only in your community, but around the world. We believe building engineering is more than systems and structures, it’s about powering... ...where people work, connect, and thrive. From high-performance data centers driv…
Data Engineer jobs in San Antonio, TX
Data engineers build the pipelines and warehouses that move data from source systems to the people and models that need it, keeping it fresh, correct, and queryable at scale.
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Open data engineer roles
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Position: , Assignment Level: Area ~ Technology Job Title: Data Visualization/Reporting Programmer(Student) School: Campus Description: Date Posted: 10/1/2026 Deadline: 2026-11-30 Openings...
electricity is generated, transmitted and delivered as global energy demands grow. From massive data centers to modernizing transmission systems, our industry-recognized engineers and scientists have been at the forefron…
degree in mathematics, computer science, statistics, science, engineering, or another quantitative discipline, or 4 years of relevant education... ...We expect 6+ years of experience in predictive analytics or data analy…
Syms Strategic Group (SSG) is seeking a talented Data Platform Engineer Location: Remote Department: Veterans Affairs (VA) Type: Full Time Min. Experience: Experienced Security Clearance Level: Public Trust (MBI) Salary…
design, deploy and administer applications? If so, the Senior Data Architect position could be your calling.At Frost, it’s about more... ...dataCommunicate new system strategies, designs, and methods to engineers through…
experienced Decision Science Analyst Senior to join the Life Company Data and Analytics team. USAA Life Company is looking to build on its... ...measurement.Knowledge of AI-powered search and Answer Engine Optimization (…
context and how it is changing.Use reflection to develop self awareness, enhance strengths and address development areas.Interpret data to inform insights and recommendations.Uphold and reinforce professional and technic…
experience in information security, cybersecurity, or security engineering roles ~ In-depth knowledge of security principles across network... ...measures to safeguard enterprise systems, applications, and data Monitor a…
initiatives, applying strong technical capability and hands-on engineering experience. Contributes to the design, development, delivery, and... ...-grade LLM applications, including end-to-end pipelines from data ingesti…
Government & Public Sector – Service Delivery Center – AI & Data – Data, Application & Automation Delivery – Analyst From strategy... ...operational issues Collaborate with developers, data engineers, analysts, platform…
Title: Senior Software and Data Engineer Belong. Connect. Grow. with KBR! KBR's National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and na…
What data engineers earn in San Antonio
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $35–$48 | $73k–$100k |
| Mid level | $48–$67 | $100k–$140k |
| Senior | $65–$87 | $135k–$181k |
Adjusted for the San Antonio market from national ranges.
What employers ask for
The skills these listings keep naming
Interview questions worth rehearsing
With the thing the interviewer is actually listening for
Design a pipeline that loads data from a production database into a warehouse daily.
Cover extraction strategy, incremental loads versus full refresh, idempotency, and monitoring. Saying how you would backfill after a failure shows real pipeline experience.
How do you handle late-arriving or duplicate data?
Discuss idempotent upserts, watermarks, and dedup keys. This is a daily reality of the job, so a concrete example lands well.
Batch or streaming — how do you decide?
Anchor on the actual freshness requirement and cost. Most 'real-time' asks are fine at minutes; recognizing that is the mature answer.
A stakeholder says the numbers in their dashboard are wrong. Walk me through your debugging.
Trace lineage from the dashboard back to the source, isolating which layer diverged. Showing calm, structured lineage-tracing is the point of the question.
How do you model data for analytics — star schema, wide tables, something else?
Show you know the classic patterns and modern warehouse economics, and that you choose based on query patterns and team skill, not doctrine.
How do you test data pipelines?
Talk about schema and freshness checks, row-count and distribution tests, and tools like dbt tests or Great Expectations — plus alerting when they fail.
Tell me about a pipeline that failed badly and what you changed.
Structure it like an incident review: impact, cause, fix, prevention. Emphasize the durable improvement, such as monitoring or contract enforcement.
Resume tips that move the needle
For data engineers specifically — generic advice costs you here
State data scale plainly — rows per day, terabytes managed, pipeline counts — because it is the first thing hiring managers scan for.
Name your orchestration, processing, and warehouse tools per role; the modern stack (Airflow, dbt, Snowflake) is a keyword screen.
Highlight reliability outcomes: pipeline failure rates, data freshness SLAs met, incident reductions.
Show cost work if you have it — warehouse spend is a live concern and optimization stories differentiate.
Mention who consumed your data (analysts, ML teams, executives) to show you build for users, not just movement.
Where this role goes
Typical progression
Applying for data engineer jobs in San Antonio?
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