Data Engineer

| Remote (Usa)

Date listed

2 weeks ago

Employment Type

Full time

Remote

Yes

Found on:

Responsive image Github

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

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