refresh

トレンド企業

Trending

採用

Jobsdbt Labs

Senior Software Engineer II

dbt Labs

Senior Software Engineer II

dbt Labs

India - Remote

·

Remote

·

Full-time

·

5d ago

About Us

dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 90,000 teams every week, driving data transformations and AI use cases.

As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers, including Astra Zenica, Sky, Nasdaq, Volvo, Jet Blue, and Safety Culture.

We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:

  • Reliable, high-quality data is the fuel that propels AI-powered data engineering.

  • AI is changing data work, fast. dbt’s data control plane keeps data engineers ahead of that curve.

  • We empower engineers to deliver reliable, governed data faster, cheaper, and at scale.

dbt Labs is now synonymous with analytics engineering, defining the modern data stack and serving as the data control plane for enterprise teams around the world. And we’re just getting started.. We’re growing fast and building a team of passionate, curious people across the globe. Learn more about what makes us special by checking out our values.

About the Role

Analytics is entering an agentic era.

As a Senior Software Engineer on Agentic Automation & ADLC Systems, you will build the autonomous and assisted agents that operate across the Analytics Development Life Cycle (ADLC) — from requirements to deployment to remediation.

These agents don’t just automate tasks. They reason over enterprise context, act on data products, and leave behind decision memory that improves the system over time.

What You’ll Do

  • Build agentic systems that automate analytics workflows across the ADLC

Design and implement agents for:

  • Requirements & intent capture

  • Build & validation

  • Test & deploy

  • Operate, observe, and remediate

  • Orchestrate agent workflows using event-driven triggers

  • Integrate agents with ingestion and transformation workflows

  • Encode governance and decision policies into automation

  • Ensure every agent action is explainable, attributable, observable and auditable

  • Balance autonomy with human-in-the-loop controls

What You’ll Own

  • Agent behavior and orchestration logic

  • ADLC automation workflows, governance expressed as executable logic

  • Agent interaction with the Context Platform

  • Safe auto-remediation and escalation paths, observability and feedback/recovery loops

What You Won’t Own

  • Context storage or schema design

  • Low-level platform security primitives

  • Long-term data durability decisions

(You consume these via the Context Platform.)

What We’re Looking For

  • Strong experience in backend, platform, or systems engineering

  • Experience building automation, workflows, or orchestration systems, familiarity with event-driven architectures

  • Understanding of data/documentation tools, integration nuances, their information systems.

  • Hands-on experience building systems with LLMs or agentic systems (practical, production-minded)

  • Strong intuition for safety, failure modes, and guardrails, AI observability

  • Exposure to working with structured, semi-structured and unstructured data.

Nice to Have

  • Experience with CI/CD or developer tooling

  • Familiarity with analytics engineering or dbt

  • Experience integrating with human workflow tools (GitHub, Slack, Jira, Notion)

  • Background in reliability/resilience engineering

Why This Role Matters

If these agents are built correctly:

  • Analytics workflows accelerate without losing trust

  • Governance becomes proactive, not reactive

  • Humans focus on decisions, not plumbing

This role turns context into action.

dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.

Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page.

dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. RSUs or comparable benefits may be offered depending on the legal or country limitations.

Privacy Notice

  • Supplement to Privacy Notice
  • Californians
  • Supplement to Privacy Notice
  • EEA/UK

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About dbt Labs

dbt Labs

dbt Labs

Series D

Known for the videoconferencing application Zoom.

201-500

Employees

San Jose

Headquarters

$4.2B

Valuation

Reviews

4.1

38 reviews

Work Life Balance

3.6

Compensation

4.6

Culture

4.3

Career

4.2

Management

3.8

83%

Recommend to a Friend

Pros

Cutting-edge technology stack and interesting technical challenges

Opportunities for continuous learning and growth

Flexible remote work options and good work-life balance

Cons

Fast-paced environment with tight deadlines

Internal politics in some teams

Some legacy systems that need modernization

Salary Ranges

22 data points

Junior/L3

Senior/L5

Junior/L3 · Solutions Architect

5 reports

$222,950

total / year

Base

$171,500

Stock

-

Bonus

-

$177,450

$236,600

Interview Experience

64 interviews

Difficulty

3.5

/ 5

Duration

14-28 weeks

Offer Rate

39%

Experience

Positive 62%

Neutral 24%

Negative 14%

Interview Process

1

Phone Screen

2

Technical Interview

3

System Design

4

Behavioral

5

Team Fit

Common Questions

Tell me about a challenging project

System design question

Coding problem

Why this company