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Intern Data Solutions Engineer Jobs in New York (NOW HIRING)

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 ...

Job Summary The Data Solutions Team is a core part of Optimum Media. Our team incorporates data ... The Intern will work closely with Data Engineering and Data Analytics teams to help ingest, process ...

Job Summary The Data Solutions Team is a core part of Optimum Media. Our team incorporates data ... The Intern will work closely with Data Engineering and Data Analytics teams to help ingest, process ...

Big Data Solutions Engineer

Bridgewater, NJ · On-site

$57 - $75.50/hr

Evaluate big data technologies and prototype solutions to improve our data processing architecture ... Programming language -- Java (must), Python, Scala, Ruby * Batch processing -- Hadoop MapReduce ...

Skill Hadoop Big Data Big Data Engineer Flume Storm Hive Location Bridgewater, NJ Total Experience ... Evaluate big data technologies and prototype solutions to improve our data processing architecture.

... solutions. UNDSS is looking for enthusiastic and highly motivated individuals with skills in ... Computer Science, Data Science, Engineering, Information Management, Geographic Information Systems ...

As an intern on the data engineering team you will work directly with our senior data engineers, software engineers and data scientists to build and maintain the infrastructure and data pipelines ...

You'll partner with Sales, Account Management, Data Solution Engineers, and client‑side technical leaders to define how data is applied, integrated, and operationalized across complex environments.

As an intern on the data engineering team you will work directly with our senior data engineers, software engineers and data scientists to build and maintain the infrastructure and data pipelines ...

Integrated within the data science team, the intern data scientist will work on data projects ... engineering or business school, currently pursuing a degree in data science, Statistics ...

Search, AI & Data Engineering: Implement and optimize enterprise search solutions using Elasticsearch, AI/LLM integrations, Agentic Workflows, and modern AI tooling to improve relevance, automation ...

Search, AI & Data Engineering:Implement and optimize enterprise search solutions using Elasticsearch, AI/LLM integrations, Agentic Workflows, and modern AI tooling to improve relevance, automation ...

Search, AI & Data Engineering : Implement and optimize enterprise search solutions using Elasticsearch, AI/LLM integrations, Agentic Workflows, and modern AI tooling to improve relevance, automation ...

The Solutions Engineer will collaborate with clients and engineers to develop innovative market data solutions, enhancing the company's leadership in the industry. Responsibilities : • Leverage ...

Sensor Tower is seeking a Solutions Engineer to join our I&S team as it continues to grow and ... Data-Driven Storytelling: Employ strong analytical and storytelling skills to transform complex ...

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Intern Data Solutions Engineer information

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 are the most commonly searched types of Data Solutions Engineer jobs in New York?

The most popular types of Data Solutions Engineer jobs in New York are:

What cities in New York are hiring for Intern Data Solutions Engineer jobs?

Cities in New York with the most Intern Data Solutions Engineer job openings:

