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Analytics Engineer

Work from home

Remote role where the employee must remain based in a particular country.

Listed for United States

From the listing details: Residency required in United States

Employer listed it 3 weeks ago · Added 3 weeks ago

Been open since 3 weeks ago, still being checked, but it has been live a while.

Salary

$140k to $180k per year

Location

Listed for United States

Timezone

Not stated

Contract

Full-time

Experience

Mid

Category

Data

Stated by the employer in the job description

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours
Not mentioned in the advert
Where you can work from
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Contract
Not mentioned in the advert
Experience asked for
3+ years experience in a related role (analytics engineer, data engineer, or similar)
Pay
Compensation & Benefits:

Remote flexibility

Work from home

This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.

What the employer says

  • Source listing states candidate location: "Remote - US, Remote"

What Nomaders makes of it

  • Residency required in United States
  • Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Questions worth asking: Nomaders interpretation

  • The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

About Us

At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.

With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.

Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.

About the team:

We are a small but mighty team of three analytics engineers powering LangChain’s internal data infrastructure and analytics. We’re a full-stack team, meaning we work end-to-end across the data stack, from data ingestion to enabling self-serve agentic analytics. Learn more about what we’ve built so far here !

About the role:

We are expanding our data team and looking for a analytics engineer to join us. We build products used by elite companies and over a million developers, and data plays a critical role in sharping our strategies and decision making. In this role you will help lay the foundation for business teams to diagnose issues, uncover opportunities, and drive success using data. If you enjoy building data infrastructure and empowering teams with actionable insights, this role is for you.

*Location: SF, NYC, Boston, or Remote U.S.

What you will do:

Build scaleable dbt models and context that describe our business, powering a self-serve analytics experience

Work with and expand on our foundational data stack — Fivetran, dbt, BigQuery, Hex

Connect data from a variety of sources (Salesforce, Stripe, Metronome, Postgres, etc) into our BigQuery warehouse

Build dashboards that track progress against company goals and KPIs

Analyze product usage and operational data to surface insights around customer health, adoption, and revenue

Develop and leverage a deep understanding of our business metrics to drive alignment and decision-making

What you'll bring:

3+ years experience in a related role (analytics engineer, data engineer, or similar)

Technical proficiency in BigQuery, dbt, Hex, Fivetran, Segment (or similar tools)

Detail oriented, enjoys data spelunking, and can synthesize findings effectively

Curiosity and a strong business sense to help anticipate needs and generate meaningful insights

Start up DNA. You thrive in fast-paced and unstructured environments and are energized by finding out what matters most

You are self-directed - you don’t wait for process or oversight to start making an impact

Compensation & Benefits:

Requirements

  • ·3+ years experience in a related role (analytics engineer, data engineer, or similar)
  • ·Technical proficiency in BigQuery, dbt, Hex, Fivetran, Segment (or similar tools)
  • ·Detail oriented, enjoys data spelunking, and can synthesize findings effectively
  • ·Curiosity and a strong business sense to help anticipate needs and generate meaningful insights
  • ·Start up DNA. You thrive in fast-paced and unstructured environments and are energized by finding out what matters most

Benefits

  • ·Annual salary range: $140,000-$180,000
  • ·Compensation Philosophy:
  • ·We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.

How to apply

  1. 1Check the flexibility label above, work from home, matches where you plan to live and work.
  2. 2Tailor your CV to the role at LangChain, mentioning your remote working experience.
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 22d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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