Data Warehouse Engineer

Greenix Pest Control and Exterminator Services • Johnston, RI

3d

About The Position

Greenix Pest Control is seeking a Data Warehouse Engineer to own the raw, bronze, and silver layers of our data platform with some duties in gold layer fact and dim modeling, as part of our migration to Snowflake. This role is responsible for building reliable data ingestion pipelines, orchestrating and monitoring data flows, and ensuring the freshness, quality, and auditability of source data that feeds our analytics and reporting. This role partners closely with the analytics team, who own the dimensional modeling and business-view (gold layer) work built on top of this foundation. The successful candidate will demonstrate attention to detail in pipeline design, a sense of curiosity to build effective solutions and grow their own skills, and an ownership attitude. Your experience as a data warehouse engineer or analytics engineer will be valuable to success in this role.

Join one of the fastest growing businesses in Utah! Greenix has been recognized as one of “Utah’s Fast 50” businesses for 3 years running and named “Utah’s Emerging 8” businesses to watch. We have also been recognized by the Salt Lake Tribune and USA Today as a Top Workplace in 2023 and 2024! By sticking to our core values, we are redefining the pest control service industry.

Building Lasting Relationships
Going Beyond
Creating Opportunities
Doing What Is Right, Always

If our core values resonate with you, we would be excited to add you to our team.

Requirements

• Bachelor's degree in a data/technology field (e.g., economics, computer science, or information systems) OR demonstrated experience in a data warehouse work environment.
• 2–5 years of experience in a data engineering, ETL/ELT, or related analytics engineering role
• Hands-on experience building and maintaining data ingestion pipelines (e.g., Airbyte, Fivetran, Stitch, or custom scripts)
• Experience with pipeline orchestration/scheduling tools (e.g., Orchestra, Airflow, Dagster, Prefect, Azure Data Factory)
• Strong SQL skills, plus working proficiency in Python for scripting and automation
• Experience with a cloud data warehouse (Snowflake preferred, or a comparable platform with willingness to specialize in Snowflake)
• Understanding of data quality, governance, lineage, and monitoring/alerting practices
• Ability to work cross-functionally with analysts and business stakeholders to understand source systems and data needs

Responsibilities

• Build and maintain data ingestion pipelines, including connector development and API integrations for sources not natively supported
• Design, schedule, and monitor data orchestration workflows, ensuring pipelines run reliably and failures are caught early
• Implement source auditing and freshness alerting to proactively identify stale, missing, or malformed data before it reaches downstream consumers
• Write efficient, well-documented Python and SQL for data extraction, transformation, and troubleshooting
• Monitor pipeline health, diagnose root causes of data quality issues, and implement durable fixes
• Maintain the raw, bronze, and silver data layers in Snowflake, ensuring a clean handoff to the analytics team's transformation and modeling work
• Contribute to standards and best practices for pipeline design, testing, version control, and documentation

Benefits

• Medical insurance with subsidized premiums for employees and enrollees.
• Dental, vision, disability, accident, and life insurance options.
• 401(k) retirement program with a company match.
• Employee assistance program (EAP), offering support for emotional, financial, legal, health, or work-related struggles for you and your dependents.
• Paid leave for all of life’s reasons.
• Pest control company discount (if you live within our territory).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level