Remote Staff Data Engineer - AI-Driven Data Platform

Fora Financial; Northern (KY); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Company-subsidized medical, dental, &

Vision plans

401(k) with company match

Generous paid time off

FSA for health and dependent care

Weekly breakfast, snacks, and Friday L

Job summary

Fora Financial is seeking a Staff Data Engineer to lead the platform backbone for governed reporting and trusted AI workflows. This hands-on IC role requires strategic architecture, from ingestion patterns to Snowflake design, while actively building and hardening data pipelines.

You will partner with Analytics, Engineering, and vendors to transform fragmented sources into trustworthy data products, ensuring data quality and operational efficiency. Remote-friendly within the US.

Qualifications

• Deep data engineering judgment: designed, built and operated production platforms, not just pipelines.
• Hands-on depth: seamlessly move from architecture discussions to Python, SQL, deployment scripts, and production debugging.
• Strong ingestion fundamentals: APIs, CDC, backfills, idempotency, schema drift, recovery.
• Snowflake fluency: warehouse design, RBAC, performance tuning, cost controls.
• Data quality discipline: know which checks matter and visibility before users see issues.
• Independent ownership & communication: sequence work, write design docs, align decisions with business outcomes.

Responsibilities

• Architect and own data platform components, from ingestion to governance.
• Implement reliable pipelines with monitoring, alerts, and runbooks.
• Collaborate with Analytics, Engineering, and vendors to convert source systems into trustworthy data products.
• Leverage AI-native tools to automate debugging, testing, and documentation.

Skills

Python

SQL

Data Pipelines

Data Modeling

ETL

Big Data

Tools

Snowflake

Airflow

Fivetran

dbt Cloud

Dagster

Job description

Fora Financial is seeking a Staff Data Engineer to lead the platform backbone for governed reporting and trusted AI workflows. This hands-on IC role requires strategic architecture, from ingestion patterns to Snowflake design, while actively building and hardening data pipelines.

You will partner with Analytics, Engineering, and vendors to transform fragmented sources into trustworthy data products, ensuring data quality and operational efficiency. Remote-friendly within the US.