Senior Data Engineer

D8 LooP; Cottonwood Heights (UT); On-site; USD 120,000 - 160,000; Full time

Job summary

D8 LooP in Cottonwood Heights, UT is seeking a Senior Data Engineer with 4+ years of experience to shape and optimize data pipelines. You will design data models, implement robust pipelines, and ensure data quality for fraud ops reporting and agent performance metrics.

The role focuses on production-grade data infrastructure using modern tools such as Airflow, dbt, and Snowflake, with emphasis on governance and scalable analytics.

Qualifications

• 4+ years of data engineering experience with Python and SQL.
• Experience building production-grade data pipelines using modern data stack tools like Airflow or dbt.
• Strong data modeling skills for analytic structures and reporting.
• Experience modeling analytical data within Snowflake for fraud operations reporting.

Skills

Data pipeline design

Data modeling

Python

SQL

Analytics tooling

Data governance

Snowflake

Tableau

Tools

Airflow

dbt

Snowflake

Tableau

Job description

Cottonwood Heights, Utah, United States Senior 4+ yrs Data Engineer posted 3 d ago

Employee Applicant Privacy Notice Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance.

Skills, with evidence

• Airflow / orchestration Proven experience building and maintaining production‑grade data pipelines using modern data stack tools (dbt, Airflow, or equivalent) must have
• Strong data modeling skills — experience designing analytical data structures optimized for reporting and self‑service consumption must have
• Python 4+ years of data engineering experience with strong hands‑on expertise in SQL, Python, and cloud data warehouse platforms must have
• SQL 4+ years of data engineering experience with strong hands‑on expertise in SQL, Python, and cloud data warehouse platforms must have
• dbt Proven experience building and maintaining production‑grade data pipelines using modern data stack tools (dbt, Airflow, or equivalent) must have
• Governance & security Governance & Standards not practised here
• Warehousing Data Modeling & Warehouse Optimization
• Build and maintain dbt models that structure data for easy consumption by analysts and Tableau reporting layers not practised here
• Strong documentation habits and commitment to data quality, testing, and pipeline reliability
• Model analytical data within Snowflake to support fraud operations reporting, agent performance scorecards and fraud tagging quality monitoring