Senior Data Engineer, dbt Labs

$180-200k

Python
Scala
Java
Airflow
Spark
dbt
Senior and Expert level
Remote in US
dbt Labs

Data transformation tools

Job no longer available

dbt Labs

Data transformation tools

201-500 employees

B2BInternal toolsSaaSData Integration

Job no longer available

$180-200k

Python
Scala
Java
Airflow
Spark
dbt
Senior and Expert level
Remote in US

201-500 employees

B2BInternal toolsSaaSData Integration

Company mission

To empower data practitioners to create and disseminate organizational knowledge.

Role

Who you are

  • Worked asynchronously as part of a fully-remote, distributed team
  • Have 5+ years of experience as a data engineer and 8+ years of any software engineering experience (including data engineering)
  • Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java
  • Strong data infrastructure and data architecture skills
  • Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks
  • Solid understanding of Spark and ability to write, debug and optimize Spark code
  • A bias for action and urgency, not letting perfect be the enemy of the effective
  • A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even it it requires going outside the original job description

Desirable

  • Experience developing and scaling a dbt project while leveraging engineering best practices (e.g. data quality tests, unit tests, etc)
  • Master’s degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Math)
  • Have experience at a SaaS company

What the job involves

  • As a Senior Data Engineer at dbt Labs, you will take the lead in building and owning data infrastructure (e.g. infrastructure, pipelines, data products)
  • This data ecosystem is crucial for powering analyses, guiding business decisions, accelerating growth, and driving efficiency across business operations
  • This team combines strategic, operational, and problem-solving skills with a pragmatic sense of how to get things done and drive change across the organization
  • Design, build and manage our data pipelines, ensuring all user and product event data is seamlessly integrated into our data warehouse
  • Develop canonical datasets to track key product metrics including user growth, engagement, and revenue
  • Work collaboratively with various teams, including Infrastructure, Product, Marketing, Finance, and GTM to understand their data needs and provide solutions
  • Implement robust and fault-tolerant systems for data ingestion and processing
  • Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to the table
  • Ensure the security, integrity, and compliance of data according to industry and company standards

Application process

  • All video interviews unless accommodations are needed
  • Interview with Talent Acquisition Partner
  • Interview with Hiring Manager
  • Team Interviews

Otta's take

Xav Kearney headshot

Xav Kearney

CTO of Otta

In 2018, dbt Labs founder Tristan Handy was running an analytics company and created a data build tool (or ‘dbt’) to help transform data for analysis. Fast forward one year and dbt Labs was born, offering its tools to help companies everywhere transform their data workflows.

Raw data comes in myriad forms and dbt Labs’ software allows data specialists to manage the data transformation layer making its use for analysis much easier. It offers consulting services on top of the software, and has ridden a wave of companies embracing digital transformation more as their services and workplaces become more online.

Seen as the defacto standard for modern analytics engineering by many, it reached unicorn status within 2 years of launch and is focusing future efforts on expanding reach more markets outside of the US. Its recent acquisition of Transform, an analytics engineering company, will aid in further developing its product's data transformation capabilities.

Insights

Top investors

Some candidates hear
back within 2 weeks

14% employee growth in 12 months

Company

Funding (last 2 of 4 rounds)

Feb 2022

$222m

SERIES D

Jun 2021

$150m

SERIES C

Total funding: $414.4m

Company benefits

  • Equity Stake
  • Unlimited vacation
  • 401k w/3% guaranteed contribution
  • Excellent healthcare
  • Paid parental leave
  • Home office stipend

Company values

  • We are a mission-driven company
  • We contribute to the knowledge loop
  • We are more concerned with value creation than value capture
  • Work done well is its own end
  • Transparency always wins
  • We value diversity
  • Users are our best advocates
  • We are humble
  • We optimize for the long-term
  • We work hard and go home
  • We are human
  • We believe in moving up the stack
  • Values are more important than success

Company HQ

West Poplar, Philadelphia, PA

Founders

Previously worked as a Senior Consultant at Deloitte, Director of Operations at Squarespace, COO at Argyle Social and Vp of Marketing at RJMetrics.

Former Software Engineer and Engineering Manager at RJMetrics and Stitch.

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