Data Engineer

Minimum Qualifications

8+ years of experience doing quantitative and operational analyses in a customer support/service, e-commerce, or order management organization

Strong data engineering skills: experience designing and building production-grade data pipelines, data models, and ETL/ELT processes at scale

Proficiency in SQL (complex queries, performance tuning, window functions) and at least one programming language (Python preferred)

Experience with generative AI tools and frameworks (e.g., prompt engineering, RAG architectures, LLM APIs, or AI agent workflows)

Experience with data warehousing platforms (e.g., Hive, Presto, Spark, Snowflake, or BigQuery)

Familiarity with customer support platforms (e.g., Salesforce)

Experience with digital analytics tools (e.g., Google Analytics, Adobe Analytics)

Experience with workflow orchestration tools (e.g., Airflow, Dataswarm, or equivalent)

Experience with data visualization tools such as Tableau, Looker, or equivalent for creating self-service dashboards

Demonstrated experience with data quality frameworks, data governance, and data modeling best practices (dimensional modeling, star/snowflake schemas)

Hands-on experience with AI/ML enablement—such as building feature pipelines, working with LLM-based tools, or implementing AI-assisted analytics workflows

Analytics experience manipulating large datasets to formulate insights and drive solutions

Track record of operating independently, managing ambiguity, and delivering results

Strong communication skills with experience articulating issues to both technical and non-technical audiences

Cross-functional experience, including leading or influencing change through data-driven insights