Senior Encryption Engineer (Data at Rest) Location: This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and wor…
Engineering & IT · Indianapolis, IN
Data Engineer jobs in Indianapolis, IN
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.
137
Open roles today
$35–$87/hr
Typical pay range
$120k
Median, full-time
4
Fresh in this list
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01
Open data engineer roles
12 shown of 137 · sorted by freshness
AlignOps seeks a Solutions Engineer I to support sales, implementation, and renewal phases. You will partner with Account Executives to assess client needs, validate solutions, and design data flow architectures. Post-sa…
$85k - $95k
Job Description Job Description *This is an onsite position located in Indianapolis, IN. LHH is seeking a Manufacturing Data Analyst for a Direct Hire, Permanent Placement position with a manufacturing client located in…
fully digital K-1, transforming how alternative investment tax data is extracted, validated, distributed, and analyzed. Trusted by... ...toward deeper analytics, insights, and AI-driven capabilities, data engineering is…
$115k - $149k
individuality of everyone's culture, history, and service. Description We are looking for a Senior Analytics Engineer to sit at the intersection of data engineering and analytics. You will own the transformation layer of…
Job Description Description: At CSpring, we believe in the power of data to drive decisions and real-world impact. We’re a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytic…
Indianapolis, IN. Candidates within a drivable commute distance to Indianapolis will be considered. If you're passionate about leveraging data to drive business solutions, this role offers the opportunity to make a meani…
At CSpring, we partner with public and private sector organizations to turn complex data into decisions that improve real lives across Indiana and beyond. As a Cloud Data Engineer , you will build the modern Azure data p…
Job Description Job Description Scope of Position Our Client is seeking a Senior Data Platform Engineer to serve as the technical authority for our Operational Data Hub within the Global Data & Analytics team. In this ro…
Description: At CSpring, we believe in the power of people and data to drive real-world impact. We’re a purpose-driven consulting... ...and technology challenges through modern data, analytics, and engineering solutions.…
Job Description Job Description Vergence is seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation enterprise data platform on Microsoft Azure. You will own end-to-end delivery of dat…
or Bash for automation tasks Ability to design and implement database solutions that support business intelligence, reporting and data analytics Benefits for Database Developer: ~ Medical ~ Vision ~ Dental ~ Disability ~…
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What data engineers earn in Indianapolis
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 Indianapolis 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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