[Remote] Senior Data Engineer at dbt Labs

United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Data & Analytics, Software, BiotechnologyIndustries

Skills

Key technologies and capabilities for this role

Data EngineeringData PipelinesData EcosystemsAnalytics EngineeringData TransformationsSQLPythonCloud Platforms (AWS, GCP, Azure)ETL/ELTData WarehousingData ModelingSoftware Engineering Best Practicesdbt

Questions & Answers

Common questions about this position

What are the key required skills for the Senior Data Engineer role?

The role requires expertise in SQL and Python, 5+ years of data engineering experience, 8+ years total in software engineering, proficiency in Scala, Java, or Rust, strong knowledge of data infrastructure, hands-on experience with orchestration tools like Airflow, Dagster, or Prefect, and a bias for action.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this Senior Data Engineer role remote or does it require office work?

This information is not specified in the job description.

What is the company culture like at dbt Labs?

dbt Labs emphasizes empowering data practitioners through code-based data transformations for transparency, flexibility, and collaboration, with analysts adopting software engineering best practices. The team combines strong technical execution with a bias for impact and cross-functional influence.

What makes a strong candidate for this Senior Data Engineer position?

Strong candidates will have 5+ years in data engineering within 8+ years of software engineering, expertise in SQL, Python, and another language like Scala or Java, experience with orchestration tools, and preferred experience with dbt projects, SaaS environments, or open table formats like Apache Iceberg.

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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