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Data Solutions Engineer Jobs in Texas (NOW HIRING)

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

Irving, TX · On-site

$98K - $160K/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 ...

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 ...

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

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 ...

Solutions Engineer

Richardson, TX · On-site

$85K - $100K/yr

Department Overview The Solutions Engineering/Sales Engineering team partners with the Sales teams ... Foundational understanding of cybersecurity and data privacy best practices. Location & Travel ...

Solution Engineer Location : Dallas, Tx Travel: 30% - 40% Your Role As a Solutions Engineer, you ... You will translate customer requirements into practical, technically sound data center designs that ...

Solution Engineer Location : Dallas, Tx Travel: 30% - 40% Your Role As a Solutions Engineer, you ... You will translate customer requirements into practical, technically sound data center designs that ...

Industries served include oil and gas, water/wastewater treatment, building automation, data ... Solution Engineers are strategically positioned to drive innovation, organizational agility, and ...

The Role We're hiring a Solutions Engineer (Success Team) to be the technical partner for our hosts ... Handle data migrations and data correctness : import/export, mapping, deduping, validation ...

Industries served include oil and gas, water/wastewater treatment, building automation, data ... Solution Engineers are strategically positioned to drive innovation, organizational agility, and ...

Department Overview The Solutions Engineering/Sales Engineering team partners with the Sales teams ... Foundational understanding of cybersecurity and data privacy best practices. Location & Travel ...

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Showing results 1-20

Data Solutions Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do data solutions engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for data solutions engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 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 are the most commonly searched types of Data Solutions Engineer jobs in Texas? The most popular types of Data Solutions Engineer jobs in Texas are:
What are popular job titles related to Data Solutions Engineer jobs in Texas? For Data Solutions Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Solutions Engineer jobs in Texas look for? The top searched job categories for Data Solutions Engineer jobs in Texas are:
Data Solutions Engineer

Data Solutions Engineer

Paychex

Irving, TX • On-site

$106K - $127K/yr

Full-time

Re-posted 29 days ago


Paychex rating

7.3

Company rating: 7.3 out of 10

Based on 174 frontline employees who took The Breakroom Quiz

205th of 451 rated business services


Job description

Job Summary:
Paychex is reimagining how businesses manage their workforce by integrating payroll, HR, benefits, and advisory services into a single platform. 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 performance.
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 Informatica IDMC. 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. Provide occasional operational support and troubleshooting for existing processes and systems.
• 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:
Required:
• 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.
Preferred:
• Snowflake SnowPro
Company:
Paychex is a human capital management company that delivers advisory solutions in human resources, employee benefit solutions, and payroll. Founded in 1971, the company is headquartered in Rochester, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Paychex employees say

Pay

Benefits

Hours and flexibility

Workplace

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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

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