer and architect new data solutions on the AEP platform, including core datasets leveraged by hundreds of users * Build, develop, and maintain scalable data ...

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Intern Data Solutions Engineer information

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How much do intern data solutions engineer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for intern data solutions engineer in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Intern Data Solutions Engineer vs Data Analyst?

AspectIntern Data Solutions EngineerData Analyst
Required CredentialsEnrolled in or recent graduate of Computer Science, Data Science, or related fieldsDegree in Statistics, Mathematics, or related fields
Work EnvironmentSupport data engineering teams, assist with data pipeline developmentAnalyze data sets, generate reports, and provide insights
Employer & Industry UsageTech companies, startups, and data-driven organizationsBusiness, finance, marketing, and healthcare sectors

While both roles involve working with data, an Intern Data Solutions Engineer focuses on supporting data infrastructure and pipelines, often requiring technical skills in data engineering. A Data Analyst primarily interprets data to generate insights and reports, emphasizing analytical skills. The internship provides hands-on experience in data engineering tasks, whereas a Data Analyst role centers on data interpretation and visualization.

What cities are hiring for Intern Data Solutions Engineer jobs?

Cities with the most Intern Data Solutions Engineer job openings:

What are the most commonly searched types of Data Solutions Engineer jobs?

The most popular types of Data Solutions Engineer jobs are:

What states have the most Intern Data Solutions Engineer jobs?

States with the most job openings for Intern Data Solutions Engineer jobs include:

Intern Data Solutions Engineer jobs near you

Data Solutions Engineer

Remote

Standard Metrics
Internet and IT • 11 - 50 employees
Learn more about Standard Metricsexternal

$117K - $140K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 5 days ago

Job description

Standard Metrics is an AI-driven financial data platform that helps investors and their portfolio companies make more informed, forward-looking decisions with automated reporting and benchmarking tools. We're a team of optimistic product builders on a mission to accelerate innovation in the private markets. Standard Metrics is backed by 8VC and Spark Capital, along with other leading VCs and angels, and is currently a trusted partner for many of the top VC/PE firms in the world.
Come Build With Us
The Data Solutions Engineer sits at the intersection of Customer Experience and Engineering at Standard Metrics. You'll be the dedicated technical owner for customer-facing data workflows, integrations, and AI-driven automation, while working across a book of customers to understand their data problems and build solutions that make Standard Metrics stickier and more impactful in their day-to-day workflows.
This is not a pure engineering role, and it's not a pure customer-facing role. You'll need both the technical depth to architect and execute solutions across APIs, SQL, data pipelines, and AI tooling, as well as the communication skills to work directly with customers to diagnose needs, set expectations, and deliver results. You'll be deeply embedded with our Data Solutions and Customer Success teams, acting as a technical extension of the customer.
This role is a foundational hire for a nascent services function at Standard Metrics. There's no established playbook here - you'll help write it. If you're energized by ambiguity, by the prospect of defining what "technical services" looks like for a product like ours, and by building something that didn't exist before, this is that opportunity.
What You'll Do
  • Partner directly with customers to identify data challenges and design technical solutions - connecting data sources, configuring integrations, automating recurring workflows, and deploying custom reports
  • Deploy and optimize AI-powered tools and workflows for customers; educate customers and internal teams on prompt engineering, LLM capabilities, and best practices for leveraging AI in their data operations
  • Build and extend internal tooling (importers, parsers, and reporting pipelines) to reduce manual burden on the Customer Experience team and improve platform reliability
  • Execute bespoke data operations such as custom SQL reports, bulk data operations, and backend queries for customers with unique data needs
  • Own API schemas, ingestion cadence, error handling, Snowflake data shares, and database connections
  • Identify repeatable patterns across customers and translate them into product requirements, filing tickets and partnering with Engineering to productize solutions
  • Support internal engineering workflows as a secondary function by helping to triage and resolve quality-of-life bugs and enhancements that are too small for core Engineering but directly impact the Customer Experience team and customers
  • Carry a light book of data parsing work alongside your teammates to stay grounded in the team's day-to-day workflows and build supporting solutions
What You'll Bring
  • 3-5+ years of experience in a technical role with a customer-facing component - solutions engineering, data engineering, technical account management, or similar
  • Strong SQL skills and ability to write complex queries, perform ad-hoc data analysis, and work with relational data models
  • Proficiency in Python for scripting, data manipulation, and workflow automation
  • Hands-on experience with REST APIs: designing, consuming, and debugging integrations
  • Genuine curiosity about AI. Experience with prompt engineering, LLM-based workflows, or AI-forward tooling is a strong plus
  • Willingness to travel to work on-site with customers
  • Familiarity with modern data infrastructure such as Snowflake, dbt, or similar data warehouse and pipeline tools
  • Strong communication and ability to translate technical concepts clearly for non-technical stakeholders
  • Experience in B2B SaaS, ideally in fintech, venture capital, or private markets
  • High ownership mentality. You identify problems proactively and drive solutions without waiting to be asked
  • Confidence operating in ambiguity. You don't need a fully defined playbook to get started, and you're energized rather than unsettled by the prospect of helping build one
  • Bonus: experience with data integration tools (Zapier, n8n, Make, or similar), exposure to fund accounting and investment data workflows, or experience configuring MCP servers and AI agents
  • Finance and/or Computer Science degree strongly preferred

Health and dental insurance: We cover you and your dependents' medical/dental/vision insurance 100% in the USA. Internationally we match local health coverage for you and your family.
Flexible vacation: Take time off when you need it! We find most employees take 3-4 weeks in addition to holidays, but there are no firm rules. We trust our employees to know what's best for them.
Paid parental leave: 12 weeks of paid leave for all new parents in the USA. Internationally we match parental leave standards in your area.
Complete transparency: Everyone has full access to business metrics and financial information about the company.
Regular offsites: While we are a remote-first company and build our communication, processes, and structures with a dispersed workforce in mind, we also love getting the team together. On a recurring basis, we fly the whole team out to an exciting destination to plan, bond, and innovate.
We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will thrive with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at recruiting@standardmetrics.io.
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About Standard Metrics

Sourced by ZipRecruiter

Standard Metrics, formerly known as Quaestor, is an automated financial collaboration platform that helps investors and founders to move faster together and make better, forward-facing decisions. We're a full-time team of product builders, investors, and optimists, rebuilding investor relations from the ground up. Standard Metrics is backed by 8VC and Spark Capital along with other leading software VCs and angels and is currently a trusted resource for many of the top venture capital firms in the world.

Industry

Internet and it

Company size

11 - 50 Employees

Headquarters location

San Francisco, CA, US

Year founded

2020

Social media

Twitter

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