Pay
In line with similar jobs
$140K–$180K against $122K–$190K, the middle half of what similar US postings state.
From 321 postings in the last year. Stated ranges, not salaries paid.
Analytics Engineer
Remote - US · United States
Live, first seen by us 34 days ago- Pay
$140,000–180,000/year — pay source
We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations. Annual salary range: $140,000-$180,000 Compensation Philosophy:
Read the full posting- Work setting
Remote — work setting source
Location type: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Engineering — team source
Department: Engineering
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Will you now, or in the future, require sponsorship (i.e. H-1B visa, etc.) to legally work in the U.S.?
From the employer’s application form
What you’ll work on
Full postingWe are expanding our data team and looking for a analytics engineer to join us.
*Location: SF, NYC, Boston, or Remote U.S.
Build scalable dbt models and business context for self-serve analytics
Ingest data from Salesforce, Stripe, Metronome, Postgres and others into BigQuery
Build dashboards that track progress against company goals and KPIs
Analyze product usage and operational data for customer health, adoption and revenue insights
From the employer’s posting
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.
Build scaleable dbt models and context that describe our business, powering a self-serve analytics experience
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
Benefits in the posting
Full benefits wording- We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations.
- Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
From the employer’s posting.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous.
In the employer’s words · Read in context · Company website ↗
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 3, 202634 days ago
- Recorded sightings
- 64
- Last seen by us
- Nov 6, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 34
Similar jobs usually come down between day 6 and day 48.
From 1,463 similar postings that came down. Coming down is not always a hire.
LangChain is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- BigQuery
- dbt
- Fivetran
- PostgreSQL
Where the posting names them
- 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
- 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
- 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
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
Your next step
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Applying through Ashby
- No account needed. “Autofill from resume” at the top of the form fills the key fields from your file.
Already applied? Track this application
Demand for Analytics Engineer roles
New Analytics Engineer postings at the employers we follow are down 9% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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:
We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations.
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.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BenefitsBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations. Annual salary range: $140,000-$180,000 Compensation Philosophy:
- Location & working pattern
United States
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:
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.