[Remote] Senior Backend Software Engineer II, Orchestration at dbt Labs

United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Analytics Engineering, Data PlatformsIndustries

Requirements

8+ years of experience as a software engineer
Bachelor's degree in a related field (computer science, computer engineering, etc.)
Able to balance speed of delivery with designing and implementing reliable, secure, highly available services
Extensive experience designing micro-services, event driven architecture, APIs (REST and/or gRPC)
Strong knowledge of observability and debugging production issues at scale
Systematic problem-solving approach coupled with strong communication skills and a sense of ownership and drive
Passionate about upholding engineering best practices in all phases of SDLC
Self-starter and can lead a group of engineers from inception to implementation of ideas

Responsibilities

Help shape the future of the orchestration system by designing and implementing reliable, secure, highly available services, and refactoring legacy systems in collaboration with the staff+ engineering group
Work on complex systems and a variety of programming languages and technologies, including: Python, Rust, Go, Postgres, Redis, Kubernetes, AWS, Terraform and Datadog
Collaborate across multiple engineering teams, product management, UX designers, customer support
Act as a mentor to junior engineers, providing guidance on best practices and architectural decisions

Skills

Key technologies and capabilities for this role

Backend EngineeringOrchestrationJob SchedulingService DesignSystem ArchitectureRefactoringHigh AvailabilitySecurity

Questions & Answers

Common questions about this position

What technologies will I work with in this role?

You will work on complex systems using Python, Rust, Go, Postgres, Redis, Kubernetes, AWS, Terraform, and Datadog.

What are the key skills needed for this position?

Key skills include extensive experience designing micro-services, event-driven architecture, and APIs (REST and/or gRPC), strong knowledge of observability and debugging production issues at scale, and a systematic problem-solving approach with strong communication skills.

Is this role remote or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this position?

This information is not specified in the job description.

What does the team environment look like?

The role involves collaborating in a highly dynamic team environment with multiple engineering teams, product management, UX designers, and customer support, while mentoring junior engineers.

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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