Remotery

Senior Data Engineer

Posted Jul 31

This is a fully remote position, open to applicants in United States, +1 more country.

πŸ“‹ Description

β€’ Create, develop, and manage the ingestion and transformation pipelines that incorporate labor market, customer, and product data into our data warehouse and product offerings.

β€’ Take ownership of the structure, testing, and documentation of our core data, which includes the skills, occupation, and career taxonomies central to the product.

β€’ Construct the transformation layer and datasets that drive internal analytics, as well as Looker/Quicksight reporting, and the insights we provide to our customers.

β€’ Develop and sustain the pipelines that support our matching and recommendation models, collaborating with Engineering and Data Scientists to ensure models are deployed, monitored, and enhanced in a production environment.


⛳️ Requirements

β€’ Extensive data engineering experience (approximately 4+ years) in designing and managing production ETL/ELT pipelines relied upon by other individuals and systems.

β€’ Proficiency in Python and SQL, with a strong emphasis on SQL β€” experience in data modeling within a warehouse/data lake, rather than just executing queries.

β€’ Practical experience with a contemporary orchestration and transformation stack (such as Airflow, dbt, or similar) and with cloud-based data warehouses.

β€’ Experience in integrating data from diverse external sources β€” including third-party data providers, APIs, and flat file feeds β€” while managing schema changes, unreliable delivery, and varying quality from upstream sources.

β€’ Comfort in handling large, unstructured, and inconsistently formatted data, along with sound judgment regarding when to clean it, when to model around it, and when to challenge the source.

β€’ A proactive approach to reliability: testing, monitoring, and debugging your own pipelines instead of waiting for issues to be reported.

β€’ Strong communication skills: able to articulate a data model and its implications to a non-technical audience.


🏝️ Benefits

β€’ Competitive salary

β€’ Flexible work arrangements

β€’ Professional development opportunities

β€’ Travel for team gatherings and off-sites

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