Remote Senior Data Platform Engineer, Analytics

SpotOn, Inc.; Chicago (IL); Remote; USD 130,000 - 173,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401k Match

RSUs

Paid Vacation

Company Holidays

Sick Leave

Volunteer Time Off

Tuition Reimbursement

Job summary

SpotOn, Inc. is seeking a Senior Platform Engineer - Data (Analytics) to own the analytics platform end-to-end.

You will handle data ingestion from production systems and third-party tools, manage pipelines, and develop robust dbt models used by analysts, finance, product, and power users across the company. You will unify disparate data sources, write reusable code, and ensure data quality and reliability while collaborating with cross-functional teams.

Qualifications

• 5+ years in data/analytics engineering or closely related roles.
• Expert SQL with complex joins, windows, and performance tuning.
• Strong Python for pipelines and automation.
• Deep dbt experience and Snowflake knowledge.
• Solid data modeling fundamentals and scalable design.
• Experience building production pipelines with orchestration and monitoring.
• Ability to communicate clearly with technical and non-technical stakeholders.
• Experience with product analytics and/or financial analytics is a plus.

Responsibilities

• Ingestion & Pipelines: land data from databases and APIs into Snowflake; manage batch/incremental/CDC loads.
• Modeling & Serving: own core dbt models; unify sources into a consistent view; enable self-serve analytics.
• Data Quality, Monitoring & Job Health: define data tests; monitor pipelines; respond to incidents; reconcile data.
• Performance & Cost: tune Snowflake/dbt workloads; monitor spend and optimize.
• Partnership & Leadership: collaborate with analytics, finance, product; mentor and review code; promote best practices.

Skills

SQL

Python

dbt

Snowflake

Data Modeling

Airflow

Data Quality

Communication

Tools

Airflow

dbt

Snowflake

Job description

SpotOn, Inc. is seeking a Senior Platform Engineer - Data (Analytics) to own the analytics platform end-to-end.

You will handle data ingestion from production systems and third-party tools, manage pipelines, and develop robust dbt models used by analysts, finance, product, and power users across the company. You will unify disparate data sources, write reusable code, and ensure data quality and reliability while collaborating with cross-functional teams.