Data Engineer (Mid Level)

Overview

Mid-level Data Engineer role owning ETL pipelines, data warehouse work and audit-related data engineering in Skillz's inherited BI estate.

What you'll do

• Own the assigned ETLs in the inherited BI estate, including their schedules, their Snowflake cost and the governed deployment path that replaces manual deployment.
• Implement BI and accounting work in the data lake from Analytics specifications through the five-step process, starting with roll-up tables and transaction verification.
• Handle the data engineering side of audit and SOX requests, including Snowflake and Airflow user lists, quarterly attestation evidence and finance table changes.
• Release and support owned pipelines end to end, including on-call, with no dependency on US-based teams.

What you'll need

• BA / BS in Computer Science or related technical field, or equivalent practical experience.
• 3+ years Data Engineering experience.
• Strong proficiency in SQL and Python.
• Hands-on production experience with data warehouses (e.g., Snowflake).
• Built out ETL and ELT pipelines using tools like Debezium, DMS, Streamsets, or DBT.
• Experience with job orchestration tools such as Airflow and Jenkins.
• Data stream processing with tools such as Kafka, Spark, or Flink.
• Off hours on-call experience.
• Experience with recognized industry patterns, methodologies, and techniques.

Nice to have

• Strong Java experience.
• Built out segmentation platforms.
• Supported Business Intelligence, Finance or User Acquisition functions.
• ML experience.

Details

• Location: Bengaluru, Karnataka, India.