Data Engineer

Analytics at strongDM is unique because we’re a young company that has invested in data efforts early. Our leadership team is data literate and has broad experience building data products and leading analytics functions. And, we have a shared focus on how we expect the data platform to power our business.

Sound good? We’re looking to add a data engineer to the team to help define our strategy, and execute on building everything we need to get there.

What You'll Do:

• Build and operate batch and streaming pipelines to ingest data into a lakehouse (we’re currently using S3+Glue+Athena+Redshift)
• Build and operate full refresh and incremental pipelines to compute derived models (we’re currently using dbt, python+pandas, and Spark)
• Build and operate outbound pipelines to send data in actionable shapes to line-of-business tools
• Curate the datasets in the lakehouse to facilitate analysis, reporting, and self-serve querying (we’re currently using Jupyter and Redash)
• Partner with engineers, data analysts, and business stakeholders on data efforts

Requirements:

• Proficiency in SQL and SQL based modelling tools (we’re using dbt)
• Proficiency in python and pandasverse, and familiarity with Golang, Javascript
• 3+ years of experience in a data-heavy engineering role
• Experience working at a tech startup or other high velocity engineering culture
• A strong ethos for getting things done (we iterate quickly, and pair program daily)

Compensation:

• Industry-standard base
• Medical, dental, and vision insurance
• 401k, HSA, FSA, short/long-term disability, 3 months parental leave
• 3 weeks PTO + standard holidays
• Equity in a fast-growing startup
• No travel required