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Data Solutions Engineer Jobs in Texas (NOW HIRING)

Build and maintain the data pipelines and integrations that put AI solutions into production. Minimum Qualifications: * Bachelor's degree in Computer Science, Engineering, Information Systems, or ...

Solutions Engineer

Dallas, TX · On-site

$85 - $115/hr

Solutions Engineer at Birdeye in Dallas, TX, United States Sales Full-time Description About ... Ability to analyze data with excellent attention to detail * Demonstrated ability to meet deadlines ...

The AI Solutions Engineer will partner closely with AI Business Solutions Engineers, division stakeholders, IT architecture, security, data teams, and governance groups to transform approved AI ...

... Solutions Analyst to join their delivery teams. The role involves monitoring, analyzing, and ... Required : • Bachelor's degree in Math, CS, data science/engineering or equivalent analytical ...

Solutions Engineer

Austin, TX · On-site

$89.09 - $111.36/hr

... a skilled and dynamic Solutions Engineer to design and implement cutting-edge technological ... Real-Time Data Processing: Familiarity with Apache Kafka, AWS Kinesis, or Google Pub/Sub is ...

Data Engineer

Houston, TX

$109K - $131K/yr

STRATEGIC STAFFING SOLUTIONS HAS AN OPENING. This is a Contract Opportunity with our company that ... Data Engineer Location: Houston, TX Contract Length: 12+ Months Job ref# 247245 Seeking a Senior ...

Software Engineer - Strategic Data Solutions

Austin, TX · On-site

$113K - $136K/yr

We are seeking a customer-focused, passionate, and driven Software Engineer with experience in building analytic tools and solutions. Description With the expansive data we have, our job is to build ...

Showing results 41-60

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 Sep 4, 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 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.

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 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:

Infographic showing various Data Solutions Engineer job openings in Texas as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.

$130 - $170/hr

Other

Posted 3 days ago

New


Job description

Job Category: Information Technology & Security

Requisition Number: DATAA001161

  • Full-Time
  • Hybrid
Locations

Showing 1 location

Austin, TX

Description

We are seeking a Data & AI Solutions Engineer to design, build, and scale enterprise-grade data and AI solutions across UTIMCO's Microsoft ecosystem. This role combines software engineering, cloud technologies, data engineering, and generative AI to deliver intelligent applications that enhance investment decision-making, operational efficiency, and business processes. Success in this role requires curiosity about both technology and the investment business, along with the ability to build trusted partnerships and deliver solutions that improve how the organization operates. Working closely with investment, risk, operations, and technology teams, this individual will translate complex business challenges into secure, scalable, and production-ready solutions while helping advance UTIMCO's enterprise data and AI capabilities. The position emphasizes rapid prototyping with a clear path to enterprise deployment, operational excellence, and long-term support.

Overall Responsibilities
  • Design, develop, and maintain scalable enterprise data pipelines using Azure Data Factory, Databricks, and Azure-native services.
  • Build reusable data integration and transformation frameworks supporting structured and unstructured data
Generative AI Solutions
  • Integrate Azure OpenAI Service capabilities into enterprise applications within UTIMCO's secure Azure environment.
  • Design and implement Retrieval-Augmented Generation (RAG) solutions using approved enterprise data sources.
  • Develop prompt engineering, evaluation, testing, and monitoring processes that support quality, traceability, and responsible AI deployment.
  • Design, develop, and deploy full-stack applications using modern web technologies and Microsoft-centric development tools.
  • Implement and maintain CI/CD pipelines and deployment workflows using Azure DevOps.
  • Ensure solutions meet enterprise standards for security, performance, observability, reliability, and operational readiness.
Business Partnership & Solution Delivery
  • Take ownership of solutions throughout their lifecycle by partnering with stakeholders to continuously enhance functionality, usability, and business value.
  • Partner directly with investment, risk, and operational teams to identify opportunities for workflow automation and business process improvement.
  • Translate business requirements into scalable technical architectures and iterative implementation roadmaps.
  • Influence solution design through close partnership with business stakeholders and iterative delivery of high-value capabilities.
  • Drive adoption through hands-on development, stakeholder collaboration, and continuous feedback loops.
  • Apply secure-by-design principles and established governance practices throughout the software development lifecycle.
  • Support responsible and ethical use of data and AI technologies through transparency, monitoring, governance controls, and auditability.
  • Balance rapid experimentation with disciplined software engineering practices, including automated testing, documentation, monitoring, release management, and operational support.
Requirements
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent hands-on software development experience demonstrating strong coding ability.
  • 4+ years of professional software engineering experience, or equivalent practical experience, designing, developing, or supporting software applications, cloud solutions, or data platforms.
  • Experience developing applications using Azure or AWS, with an interest in working within a Microsoft Azure ecosystem.
  • Experience working in a modern software development environment using Agile methodologies, including sprint planning, task boards, daily standups, source control, and collaborative code reviews.
  • Familiarity with Git, GitHub or Azure DevOps, branching strategies, continuous integration, and continuous deployment (CI/CD) practices.
  • Experience developing full-stack applications using technologies such as React, TypeScript, .NET, or comparable modern development frameworks.
  • Experience partnering with business users, customers, or stakeholders to understand business needs and translate them into technical solutions.
  • Experience working with enterprise data, analytics, APIs, or cloud-native applications. Experience with financial or investment data is helpful but not required.
  • Exposure to AI, machine learning, or generative AI technologies, including using AI-assisted development tools to improve productivity and software delivery.
  • Familiarity with application security, identity management, testing, debugging, and software engineering best practices.
  • Strong analytical and problem-solving skills with a passion for learning new technologies and continuously improving.
  • Excellent written, verbal, and interpersonal communication skills, with the ability to collaborate effectively across technical and non-technical teams.
  • Demonstrated initiative, curiosity, and ownership. We're looking for someone who is a self-starter, eager to learn, and excited to build solutions in a collaborative environment.
Preferred Qualifications
  • Hands-on experience with Azure Data Factory, Databricks, and Microsoft-native analytics solutions
  • AI- or cloud-related certifications (e.g., Microsoft Azure, Azure AI, or Databricks) are a plus.
  • Microsoft Azure, Azure AI, Databricks, or other relevant cloud and AI certifications.
  • Experience operating in financial services, institutional investment management, or other regulated environments.
  • Experience implementing Retrieval-Augmented Generation (RAG) architectures and enterprise search solutions
  • Experience developing evaluation, monitoring, and governance frameworks for AI-enabled applications
  • Familiarity with production support, observability, monitoring, and incident response practices
  • Knowledge of responsible AI principles, data governance, and ethical use of AI technologies
  • Experience with Azure DevOps and modern DevOps practices
  • Working knowledge of institutional investment management, capital markets, or financial services, with an interest in learning investment operations and portfolio management workflows
  • Experience operating in a regulated enterprise environment
  • Experience working in a dynamic, collaborative, and team-oriented atmosphere

This position may be Contract to Full-Time hire.

NOTE: This role requires in-office, 3 days a week.

As part of UTIMCO’s Code of Ethics and personal trading compliance requirements, employees are subject to restrictions and reporting obligations related to personal securities trading activities, including activities conducted through household or dependent accounts. Please refer to UTIMCO’s Code of Ethics for additional information regarding these requirements. If you or someone in your household engages in extensive personal trading, please raise the issue with Human Resources for further discussion.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.

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