dbt Labs

Data Engineer

United States

Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Software, Data & Analytics, Cloud ComputingIndustries

Requirements

Candidates must be experts in SQL and Python, possess at least 2 years of experience as a data engineer and 4 years of total software engineering experience, and be proficient in at least one additional core data engineering language like Scala, Java, or Rust. Experience with modern orchestration tools such as Airflow, Dagster, or Prefect, and a bias for action with effective prioritization skills are also required. Experience developing and scaling dbt projects, working in a SaaS or high-growth tech environment, and knowledge of open table formats like Apache Iceberg are considered advantageous.

Responsibilities

The Data Engineer will design, build, and maintain scalable data pipelines using dbt for analytics and operational use cases. They will implement standards for data quality, consistency, and reliability, and optimize query performance while managing compute costs. Responsibilities include enhancing existing systems, collaborating with stakeholders to understand data requirements, building automation into data workflows, and providing product feedback by dogfooding new data infrastructure and AI technology.

Skills

Data Engineering
Data Pipelines
Data Infrastructure
Data Products
Analytics
dbt

dbt Labs

Cloud-based data management platform for analytics

About dbt Labs

GetDBT.com is a cloud-based data management platform that helps companies streamline their data development processes. It allows users to write business logic more efficiently, enhances code reusability, and ensures data quality through testing and governance features. Unlike its competitors, GetDBT.com focuses on scalability and complexity, making it suitable for businesses at various stages of data maturity. The company's goal is to empower organizations to manage their data effectively while providing reliable service through a subscription model.

Philadelphia, PennsylvaniaHeadquarters
2016Year Founded
$403.1MTotal Funding
SERIES_DCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
501-1,000Employees

Benefits

Unlimited Paid Time Off
401(k) Company Match
401(k) Retirement Plan
Health Insurance
Paid Parental Leave
Wellness Program
Home Office Stipend

Risks

Increased competition from Fivetran's integration may lead to customer attrition.
Dbt Mesh's complexity could cause integration challenges for existing users.
New executive appointments may lead to strategic shifts misaligned with customer expectations.

Differentiation

Dbt Labs offers a unique open-source analytics engineering tool for data transformation workflows.
The platform supports SQL-based data modeling, appealing to data analysts and engineers.
Dbt Mesh architecture allows cross-project model referencing, enhancing scalability for complex data needs.

Upsides

Collaboration with Fivetran enhances platform capabilities, attracting more enterprise clients.
Mark Porter's appointment as CTO could drive technological advancements and innovation.
Recent dbt Cloud enhancements improve collaboration, appealing to large teams and enterprises.

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