Analytics Engineer, Data Platform - Build Trusted Data

Upside; Chicago (IL); On-site; USD 149,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Equity

401(k)

Job summary

Upside is seeking an experienced Data Analytics Engineer to own a set of dbt models and data pipelines. You will design, implement, and monitor transformations, turning vague inquiries from Marketing and Product into precise, scalable work.

You’ll collaborate closely with Marketing, Data, and MarTech to create reliable data products and dashboards. You will document design choices, write runbooks, and help coach peers, as the team values clear communication and robust data workflows.

Qualifications

• 3–5 years in data or analytics engineering
• Fluent in SQL with window functions and complex joins
• Experience modeling with dbt and managing data pipelines
• Python proficiency for orchestration and testing
• Ability to explain technical decisions to non-engineers
• Experience with Snowflake or a comparable warehouse

Responsibilities

• Design, build, test, ship and monitor a scoped domain of dbt models with a clear structure
• Turn ambiguous asks from Marketing/Product into scoped work and discuss tradeoffs
• Write the design doc for the features you own and break work into pieces
• Add monitoring and alerting to models to catch problems early
• Take turns on support rotation and debug issues
• Leave runbooks, schema docs, and diagrams for future owners
• Coach engineers earlier in their careers on code review and day-to-day

Skills

SQL

Window functions

Complex joins

Python

dbt models

Snowflake

Dagster

Airflow

AWS

Tools

Snowflake

dbt

Dagster

Airflow

AWS

Job description

Upside is seeking an experienced Data Analytics Engineer to own a set of dbt models and data pipelines. You will design, implement, and monitor transformations, turning vague inquiries from Marketing and Product into precise, scalable work.

You’ll collaborate closely with Marketing, Data, and MarTech to create reliable data products and dashboards. You will document design choices, write runbooks, and help coach peers, as the team values clear communication and robust data workflows.