Data Engineer, Datafold
Migrations
Quality assurance & monitoring platform for data engineers
Open for applications
Quality assurance & monitoring platform for data engineers
21-100 employees
Open for applications
21-100 employees
Company mission
To ensure that no data engineer faces sleepless nights worrying about a hotfix that broke the data or cost their company millions.
Role
Who you are
- 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 (consulting or customer-facing experience is a plus)
- 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
Desirable
- Driving data platform migrations
- Across a broad set of data tools, including BI, (reverse) ETL, orchestration, etc
What the job involves
- We are looking for a Data Engineer to play a key role in strategic customer engagements, leveraging the Datafold Migration Agent (DMA)—an AI-powered tool that’s transforming data migration
- You will be instrumental in accelerating workflow migrations, helping customers transition their data platforms in a fraction of the time and cost
- 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
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Company
Company benefits
- Unlimited PTO
- Co-working budget
- Home office budget
- Flexible working hours
- Parental leave
Funding (last 2 of 3 rounds)
Nov 2021
$20m
SERIES A
Nov 2020
$2.1m
SEED
Total funding: $22.3m
Our take
Data engineering has gone from a buzzword to a mission-critical function in a modern company - that’s resulted in a $2bn data reliability industry that will only continue to grow.
Datafold meets this pressing need with a suite of tools that tackle the most tedious, error-prone and repetitive tasks faced by data engineers. That is, unlike most existing data quality tools, Datafold catches data quality issues before they occur, not once the companies’ services have broken down.
The company is focused on expanding its toolset and enabling even more seamless integrations to onboard more customers. The goal is to be seen as part of a package alongside leading vendors like Snowflake, Databricks, bdt, etc.
Datafold’s product has received praise from enterprise leaders in this emerging field, but the company is facing competition from other venture-backed startups going after the same market. Some, from the ground-up with open-source tools like Great Expectations. Fortunately, there’s room for all to grow for now.
Kirsty
Company Specialist at Welcome to the Jungle