
Data Engineer PK
7 days ago
Let's be direct: We're looking for a technical powerhouse. If you're the developer who:
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Is the clear technical leader on your team
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Consistently solves problems others can't crack
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Ships complex features in half the time it takes others
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Writes code so clean it could be published as a tutorial
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Takes pride in elevating the entire codebase
Then we want to talk to you.
This isn't a role for everyone, and that's by design.
We're seeking developers who know they're exceptional and have the track record to prove it.
What you'll do
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Build, optimize, and scale data pipelines and infrastructure using Python, TypeScript, Apache Airflow, PySpark, AWS Glue, and Snowflake.
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Design, operationalize, and monitor ingest and transformation workflows: DAGs, alerting, retries, SLAs, lineage, and cost controls.
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Collaborate with platform and AI/ML teams to automate ingestion, validation, and real-time compute workflows; work toward a feature store.
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Integrate pipeline health and metrics into engineering dashboards for full visibility and observability.
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Model data and implement efficient, scalable transformations in Snowflake and PostgreSQL.
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Build reusable frameworks and connectors to standardize internal data publishing and consumption.
Required qualifications
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4+ years of production data engineering experience.
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Deep, hands-on experience with Apache Airflow, AWS Glue, PySpark, and Python-based data pipelines.
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Strong SQL skills and experience operating PostgreSQL in live environments.
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Solid understanding of cloud-native data workflows (AWS preferred) and pipeline observability (metrics, logging, tracing, alerting).
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Proven experience owning pipelines end-to-end: design, implementation, testing, deployment, monitoring, and iteration.
Preferred qualifications
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Experience with Snowflake performance tuning (warehouses, partitions, clustering, query profiling) and cost optimization.
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Real-time or near-real-time processing experience (e.g., streaming ingestion, incremental models, CDC).
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Hands-on experience with a backend TypeScript framework (e.g., NestJS) is a strong plus.
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Experience with data quality frameworks, contract testing, or schema management (e.g., Great Expectations, dbt tests, OpenAPI/Protobuf/Avro).
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Background in building internal developer platforms or data platform components (connectors, SDKs, CI/CD for data).
Additional Information:
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This is a fully remote position.
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Compensation will be in USD.
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Work hours are aligned with the EST time zone (9 AM to 6 PM EST) or PT time zone.
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