Data Engineer I

Sorrelwright Labs needs someone who writes solid SQL and Python and treats pipelines like production software. This role is remote. Please make sure you have a quiet place to work and a solid internet connection.

Responsibilities:

• Design table layouts and partitioning for Parquet, Delta Lake or Iceberg
• Maintain CI for data code and review pull requests
• Tune slow queries and expensive jobs
• Process large datasets with Spark on Databricks or EMR
• Document datasets and lineage in a catalog such as DataHub or Atlan

Skills and experience:

• 0-2 years of data engineering, or backend work with data at volume
• Experience with a cloud data warehouse (Snowflake, BigQuery, Redshift or Synapse)
• Familiarity with Git, CI/CD and testing practices for data code
• Understanding of dimensional modeling and slowly changing dimensions
• Patience with messy source data and the habit of documenting assumptions
• Working knowledge of AWS, GCP or Azure data services

Pluses:

• Reverse ETL tools like Hightouch or Census
• Kafka, Flink or Spark Structured Streaming

Benefits:

• Referral program
• Flexible schedule

A bit about us:

We make a web-based inventory and purchasing system used by independent restaurants, breweries and small food manufacturers. Since 2009, the company has sold practice management software to dental and veterinary clinics in the US.

EOE. We participate in E-Verify.

Duration: 9 months. Start: Flexible.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Sorrelwright Labs.