Data Platform Engineer — Scalable Pipelines & Governance

We Love AI Jobs; New York, Northern (NY, KY); Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

Stock options

Comprehensive benefits

On-site

Job summary

Sigma Computing in New York City is scaling its Data Platform team to build robust data pipelines and governance across Snowflake and Databricks. You will craft scalable ETL workflows, support demo data assets, and collaborate with analytics and infra teams.

The role requires 3+ years in data engineering, a builder mindset, and strong Python and SQL skills to drive reliable data assets for internal use and client demos.

Qualifications

• 3+ years of experience in data engineering or a related field.
• Experience building production data pipelines and collaboration with cross-functional teams.
• Strong knowledge of cloud data platforms and governance practices.

Responsibilities

• Architect and manage production data pipelines in Snowflake and Databricks.
• Build processes to scale demo data assets across cloud data warehouses.
• Partner with infrastructure engineering to ensure high availability of data assets.
• Build and scale data governance policies and procedures.

Skills

Data pipelines & ETL

APIs

Python

Orchestrators (Airflow, Dagster, Astr\

Tools

Snowflake

Databricks

Fivetran

dbt

Hightouch

Metaplane

Job description

Sigma Computing in New York City is scaling its Data Platform team to build robust data pipelines and governance across Snowflake and Databricks. You will craft scalable ETL workflows, support demo data assets, and collaborate with analytics and infra teams.

The role requires 3+ years in data engineering, a builder mindset, and strong Python and SQL skills to drive reliable data assets for internal use and client demos.