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Data Solutions Engineer Jobs (NOW HIRING)

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 ...

Similarweb

Data Solutions Architect

New York, NY · On-site +1

$90K - $145K/yr

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.

Similarweb

Data Solutions Architect

New York, NY · On-site +1

$90K - $145K/yr

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.

Similarweb

Data Solutions Architect

New York, NY · On-site

$90K - $145K/yr

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.

Addison Group

Data Solutions Developer

Oklahoma City, OK · On-site

$70K - $90K/yr

Data Solutions Developer Location: Oklahoma City, OK Pay Range : $70,000 - $90,000 / year depending on experience Benefits : The position is eligible for medical, dental, vision, and 401(k).

Posted today

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 · Remote

$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 ...

Tixy Services LLC

Data Solution Engineer

Dallas, TX · On-site

Data Solution Engineer Location: Rochester, New York / Dallas, TX / Ohio / Pennsylvania Employment ... Design, develop, and maintain scalable enterprise data solutions and cloud-based applications.

New

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 ...

Similarweb

Data Solutions Consultant

New York, NY · On-site +1

$90K - $145K/yr

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.

New

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All JobsData Solutions Engineer Jobs

Data Solutions Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do data solutions engineer jobs pay per year?

As of Jul 10, 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 engineers make $500,000?

Senior data solutions engineers with extensive experience, advanced skills in data architecture, cloud platforms, and programming can earn $500,000 or more annually, especially in high-demand industries or senior leadership roles. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

What engineers make $300,000 a year?

Senior data solutions engineers, especially those with extensive experience, advanced skills in cloud platforms, data architecture, and programming, can earn $300,000 or more annually. High compensation often depends on factors like location, industry, certifications, and the complexity of projects handled.

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.

Can I make 200K as a data engineer?

Data Solutions Engineers and data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and certifications can potentially earn salaries of $200,000 or more, especially in high-cost-of-living areas or senior roles. Salary levels depend on factors such as location, industry, company size, and individual expertise.

What does a data solutions engineer do?

A data solutions engineer designs, develops, and implements data systems and pipelines to support data analysis and business needs. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and secure, often collaborating with data scientists and analysts. Strong problem-solving skills and knowledge of data architecture are essential for this role.

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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% 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

Re-posted 22 days ago

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.