Data Engineer Jobs in San Antonio, TX
Data Engineer jobs in San Antonio are concentrated in the South Texas Medical Center, downtown's central business district, and the Stone Oak corridor, with strong demand across defense contracting, healthcare IT, financial services, and government technology. Employers hiring right now include USAA, XPEL, and Oracle. Find a role that fits below and apply directly.
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Showing 5 of 435+ Data Engineer jobs
General Summary:
Reporting to the Director of Information Technology, this position will play a key role in designing, building, and maintaining scalable ingestion frameworks across modern data tools. The ideal candidate should be highly motivated and passionate about creating data pipelines and models to help solve real-world business problems and should have experience working with cloud-based data platforms.
Supervisory Responsibilities:
General Requirements:
This position has no supervisory responsibilities.
All duties performed will be done accurately and in a timely manner.
- Design, build, and maintain data pipelines and models for business users.
- Extract data from various sources using data replication tools and APIs.
- Scale and optimize exiting data pipelines to ensure efficient data flow and availability.
- Use data transformation and management tools to ensure high-quality, reproducible, and scalable data models.
- Collaborate closely with business stakeholders to understand data needs and implement data models to support business intelligence tools and analytics.
- Ensure data integrity, accuracy, and quality across all data-related projects.
- Continuously evaluate and recommend improvements to the data architecture and tools used within the company.
Knowledge, Skills and Abilities:
- Strong experience with Snowflake for data warehousing and managing large datasets.
- Proficiency in Microsoft SQL Server for querying, data manipulation, and optimization.
- Experience in Azure or equivalent cloud platform.
- Strong SQL skills and solid foundation in Python.
- Proficiency in dbt (or similar) for data transformation, testing, and documentation.
- Experience in version control (such as Azure DevOps) and collaborative coding workflows.
- Experience with data replication tools such as Fivetran, Snowflake Openflow or similar replication software.
- Ability to work on a team and be proficient in collaborating with product owners and development teams.
- Ability to manage multiple projects simultaneously with limited supervision.
- Excellent communication and interpersonal skills.
- Detail-oriented with a strong understanding of incremental logic, schema evolution, and data quality testing.
Education and Experience:
Bachelor’s Degree in Computer Science, Data Analytics, Data Science or related quantitative field preferred. 3+ years of proven data engineering experience with hands-on expertise in data integration, data modeling, and ELT processes.
Mental / Physical Requirements:
Requires manual dexterity, sitting, standing, stooping, reaching, kneeling, crouching, bending, walking, lifting up to 40 lbs. without assistance. Close vision and ability to adjust focus. Must be able to work efficiently under pressure.
Other Duties as Assigned:
The above job description is not intended to be an all-inclusive list of duties and standards of the position. Team members will follow any other instructions, and perform any other related duties, as assigned by their supervisor. Responsibilities, knowledge, skills, abilities, and work environments may change as needs evolve.
General Summary:
Reporting to the Director of Information Technology, this position will play a key role in designing, building, and maintaining scalable ingestion frameworks across modern data tools. The ideal candidate should be highly motivated and passionate about creating data pipelines and models to help solve real-world business problems and should have experience working with cloud-based data platforms.
Supervisory Responsibilities:
General Requirements:
This position has no supervisory responsibilities.
All duties performed will be done accurately and in a timely manner.
- Design, build, and maintain data pipelines and models for business users.
- Extract data from various sources using data replication tools and APIs.
- Scale and optimize exiting data pipelines to ensure efficient data flow and availability.
- Use data transformation and management tools to ensure high-quality, reproducible, and scalable data models.
- Collaborate closely with business stakeholders to understand data needs and implement data models to support business intelligence tools and analytics.
- Ensure data integrity, accuracy, and quality across all data-related projects.
- Continuously evaluate and recommend improvements to the data architecture and tools used within the company.
Knowledge, Skills and Abilities:
- Strong experience with Snowflake for data warehousing and managing large datasets.
