Senior Data Platform Engineer - Remote, Data as Product

Speedrun Talent Network; Chicago (IL); Remote; USD 130,000 - 173,000; Full time

Benefits offered by this job

Medical, Dental and Vision Insurance

401k with company match

RSUs

Paid vacation

10 company holidays

Sick time

Volunteer time off

Employee Resource Groups

Monthly cell phone and internetstipend

Tuition reimbursement

Job summary

SpotOn is seeking a Senior Platform Engineer - Data (Analytics) to own the analytics platform end to end, from data ingestion to core dbt models used by analysts, finance, product, and power users across the company.

You will unify data across multiple POS platforms, payments, and SaaS products, design durable data products, ensure data quality, and mentor others in SQL, modeling, and testing practices.

Qualifications

• 5+ years in data engineering, analytics engineering, or closely related role.
• Expert SQL: complex joins, window functions, performance tuning.
• Strong Python for pipelines, automation, tooling.
• Deep hands-on experience with dbt and Snowflake.
• Experience with orchestration (Airflow) including monitoring and on-call ownership.
• Data modeling fundamentals: dimensional modeling, grain, slowly changing dimensions.
• Experience supporting product analytics and/or financial analytics.
• Clear communication with technical and non-technical stakeholders.

Responsibilities

• Ingestion & Pipelines: Build and operate pipelines landing data from production databases, SaaS tools, and third-party APIs into Snowflake.
• Orchestrate batch and incremental workloads in Airflow with appropriate load patterns.
• Onboard new sources with contracts for schema, freshness, and ownership.

Skills

SQL

Python

dbt

Snowflake

Airflow

Data modeling

Data quality

Product analytics

Finance analytics

communication

Tools

dbt

Snowflake

Airflow

Job description

SpotOn is seeking a Senior Platform Engineer - Data (Analytics) to own the analytics platform end to end, from data ingestion to core dbt models used by analysts, finance, product, and power users across the company.

You will unify data across multiple POS platforms, payments, and SaaS products, design durable data products, ensure data quality, and mentor others in SQL, modeling, and testing practices.