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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

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 ...

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

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 ...

Data Solutions Engineer II

Scottsdale, AZ · On-site +1

$115K - $138K/yr

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 ...

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 ...

Data Solutions Engineer

Boston, MA · Hybrid

$124K - $149K/yr

... AI, data, and platform capabilities that enable global scale and business transformation. Their platform engineering organization is responsible for architecting robust, reusable solutions that ...

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 ...

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 ...

Data Solutions Engineer Location: Hybrid (3 Days Onsite) - Rochester, NY / Pennsylvania / Dallas, TX / Ohio Employment Type: Long-Term Contract Job Summary We are seeking a highly skilled Data ...

Associate Data Solutions Engineer

OR · Remote

$114K - $137K/yr

We strive to understand the why behind our actions and bring our best selves to work every day. ----- JOB SUMMARY The Associate Data Solutions Engineer supports Higher Logic's strategic data ...

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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 30, 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, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Solutions Engineer

Strategic Staffing Solutions

New Albany, OH • Hybrid

$110K - $132K/yr

Other

Posted 7 days ago


Job description

Job Description STRATEGIC STAFFING SOLUTIONS (S3) HAS AN OPENING. Data Solutions Engineer Location(s): New Albany, OH or Tulsa, OK 12+ Months W2 contract role with potential to convert Schedule: M-F 8-5 Onsite 5 days per week Role Summary: As a Data Solutions Engineer on the Interconnection Services team, you'll build and operate governed, auditable data pipelines and models used for regulatory reporting, audit compliance, and executive insights. You will integrate data from internal enterprise platforms and external RTO systems, improving data quality, traceability, and automation across the analytics lifecycle.

Responsibilities: Partner with data analysts and stakeholders to define source-to-target mappings, transformation rules, and ETL requirements. Design, develop, test, and deploy data pipelines and curated data models that integrate internal systems and external RTO tools. Implement automated data quality checks, reconciliation, and audit controls to ensure completeness, accuracy, and lineage.

Produce audit-compliant and regulator-ready datasets by joining Interconnection Services applications/models with enterprise data sources. Create and manage interactive dashboards and reports using tools such as Power BI, enabling effective communication of insights to stakeholders. Qualifications: Education: Bachelor's degree in computer science, engineering, or related technical field is required.

Experience: 2 years of relevant work experience is required. *Beware of scams. S3 never asks for money during its onboarding process.