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Data Solutions Engineer Jobs (NOW HIRING)

Paychex

Data Solutions Engineer

Rochester, NY · On-site +1

$113K - $135K/yr

  • Medical

  • Retirement

  • PTO

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 ...

Publicis Groupe Holdings B.V

Data Solutions Engineer

Chicago, IL · On-site

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

Data Solutions Engineer II

Scottsdale, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

Epsilon

Data Solutions Engineer

Chicago, IL

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Govwell

Data Solutions Engineer

New York, NY · On-site

$130K - $240K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

Axon

Data Solutions Engineer II

Scottsdale, AZ · On-site +1

$115K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

Jobtailor

Data Solutions Engineer

Durham, NC · On-site

$110 - $160/hr

Document pipelines, data contracts, and SLAs; continuously improve performance and reliability Requirements * 2+ years of hands‑on data engineering (or comparable software engineering with ...

New

Adobe

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 ...

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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 Aug 20, 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?

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 as a data solutions engineer?

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 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.
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Data Solutions Engineer jobs near you
Infographic showing various Data Solutions Engineer job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Solutions Engineer

Paychex

Rochester, NY • On-site, Remote

$113K - $135K/yr

Full-time

Medical, Retirement, PTO

Re-posted 4 days ago

Paychex rating

7.3

Company rating: 7.3 out of 10

Based on 176 frontline employees who took The Breakroom Quiz

236th of 494 rated business services

Job description

Paychex is reimagining how businesses manage their workforce by bringing payroll, HR, benefits, and advisory services together into a single connected HCM platform. As Paychex and Paycor come together, we're combining innovative technology, data-driven insights, AI, and human expertise to help organizations work smarter, support their people, and achieve better business outcomes. This is an exciting time to join our team as we continue to invest in innovation, simplify client experiences, and shape the future of work. At Paychex, you'll have the opportunity to grow your career, make a meaningful impact, and be part of something bigger as One Paychex.


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, and large-scale data operations. The role will involve collaborating with cross-functional teams to develop and deploy end-to-end solutions that improve data availability, scalability, security, and overall performance, ensuring alignment with both business goals and technical best practices.
Responsibilities
  • Work with architects, operations teams, and data scientists to define data requirements and translate them into actionable data strategies. Design, build and optimize data systems for performance, scalability, ease of use and reliability, leveraging tools for observability and troubleshooting; includes exploration of multiple solution options for any given integration objective and analysis of associated advantages and disadvantages. Enhance system integration for data workflows, ensuring performance metrics are met and all integrations remain stable and secure. Collaborate on the integration of AI/ML platforms, ensuring seamless multi-cloud and hybrid cloud operations
  • Build and optimize data pipelines to support data extraction, transformation, and loading (ETL) processes using technologies such as Databricks, Snowflake, and Azure Data Factory. Develop automation frameworks and CI/CD pipelines using tools like Terraform, GitHub Actions, and Azure Pipelines for efficient and reliable data deployment. Ensure data pipelines comply with security, privacy, and compliance standards.
  • Work closely with internal teams, including data engineers, data scientists, analytics engineers and business stakeholders, to understand platform solution needs. Mentor junior engineers, providing guidance on best practices and technologies. Evangelize integration practices and knowledge within the organization to improve collaboration across teams.
  • Stay abreast of the latest trends in cloud computing, machine learning, AI, and data engineering. Explore new technologies and methodologies to continuously improve systems, tools, and data processes.

    • Qualifications
    • Bachelor's Degree in Computer Science, Data Science, Engineering, or related field - Required
    • 7 years of experience in data engineering, software engineering, systems integration, or a related field, with demonstrated expertise in designing, building, and deploying scalable data solutions.
    • 4 years of experience in cloud technologies (Azure, AWS, Google Cloud) and large-scale data processing.
    • 1 year of experience in machine learning model deployment, AI/ML solutions, and data pipeline architecture.
    • Less than 1 year of experience in Familiarity with AI/ML frameworks, DevOps practices, and MLOps processes for integrating AI solutions.
    • Snowflake SnowPro - Preferred

    Live the Paychex Values
  • Act with uncompromising integrity.
  • Provide outstanding service and build trusted relationships.
  • Drive innovation in our products and services and continually improve our processes.
  • Work in partnership and support each other.
  • Be personally accountable and deliver on commitments.
  • Treat each other with respect and dignity.

    • What's in it for you?
    • We value your well-being: We provide over 21 comprehensive rewards, including medical coverage, virtual wellness classes, tuition reimbursement, 401(k) + employer match, adoption assistance, financial assistance, and much more.
    • We value your time: From paid time off to company holidays, culture days, and comprehensive work-life balance programs, we will ensure you have the flexibility you need to be your best.
    • We value your development: Our award-winning training and development programs empower our employees with ongoing learning opportunities to give you the building blocks to grow your career.
    • We value your perspective: Our company culture reflects the diversity of our employees. We want you to be you and your voice to be heard.
    • We value our communities: We offer paid time off for volunteerism and promote many company-wide and local initiatives that benefit organizations you care about.

      • Note: The benefits described apply to full-time employees. Benefits for part-time, contract, and intern roles may vary.

      Not sure if you meet every requirement?
      At Paychex, we know that great talent comes in many forms. If you're passionate about the role but don't check every box, we still encourage you to apply. You might be the right fit - either for this position or another opportunity with us.

      Paychex is an equal opportunity employer. We are committed to fostering a respectful and inclusive workplace where all individuals are treated fairly and evaluated based on their qualifications, experience, and merit. We comply with all applicable federal, state, and local laws prohibiting discrimination in employment.Qualifications:
      • Bachelor's Degree in Computer Science, Data Science, Engineering, or related field - Required
      • 7 years of experience in data engineering, software engineering, systems integration, or a related field, with demonstrated expertise in designing, building, and deploying scalable data solutions.
      • 4 years of experience in cloud technologies (Azure, AWS, Google Cloud) and large-scale data processing.
      • 1 year of experience in machine learning model deployment, AI/ML solutions, and data pipeline architecture.
      • Less than 1 year of experience in Familiarity with AI/ML frameworks, DevOps practices, and MLOps processes for integrating AI solutions.
      • Snowflake SnowPro - Preferred
      Education:UNAVAILABLEEmployment Type: FULL_TIME

    What Paychex employees say

    Pay

    Benefits

    Hours and flexibility

    Workplace

    Get the full story on Breakroom

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    About Paychex

    Sourced by ZipRecruiter

    Consult with America's businesses, leveraging Paychex key referral channels and partnerships to educate stakeholders on our services, and provide consultative solutions to increase market share and drive revenue.

    Industry

    Human resources consulting services

    Company size

    10,000+ Employees

    Headquarters location

    Rochester, NY, US

    Year founded

    1971

    Social media

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