- Proficiency in Microsoft SQL Server for querying, data manipulation, and optimization.
- Experience in Azure or equivalent cloud platform.
- Strong SQL skills and solid foundation in Python.
- Proficiency in dbt (or similar) for data transformation, testing, and documentation.
- Experience in version control (such as Azure DevOps) and collaborative coding workflows.
- Experience with data replication tools such as Fivetran, Snowflake Openflow or similar replication software.
- Ability to work on a team and be proficient in collaborating with product owners and development teams.
- Ability to manage multiple projects simultaneously with limited supervision.
- Excellent communication and interpersonal skills.
- Detail-oriented with a strong understanding of incremental logic, schema evolution, and data quality testing.
Education and Experience:
Bachelor’s Degree in Computer Science, Data Analytics, Data Science or related quantitative field preferred. 3+ years of proven data engineering experience with hands-on expertise in data integration, data modeling, and ELT processes.
Mental / Physical Requirements:
Requires manual dexterity, sitting, standing, stooping, reaching, kneeling, crouching, bending, walking, lifting up to 40 lbs. without assistance. Close vision and ability to adjust focus. Must be able to work efficiently under pressure.
Other Duties as Assigned:
The above job description is not intended to be an all-inclusive list of duties and standards of the position. Team members will follow any other instructions, and perform any other related duties, as assigned by their supervisor. Responsibilities, knowledge, skills, abilities, and work environments may change as needs evolve.
See All 435+ Data Engineer Jobs in San Antonio
Find roles in San Antonio that match your experience and apply in just a few clicks.
Find Data Engineer JobsData Engineer Job Market in San Antonio
Who's Hiring
- USAA44
- XPEL44
- Oracle44
- Enlighten44
- T3I44
Top Industries Hiring
- Technology & Software
Data Engineer Jobs in San Antonio: Frequently Asked Questions
How do I get a data engineer job in San Antonio?
Start by targeting San Antonio's strongest hiring sectors: defense and government contracting around Joint Base San Antonio, healthcare systems in the South Texas Medical Center, and financial services firms clustered downtown. Candidates who can demonstrate cloud pipeline experience, SQL proficiency, and familiarity with federal data compliance standards stand out locally. Networking through San Antonio tech meetups and local university alumni groups also opens doors that job boards alone won't.
Which companies hire data engineers in San Antonio?
San Antonio data engineer roles are posted by USAA, XPEL, and Oracle and others right now, based on current listings on Migrate Mate as of November 2026. The local market includes a mix of federal defense contractors, large regional health systems, financial technology firms, and city and county government agencies, all of which maintain in-house data teams.
Are there remote data engineer jobs in San Antonio?
Yes, though availability depends on the role type. About 67% of data engineer openings tied to San Antonio are remote or hybrid as of November 2026, reflecting the desk-based nature of most pipeline and analytics work. Federal contractor and government positions tied to JBSA or local agencies are more likely to require on-site presence due to security clearance and data handling requirements.
How can I get a data engineer job in San Antonio with little or no experience?
The most realistic entry path in San Antonio is landing a junior data analyst or database administrator role at one of the city's large health systems, like University Health or Methodist Healthcare, or through a defense contractor's IT division that hires for entry-level data support work. Building skills in Python, SQL, and cloud platforms like AWS or Azure, then applying for data analyst roles that evolve into engineering work, is a proven local ladder. Certifications from UTSA or local community college programs also carry weight with San Antonio employers.
Which industries hire the most data engineers in San Antonio?
Most data engineer openings in San Antonio sit in Technology & Software, per current listings on Migrate Mate as of November 2026. San Antonio's economy is anchored by its large military presence, a nationally significant medical complex, and a growing cybersecurity and fintech sector, all of which generate consistent demand for engineers who can build and maintain data infrastructure at scale.
See All 435+ Data Engineer Jobs in San Antonio
Find roles in San Antonio that match your experience and apply in just a few clicks.
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