Description:

Datafold is a fast-growing, Series A startup focused on data quality and observability, similar to Datadog for data engineers.
The company is backed by top-tier investors including YC, Amplify, and NEA, and serves clients like Disney, FanDuel, and Perplexity.
The position is fully remote, with employees located across the US and EU.
The Data Engineer will play a key role in strategic customer engagements, utilizing the Datafold Migration Agent (DMA), an AI-powered tool for data migration.
Responsibilities include meeting with customers to understand their migration projects, collaborating with Datafold’s Engineering team to assemble an AI migration pipeline, advising on migration strategies, and leveraging the AI migration toolkit for complex pipeline translation and validation.

Requirements:

Candidates must have 5+ years of experience as a Data Engineer.
Advanced mastery of SQL is required.
A strong understanding of key data engineering patterns, including batch orchestration (Airflow, dbt, Dagster, etc.) and streaming pipelines is necessary.
Outstanding communication skills are essential, with consulting or customer-facing experience being a plus.
Familiarity with at least one legacy (Oracle, SQL Server, SAP HANA, Teradata, etc.) or modern (Snowflake, Databricks, BigQuery) data stack is required, along with the ability to quickly learn and understand these systems.
Experience in driving data platform migrations across a broad set of data tools, including BI, (reverse) ETL, and orchestration is preferred.

Datafold is an equal opportunity employer, committed to providing equal employment opportunities to all individuals.
The company strives to create an inclusive and diverse work environment where all employees are valued and unique perspectives are respected and celebrated.