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Data Solutions Engineer Jobs (NOW HIRING)

Seven Seven Software

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

* A full life cycle data solutions engineer with minimum for eight years of experience * Strong experience in SDLC delivery in Agile methodologies * Experience in developing, implementing data ...

Fortitude Re

AVP, Data Solutions Engineering

Jersey City, NJ · Hybrid

$119K - $143K/yr

The Assistant Vice President, Data Solutions Engineering will be responsible for building operational data pipelines and delivering fully documented datasets that account for data integrations. This ...

Fortitude Re

AVP, Data Solutions Engineering

Jersey City, NJ · Hybrid

$119K - $143K/yr

The Assistant Vice President, Data Solutions Engineering will be responsible for building operational data pipelines and delivering fully documented datasets that account for data integrations. This ...

Squirro

Solutions Engineer

Manhattan, NY · On-site

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 ...

Squirro

Solutions Engineer

Manhattan, NY · On-site

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 ...

Squirro

Solutions Engineer

Manhattan, NY · On-site

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 ...

Umpqua Health

Solutions Engineer

Roseburg, OR · On-site +1

$100K - $118K/yr

Reporting to the Data Solutions Manager, this role performs a full range of database analysis and engineering functions, including design, development, testing, implementation, and ongoing support of ...

Umpqua Health

Solutions Engineer

Roseburg, OR · Remote

Reporting to the Data Solutions Manager, this role performs a full range of database analysis and engineering functions, including design, development, testing, implementation, and ongoing support of ...

Hp

Data Solutions - Data Engineer

Spring, TX · On-site

$130K - $205K/yr

Data Solutions - Data Engineer Description - Job Summary The Data Solutions - Data Engineer is responsible for data collection procedures, including accurate and relevant data for machine learning ...

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Data Solutions Engineer information

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$44.5K

$129.7K

$177.5K

How much do data solutions engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for data solutions 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 Solutions Engineer job?

A Data Solutions Engineer designs, develops, and optimizes data architectures, pipelines, and integrations to support business intelligence, analytics, and machine learning. They work with databases, cloud platforms, and data processing frameworks to ensure efficient data flow and storage. This role requires expertise in data modeling, ETL processes, and programming languages like SQL, Python, or Scala. Collaboration with data scientists, analysts, and software engineers is essential to build scalable and reliable data solutions.

What are the key skills and qualifications needed to thrive in the Data Solutions Engineer position, and why are they important?

To thrive as a Data Solutions Engineer, you need strong expertise in data modeling, database architecture, and data integration, often backed by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, ETL platforms, cloud services like AWS or Azure, and certifications such as AWS Certified Data Analytics or Google Cloud Data Engineer are highly valued. Excellent problem-solving, collaboration, and communication skills help bridge technical and non-technical teams and ensure project success. These abilities enable efficient delivery of scalable, reliable data solutions that support business goals.

What are some typical challenges Data Solutions Engineers face in their daily work?

Data Solutions Engineers often encounter challenges such as integrating data from diverse sources, ensuring data quality, and optimizing data pipelines for performance and scalability. They may need to balance the technical demands of building robust data architectures with adapting to changing business requirements and deadlines. Collaboration with cross-functional teams—including data scientists, analysts, and business stakeholders—is common, requiring adaptability and strong communication skills. Overcoming these challenges not only keeps the job engaging but also offers opportunities for continuous learning and professional growth.

More about Data Solutions Engineer jobs
What cities are hiring for Data Solutions Engineer jobs? Cities with the most 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 Data Solutions Engineer jobs? States with the most job openings for Data Solutions Engineer jobs include:
What job categories do people searching Data Solutions Engineer jobs look for? The top searched job categories for Data Solutions Engineer jobs are:
Data Solutions Engineer jobs near you
Infographic showing various Data Solutions Engineer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Solutions Engineer (Micro Business & AI Startups) - San Francisco / NYC

Bright Data

New York, NY • On-site

Full-time

Posted yesterday

Job description

Bright Data is hiring a Solutions Engineer to support our micro business and AI startup segment. This role combines technical discovery, onboarding, code-level solutioning and self-service content creation. You will work closely with AI-native startups in our startup program while also helping smaller customers get set up quickly, adopt successfully and grow over time.

Why join Bright Data

This role blends solutions engineering, AI advisory, onboarding and scaled enablement in a way that is highly relevant to Bright Data’s startup and micro business motion. It is a strong fit for someone who enjoys solving customer problems directly while also building reusable systems, content and technical assets that support a more product-led experience.

*This is a hybrid position based in San Francisco or New York City*


Responsibilities:
  • Partner with AI startup accounts and run insight-led discovery to understand their product, model strategy, data needs and likely future requirements.
  • Act as a technical advisor by mapping use cases across LLMs, RAG, agent workflows and data pipelines to Bright Data solutions.
  • Nurture accounts technically over time by anticipating onboarding gaps, configuration needs, expansion triggers and new use cases before the customer asks.
  • Lead technical workshops, webinars, perform code reviews, troubleshoot integrations and build sample implementations, scripts and reference architectures in Python and/or JavaScript.
  • Support customers using MCP, agent skills, hooks and modern agent frameworks and provide technical guidance on how to integrate with Bright Data solutions.
  • Lead onboarding and configuration activities including authentication, setup, workflow design and faster time-to-first-value for both technical and non-technical customers.
  • Create technical documentation, implementation guides, troubleshooting runbooks and short video tutorials that promote self-service adoption.
  • Partner with Sales, Product, Engineering and Field Marketing to convert customer needs into repeatable solutions and expansion opportunities.

Requirements:
  • 3+ years in a customer-facing technical role such as Solutions Engineer, Solutions Architect, Implementation Engineer, Developer Advocate or Technical CSM.
  • Strong AI fluency, including practical understanding of LLMs, RAG, model behavior, VLMs, VLAs and agentic AI workflows.
  • Ability to read, write and review production-quality Python and/or JavaScript code for APIs, automations and data workflows.
  • Hands-on experience with MCP, agent skills, tool calling and familiarity with at least one agent frameworks such as LangGraph, CrewAI, AutoGen, or similar systems.
  • Experience onboarding customers and translating technical concepts into clear, practical guidance for both technical and non-technical users.
  • Proven ability to produce strong written documentation and video-based enablement content that drives self-service adoption.
  • Strong ownership, startup comfort and the ability to balance direct customer support with building scalable assets for future customers.