7 data warehouse engineer jobs at 7 companies in Layton, UT
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Staff Data Warehouse Engineer
Draper or San Jose or United States
$175k-$209k/yrHybridFull Time
BILLNYSE: BILL: Automated financial operations software for small and midsize businesses.
8+ YOE8+ years data engineering experience, expert SQL and strong Python, experience with dbt/Airflow and modern warehouses (Snowflake/Trino/Starburst), ETL/ELT design, warehouse administration, mentorship, and US work authorization.
Medallion BankNASDAQ: MBNKO: Provides consumer financing for recreational products and home improvements.
2+ YOEDesign, develop, and maintain data warehouse solutions; strong SQL and programming skills; 2+ years coding and SQL server/database administration experience; bachelor's in IT/CS preferred; strong communication.
AcimaNASDAQ: UPBD: Provider of lease-to-own financial solutions for retail consumers.
8+ YOE8+ years in data engineering, 2+ years warehouse data modeling and pipeline design; strong Python, SQL, REST API, Snowflake (or similar), and Linux experience; strong communication and cross-functional collaboration skills.
Python, SQL, REST API, Linux, Snowflake, Copilot, generative AI
PatternNASDAQ: PTRN: Helps brands grow sales on global ecommerce marketplaces using AI.
7+ YOE7+ years data engineering; 5+ years SQL; 4+ years Python; 3+ years data warehouses (Snowflake/BigQuery/Redshift); ETL/ELT; open-source frameworks.
Neighbor: Peer-to-peer marketplace for self-storage and vehicle parking.
5+ years software engineering experience including 3+ years in data/analytics engineering; BS or equivalent; expert SQL; experience with data lakes/warehouses, ETL/ELT, BI tools; strong stakeholder collaboration and quantitative analysis skills.
Epicor: Provides industry-specific enterprise software for manufacturing and distribution.
2+ YOE2–3+ years in data engineering or related field, strong SQL, experience with data pipelines/warehouses/lakes, bachelor's or equivalent, strong communication and problem-solving; Azure and Python/PySpark experience preferred.
SQL, Microsoft Azure, Azure SQL, Azure Data Lake, PySpark, Apache Spark, Python, Azure AI, Hugging Face
Gabb: Kid-safe mobile devices and wireless service for families
2+ YOE2–4 years in analytics engineering or marketing analytics; strong SQL, dbt, and modern data warehouse experience; BI/dashboarding (Looker/Tableau/Mode/Metabase); GA4 and ad platform familiarity; Python/pandas a plus.