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Data Services Jobs in Texas (NOW HIRING)

Sagent

Data Services Engineer SR

Austin, TX · On-site +1

$113K - $136K/yr

We are currently seeking an experienced Senior Data Services Engineer to design, build, and optimize the data solutions that power our Mortgage Servicing platform. This individual will serve as a ...

Sagent

Data Services Engineer SR

Austin, TX · On-site

$113K - $136K/yr

We are currently seeking an experienced Senior Data Services Engineer to design, build, and optimize the data solutions that power our Mortgage Servicing platform. This individual will serve as a ...

Flowserve

Data Engineer Denodo

Irving, TX · On-site

$109K - $132K/yr

This role will focus on delivering scalable, reusable, secure, and high-performing data services for analytics, reporting, operational use cases, and AI-enabled solutions. Experience with Denodo is ...

Georgia IT, Inc.

Data Architect - Plano, TX

Plano, TX · On-site

$61.50 - $79/hr

Georgia IT, Inc. is seeking a Data Architect with expertise in AWS core data services and cloud databases. The role involves designing data architecture, implementing data ingestion frameworks, and ...

Flowserve

Data Engineer Denodo

Irving, TX · Remote

$109K - $132K/yr

This role will focus on delivering scalable, reusable, secure, and high-performing data services for analytics, reporting, operational use cases, and AI-enabled solutions. Experience with Denodo is ...

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Showing results 1-20

All JobsData Services JobsData Services Jobs in Texas

Data Services information

See Texas salary details

$19.3K

$81.4K

$169.3K

How much do data services jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data services in Texas is $81,385.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,496.00 and $115,205.00 per year, depending on experience, location, and employer.

What are data services?

Data services refer to a range of solutions and processes that manage, process, store, and deliver data within an organization. These services can include data integration, data migration, data analytics, data storage, and data security. Data services help organizations ensure their data is accessible, reliable, and usable for decision-making and business operations. Professionals working in data services often support data quality, governance, and compliance initiatives.

What are the key skills and qualifications needed to thrive in a data services role?

A Data Services professional needs a solid background in data management, analytics, and database technologies, often supported by a degree in computer science or information systems. Familiarity with SQL, data integration tools, cloud platforms, and certifications like AWS Certified Data Analytics or Microsoft Certified: Data Analyst Associate are common requirements. Strong problem-solving, attention to detail, and effective communication skills help standout candidates efficiently interpret and share data insights. These competencies ensure data is accurate, accessible, and valuable for organizational decision-making.

What are some common challenges faced by professionals in data services roles, and how can they be addressed?

Professionals in Data Services often encounter challenges such as managing large volumes of data, ensuring data quality, and integrating data from multiple sources. Staying up-to-date with evolving technologies and best practices is essential to address these challenges. Collaboration with IT, analytics, and business teams is also key to ensuring data solutions meet organizational needs while maintaining data security and compliance standards. Proactively developing strong communication skills and a solid understanding of data governance can help you thrive in this dynamic environment.

What is the difference between Data Services vs Data Analysts?

AspectData ServicesData Analysts
CredentialsTypically requires certifications in data management, database systems, or related fieldsOften requires degrees or certifications in data analysis, statistics, or related areas
Work EnvironmentInvolves working with data infrastructure, databases, and data pipelinesFocuses on analyzing data sets, creating reports, and deriving insights
Employer & Industry UsageUsed across IT, finance, healthcare, and tech companies for data managementCommonly employed in business, marketing, finance, and research sectors for data interpretation

Data Services primarily focus on managing, maintaining, and supporting data infrastructure, while Data Analysts concentrate on analyzing data to generate insights. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What are the most commonly searched types of Data Services jobs in Texas?

The most popular types of Data Services jobs in Texas are:

What are popular job titles related to Data Services jobs in Texas?

For Data Services jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Data Services jobs in Texas look for?

The top searched job categories for Data Services jobs in Texas are:

What cities in Texas are hiring for Data Services jobs?

Cities in Texas with the most Data Services job openings:

Data Services jobs near you
Infographic showing various Data Services job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 4% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $81,385 per year, or $39.1 per hour.

Practice Leader (AI & Data Services)

Austin, TX • Remote

Prestige Staffing
See more jobs at Prestige Staffingexternal

$240K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

Job Title: Practice Leader (AI & Data Services)

Pay: $240,000 - $250,000 depending on experience

Location: Remote, Travel to clients required

Summary:
Our client is seeking a strategic and experienced AI & Data Services Practice Leader to oversee the development and growth of a new data, analytics, AI, and automation practice within their organization. This leadership role involves defining the practice’s vision, crafting scalable offerings, managing end-to-end delivery, and driving operational and financial excellence. The ideal candidate will lead a multidisciplinary team, foster key industry partnerships, and position the firm as a premier provider of data and AI-driven solutions for clients across various industries.

Requirements:

  • 10+ years in consulting or professional services with expertise in AI, data, or cloud technology delivery.
  • 5+ years of P&L ownership
  • Deep knowledge of at least two: Databricks, Snowflake, AI/ML platforms, enterprise data architecture.
  • Experience leading high-performing technical teams
  • Experience with managing client C-suite relationships
  • Plus: Certifications or experience with Databricks, Snowflake, Workato, AWS, Azure, or GCP

Responsibilities:

  • Establish and execute the strategic vision and roadmap for the AI & Data Services practice.
  • Own the practice’s P&L, growth targets, and operational metrics.
  • Develop scalable service offerings and productized solutions across data engineering, analytics, AI/ML, and automation.
  • Build, develop, and lead high-performing global teams, ensuring utilization and retention.
  • Manage relationships with strategic partners such as Databricks, Snowflake, and Workday Data Cloud.
  • Collaborate on joint solutions, certifications, and co-sell opportunities.
  • Act as a trusted advisor to C-suite clients on data and AI strategy.
  • Support sales and marketing efforts by providing thought leadership and client presentations.
  • Foster a culture of innovation, accountability, and continuous learning within the practice.

Benefits:

  • Medical, Dental, Vision, HSA, FSA, life & AD&D, disability insurance, 401(k), EAP, telehealth, pet insurance, and accident/critical illness coverage.
  • Build and own the company's direction in data and AI-led solutions.

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