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
Data source
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