Senior Data Engineer I
Posted Sep 18, 2026 · We last checked this listing on Oct 6, 2026
Likely interview questions for this role
Written from this job description, not a generic list. Each one notes what the interviewer is really checking.
About your past
Tell me about a time a data pipeline failed in production and you had to figure out why. What broke and how did you find it?
What they are checking: debugging discipline and comfort operating and maintaining infrastructure long-term
Describe a time you had to explain a technical tradeoff to someone non-technical, like a business analyst or marketing partner, who needed a data solution.
What they are checking: ability to communicate across technical and business audiences, which the posting explicitly calls out
Tell me about a time you had to performance-tune a system that wasn't scaling, whether that was a query, a pipeline, or a service. What did you change and how did you know it worked?
What they are checking: concrete experience with performance engineering rather than just naming tools
Tell me about a time you inherited or worked with a data platform tool you hadn't used before, like Trino, Airbyte, or a message queue. How did you get up to speed and start contributing?
What they are checking: adaptability across the broad tool surface this role touches
What would you do
Say a marketing analyst comes to you needing self-service access to a new data source so they can build their own pipelines without waiting on your team. How would you design that so it's actually safe and scalable for them to use on their own?
What they are checking: experience building reusable frameworks and tools rather than one-off solutions
Suppose a stream of events coming through Kafka starts arriving late or out of order and it's breaking downstream aggregations. How would you approach diagnosing and fixing that?
What they are checking: hands-on knowledge of streaming architecture pitfalls, not just theoretical Kafka knowledge
If two teams, say Data Science and Marketing, wanted conflicting things from the same data platform feature, how would you go about resolving that?
What they are checking: ability to balance competing stakeholder needs while keeping the platform coherent
About the work
Walk me through a data pipeline you built from scratch, from the raw source all the way to something a stakeholder used. What did the architecture look like and why did you choose it?
What they are checking: end-to-end ownership and ability to make sound design tradeoffs for pipelines
We run Airflow, Python, dbt, and Spark for ETL, with Redshift as the warehouse and S3 as the lake queried through Trino. If I gave you a new nightly batch job that needs to land data into that stack, how would you decide where each step should run?
What they are checking: real familiarity with this specific stack and judgment about workload placement
How would you use Terraform to provision a new piece of infrastructure for a data service, say a Kafka Connect cluster or a new Redshift schema, and what would you want to make sure is captured in version control versus done manually?
What they are checking: depth of infrastructure-as-code experience beyond just running terraform apply
How do you decide what should be containerized with Docker versus run some other way, and what has your experience been deploying and managing things in Kubernetes or a similar orchestrator?
What they are checking: practical depth with containerization and orchestration, not just resume keywords
What's your approach to setting up CI for a data pipeline repo, things like tests, git workflow, and how you glue components together with shell scripts or Makefiles?
What they are checking: engineering rigor and whether they treat pipelines as real software with proper testing
How have you used AI tools like Claude or Codex in your day-to-day engineering work, and where do you still not trust them?
What they are checking: genuine, calibrated experience with modern AI tooling rather than a rehearsed answer
Practice this interview out loud.
Offer builds a real interview for this exact role at SpotHero from your resume and this job description, asks the questions one at a time, and tells you what landed. The first one is free.
Practice this out loudThe full job description
As published by SpotHero.