Data Solutions Engineer

Govwell

New York, NY • On-site

$130K - $240K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 7 days ago


Job description

About GovWell
We the people - and the taxpayers - deserve good government. Yet today, interacting with government services is often frustrating and inefficient. GovWell is building the AI operating system transforming how governments serve communities, starting with local agencies.
GovWell replaces legacy software for municipalities and counties, empowering public servants to radically streamline public services and cut internal processing time for permits and licenses by up to 95%.
Founded in 2023, GovWell powers 5,000+ mission-critical processes for agencies in 35+ states serving millions of residents. The company has raised $35M in funding from Insight Partners, Work-Bench, and Bienville Capital, and the team works in person at GovWell HQ in New York City. Read more about our founding story in TechCrunch.
☀ Why GovWell?
  • A mission that matters: Building AI-powered products to fix outdated government systems isn't just a technical challenge-it's a historic opportunity to improve our foundational relationship with government and ensure trillions of tax dollars result in high quality services. WATCH: Mission & Vision with CEO & Co-Founder Troy LeCaire
  • Real-world impact: GovWell's product is the system of record for government services that affect millions of Americans. From streamlining permitting for small businesses to accelerating affordable housing development, your work will make an immediate difference.
  • Join a startup in hyper-growth: We've found product-market fit and are scaling the business very quickly (4X ARR growth in the last year). As an early team member, you'll learn what it takes to build a successful startup. You'll work closely with the founders while enjoying exceptional autonomy and ownership over your work.
Role overview
When a city switches to GovWell, one thing has to go right before anything else can: their data. A decade of permits, parcels, inspections, and license records - often living in a 2009 Access database, a folder of CSVs, or a legacy system with no documentation - has to land in GovWell accurately. If it doesn't, our relationship with a new client is off to a bumpy start.
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 it into clean, trusted production data. That means writing SQL/Python that finds the edge cases before they find you, leading calls with non-technical government staff, and making judgment calls on messy data that you'd stake the launch on.
You'll report directly to Ben Cohen (Co-Founder & CTO) and work across Deployment, Product, and Engineering - with real influence over how GovWell's onboarding process matures as we scale.
We have a hybrid work culture that combines regular in-person collaboration at our New York City office (3+ days per week) with flexibility to work remotely.
What you'll do
  1. Own data migrations end-to-end. Work directly with government staff to understand their source systems, configure schema mappings and ingestion settings, run validations and dry-runs, and ensure accurate, complete data lands in GovWell.
  2. Be the gatekeeper for data quality. Identify gaps, inconsistencies, and edge cases in legacy data before they become production problems. Make documented judgment calls within defined constraints - and prevent bad or unsafe data from ever reaching production.
  3. Be the technical face of onboarding. Lead customer calls, clearly explain data requirements and tradeoffs, and guide agency staff through the transition from legacy systems to GovWell with calm confidence.
  4. Make the process better as you run it. Use internal tools, templates, and playbooks to reduce time-to-launch and minimize manual work. Help build toward a future where migrations are predictable, repeatable, and fast.
  5. Close the feedback loop with Product and Engineering. Document recurring issues, unmet assumptions, and tooling gaps encountered during migrations - helping the platform evolve based on what you see in the field.

Who you are
Required
  • 2-4 years of hands-on experience in data migrations, ETL/ELT, technical implementations, or a closely related role working with messy, real-world production data.
  • Demonstrated ability to work directly in a Python codebase day-to-day (reading, debugging, and shipping changes via PRs) - ideally in a data/pipeline repo (e.g., Airflow DAGs, ingestion jobs, migration utilities).
  • Strong SQL proficiency used in practice for analysis, validation, reconciliation, and transformation work.
  • Experience translating ambiguous stakeholder requirements into concrete, testable migration/implementation plans (what we're importing, what we're not, and why).
  • Track record of operating in execution-heavy environments with high ownership and high attention to correctness (where mistakes create customer-facing trust issues).

Preferred
  • Experience with workflow orchestration and pipeline operations (Airflow, Dagster, Prefect, etc.), including interpreting logs, safe reruns, and handling large backfills/imports.
  • Experience with customer-facing implementation/onboarding work (especially where you need to explain constraints and tradeoffs to non-technical stakeholders).
  • Familiarity with geospatial data concepts or GIS tooling (e.g., ArcGIS, address/parcel data), or strong willingness to learn quickly.
  • Experience in B2B SaaS (or similarly complex product domains) where data correctness materially impacts user workflows.
  • Experience partnering closely with product/engineering teams to turn recurring operational pain into playbooks, tooling improvements, and system-level fixes.

Our tech stack
  • SQL - your core tool for validation, reconciliation, and troubleshooting
  • Python - used in data workflows and automation
  • Airflow - for managing data migration pipelines
  • PostgreSQL - our core database
  • RedwoodJS, GraphQL, TypeScript, AWS - the broader software engineering environment you'll interact with

Compensation and benefits
Compensation within the posted salary band will be commensurate with experience. All offers will include:
  • Competitive base salary.
  • Equity / stock options.
  • Medical, dental, and vision insurance.
  • 401(k) program.

→ Click here to meet the data & engineering team
Below: a picture of the entire GovWell team celebrating our Series A with a boat cruise on the Hudson!