
Senior Data Engineer
Posted Jul 31

Posted Jul 31
This is a fully remote position, open to applicants in United States, +1 more country.
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.
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.
β’ Competitive salary
β’ Flexible work arrangements
β’ Professional development opportunities
β’ Travel for team gatherings and off-sites
Railroad19
GFT Technologies
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