About the job Data Analyst, Insights (Remote) The ideal candidate will become the data domain expert for their product team and... ...analyst will be embedded with the product team, consisting of UX, Engineering, and a P…
Engineering & IT · San Antonio, TX
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.
136
Open roles today
$35–$87/hr
Typical pay range
$120k
Median, full-time
3
Fresh in this list
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01
Open data engineer roles
12 shown of 136 · sorted by freshness
$111.16k - $150.39k
Qualifications: Skills: Database Architecture, Database Engineering, Oracle, Oracle Database Certifications: None Experience... ...environments, ensuring secure, reliable, and high performance data operations. Lead/Manag…
Job Description Job Description Senior PostgreSQL Database Engineer – AWS – TS/SCIFull Time, On-site San Antonio, TXTop Secret/SCI Clearance... ...and technical duties. provide system administration in core data- related…
$45 per hour
Vibecode specialists to join the Tendem project ( and drive specialized data scraping workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem pr…
$37 per hour
Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. In this role, as an AI Pilot – that’s ho…
Job Description Job Description Overview CTG is seeking an experienced Data Engineer (DataStage / Snowflake) to support enterprise data integration and analytics initiatives. This role is ideal for a hands-on data profes…
SWBC is seeking a talented individual to join our dynamic Data team. The ideal candidate will have some experience in building and maintaining... ...solutions. Why You'll Love This Role As a Junior Data Engineer, you’ll…
$70k - $83k
Job Description Job Description The Data Analyst role is a strong fit for someone who is genuinely curious about the data they... ...strategy. Serve as the primary point of contact between RevOps and engineering for all…
Job Description Job Description POSITION SUMMARY/RESPONSIBILITIES Organizes and analyzes inpatient and outpatient medical records for patients recently dismissed from various units. Assists in accountability and organiza…
improvements. This position manages the installation and maintenance of mechanical systems at Data Centers and operations of specialized cooling systems. Acts as an Engineering resource for the complete H5 portfolio of m…
San Antonio, TX Position Summary The Systems Information Engineer serves as the senior M365 Systems Engineer responsible for enterprise... ...designing and implementing information systems, conducting data modeling, inte…
Sr Data Analyst (Data Strategy, Postgres Database, Data Mining, Data Extraction, SQL) in San Antonio, TX Agile, Business Analysis, Data Analysis, Data Extraction, Data Mining, Data Strategy, Postgres Database, Scrum, SQL…
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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.
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What employers ask for
The skills these listings keep naming
SQL and data modelingPython or ScalaAirflow or similar orchestrationSpark or other batch processingWarehouses (Snowflake, BigQuery)dbtStreaming (Kafka)Data quality testingCloud infrastructure
04
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.
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Resume tips that move the needle
For data engineers specifically — generic advice costs you here
01
State data scale plainly — rows per day, terabytes managed, pipeline counts — because it is the first thing hiring managers scan for.
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Name your orchestration, processing, and warehouse tools per role; the modern stack (Airflow, dbt, Snowflake) is a keyword screen.
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Highlight reliability outcomes: pipeline failure rates, data freshness SLAs met, incident reductions.
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Show cost work if you have it — warehouse spend is a live concern and optimization stories differentiate.
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Mention who consumed your data (analysts, ML teams, executives) to show you build for users, not just movement.
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Where this role goes
Typical progression
01
Junior Data Engineer
02
Data Engineer
03
Senior Data Engineer
04
Staff Data Engineer
05
Data Platform Lead
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