strongDM
Burlingame, CA
11-50 employees
strongDM makes it unbelievably easy to manage access to all infrastructure: databases, servers, clusters, webapps.
Prior Listings
Data Engineer
Data Engineer
This job is no longer open
strongDM is a customer-first, second, and third company with a rabid fan base. When was the last time you heard things like:
* Splunk's CISO Joel Fulton says "strongDM gives you what you can’t get any other way -- the ability to see what happens, replay and analyze incidents."
* Chef's co-founder Adam Jacob says "strongDM takes the friction out of getting staff access to the systems they need."
Customers love us because:
The product rocks: strongDM fundamentally changes the relationship between InfoSec, DevOps, and end users. Enforce the controls security needs while making it easier to facilitate access.
They can trust us: we built a technical product for technical buyers. We do not use jargon. There is no alternative but to always be technically accurate. We are not afraid to admit product gaps.
We’re real humans: we built a serious product without taking ourselves too seriously. Each member of the team is deadly good at their job, and yet we crack jokes on the phone with customers.
Data at strongDM is unique because…
...you will own the roadmap and shape how data is handled at strongDM. You will be a vital part of the scaling infrastructure at strongDM, responsible for ingesting data from all our different data sources and building a unified data catalog for stakeholders. Our Leadership team is data literate and has a vision for our data platform. We are looking to add a couple data engineers to help realize it!
WHAT YOU’LL DO:
- Build and operate batch and streaming pipelines to ingest data into our warehouse (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)
- Partner with engineers, data analysts, and business stakeholders on building clean and complete data
- Our current tech stack includes dbt, Meltano, s3 and redshift. Where we go next and what we use will be driven by you!
REQUIREMENTS:
- Proficiency in SQL and Python is a must
- 3+ years of experience in a data-heavy engineering role
- Experience working at a tech startup or a high velocity engineering culture
- Previous experience working with dbt, singer taps and Docker is a huge plus
- Familiarity with Apache Iceberg/Tabular, Apache Arrow, Apache Superset is a plus
- Familiarity with Golang and/or Javascript is a plus
COMPENSATION:
- Competitive base (150k-180k) + equity salary packages
- Competitive benefits, including:
- Medical, dental, and vision insurance; premiums 100% paid for by the company for eligible employees and family members
- 401k, short / long-term disability, life insurance
- 6.5 weeks total PTO: vacation time + sick time + paid volunteer time off
- Standard holidays, including Juneteenth and Veteran’s Day
- Stipend for home-office setup and home internet allowance
- Equity in a fast-growing startup
- No travel required
This job is no longer open