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Data Solutions Engineer Jobs (NOW HIRING)

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

The Data Solutions Engineer role involves bridging technical execution and customer needs across AI data projects, working closely with various teams to design scalable data workflows and support ...

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

The Data Solutions Engineer will bridge technical execution and customer needs across AI data projects, working closely with clients and various teams to design scalable data workflows and support ...

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

The Data Solutions Engineer will bridge technical execution and customer needs, working closely with clients and teams to design scalable data workflows and support AI data projects. Responsibilities ...

Data Solutions Engineer

Irving, TX · On-site

$106K - $127K/yr

The Data Solutions Engineer will play a key role in optimizing data systems to support analytics, machine learning, and AI, collaborating with teams to enhance data workflows and ensure system ...

Data Solutions Engineer

West Palm Beach, FL · On-site +1

$91K - $156K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and optimizing data systems to support data monetization, analytics, machine learning, artificial intelligence ...

Data Solutions Engineer

Cincinnati, OH · On-site

$91K - $156K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and optimizing data systems to support data monetization, analytics, machine learning, artificial intelligence ...

Data Solutions Engineer

Rochester, NY · On-site +1

$91K - $156K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and optimizing data systems to support data monetization, analytics, machine learning, artificial intelligence ...

Data Solutions Engineer

Cincinnati, OH · On-site +1

$91K - $156K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and optimizing data systems to support data monetization, analytics, machine learning, artificial intelligence ...

Data Solutions Engineer

Chicago, IL · On-site +1

$91K - $156K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and optimizing data systems to support data monetization, analytics, machine learning, artificial intelligence ...

Data Solutions Engineer

Saint Petersburg, FL · On-site +1

$91K - $156K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and optimizing data systems to support data monetization, analytics, machine learning, artificial intelligence ...

Data Solutions Engineer

Tempe, AZ · On-site +1

$91K - $156K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and optimizing data systems to support data monetization, analytics, machine learning, artificial intelligence ...

Data Solutions Engineer

Allentown, PA · On-site +1

$91K - $156K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and optimizing data systems to support data monetization, analytics, machine learning, artificial intelligence ...

Data Solutions Engineer

Irving, TX · On-site +1

$91K - $156K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and optimizing data systems to support data monetization, analytics, machine learning, artificial intelligence ...

Axon's Data and Integrations Team is seeking a Data Solutions Engineer II to design, build, and deliver end-to-end integration solutions for public safety agencies. In this role, you'll architect ...

Data Solutions Engineer

Chicago, IL · On-site

$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 ...

Data Solutions Engineer

New York, NY · On-site

$130K - $180K/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 ...

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Showing results 1-20

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.

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:
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.

Data Solutions Engineer

Abaka AI

Mountain View, CA • On-site

$136K - $163K/yr

Full-time

Re-posted 21 days ago


Job description

Job Summary:
Abaka AI is dedicated to being the world's most trusted data partner for AI companies, supporting over 1,000 industry leaders with reliable data solutions. The Data Solutions Engineer role involves bridging technical execution and customer needs across AI data projects, working closely with various teams to design scalable data workflows and support successful project execution.
Responsibilities:
• Partner with clients and internal stakeholders to understand project requirements and define scalable data workflows
• Translate customer needs into operational plans, technical specifications, and execution strategies
• Support AI data projects across image, video, audio, text, reasoning, and multimodal domains
• Troubleshoot dataset quality issues and identify workflow improvements
• Collaborate cross-functionally with Project Management, Operations, Research, GTM, and Engineering teams
• Assist with dataset reviews, QA processes, delivery validation, and project health tracking
• Build or improve lightweight internal tooling, automations, and operational systems
• Support presales conversations by helping scope project feasibility, timelines, and technical requirements
• Develop a strong understanding of frontier AI workflows, benchmarks, and model development needs
• Contribute to internal documentation, process standardization, and operational scalability
Qualifications:
Required:
• 1–4 years of experience in Solutions Engineering, Data Operations, Technical Program Management, Analytics, Consulting, AI Operations, or related fields
• Strong communication skills with the ability to explain technical concepts clearly to both technical and non-technical stakeholders
• Highly organized with strong problem-solving abilities and attention to detail
• Comfortable operating in fast-paced startup environments with evolving priorities
• Interest in AI, machine learning, multimodal systems, or data infrastructure
Preferred:
• Familiarity with SQL, Python, scripting, APIs, spreadsheets, or workflow automation tools
• Experience working cross-functionally with technical and operational teams
Company:
Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.