Data Engineer

Summary

Join Datafold, a rapidly growing data quality and observability startup, as a Data Engineer. You will play a crucial role in strategic customer engagements, utilizing our AI-powered Datafold Migration Agent (DMA) to streamline data platform migrations. This involves collaborating with the engineering team, advising customers, and leveraging DMA to translate and validate complex pipelines. The ideal candidate possesses 5+ years of data engineering experience, advanced SQL skills, and a strong understanding of data engineering patterns. Experience with data platform migrations across various data tools is highly valued. Datafold is a fully remote company with employees across the US and EU.

Requirements

• 5+ years of experience as a Data Engineer
• Advanced mastery of SQL
• Strong understanding of key data engineering patterns, including batch orchestration (Airflow, dbt, Dagster, etc.) and streaming pipelines
• Outstanding communication skills
• Familiarity with at least one legacy (Oracle, SQL Server, SAP HANA, Teradata, etc.) or modern (Snowflake, Databricks, BigQuery) data stack, with the ability to quickly learn and understand the use, purpose, and key differences of these systems

Responsibilities

• Meet with the customer and create an in-depth understanding of their migration project and architecture
• Collaborate closely with Datafold’s Engineering team on assembling an AI migration pipeline
• Advise the customer and Datafold team on the best way to approach migrations
• Leverage Datafold’s AI migration toolkit to perform translation and validation of complex pipelines

Preferred Qualifications

• Consulting or customer-facing experience
• Driving data platform migrations
• Across a broad set of data tools, including BI, (reverse) ETL, orchestration, etc