analytics engineer

LINDY

<div><p><b>About Lindy</b></p><p>
Lindy is building the AI assistant for everyone else &mdash; not the tinkerers, not the builders, but the people who just want their day back. Lindy Assistant lives in iMessage, handles email, calendar, and meetings, and takes two minutes to set up. We're building the layer between powerful AI models and real people's lives.</p><p>
As Lindy's Data Engineer, you'll work closely with senior leadership (Lindy's CEO, GTM leads, and Head of Engineering) to uncover critical business insights from many sources of in-the-wild data (product analytics, BI/revenue information, customer reports, etc.). You'll be responsible for the end-to-end lifecycle of data, working closely with product and engineering to define key analytics metrics, combining that data into actionable insights, and communicating and disseminating those insights to leadership and across the company.</p><p>
You'll also be in the driver's seat of our data infrastructure, iterating on Lindy's ETL pipelines, transformed tables, and other fundamental data engineering infrastructure. You'll be collaborating closely with Lindy's Head of Engineering and Director of Ops &amp; Analytics in this capacity. At Lindy, you can expect an environment with little process and high empowerment, paired with high expectations and a strong sense of urgency.</p><p></p><p><b>
We are an in-office company, working from our downtown San Francisco office 4 days a week. We sponsor visas and cover relocation costs up to $20,000.</b></p><p></p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><p><b>
Data Infrastructure:</b></p><ul><li><p>
Design and implement scalable ETL pipelines that handle product analytics, customer usage data, and business metrics</p></li><li><p>
Build reliable data warehousing solutions that support both real-time and batch processing needs</p></li><li><p>
Create automated data quality monitoring and alerting systems</p></li></ul><p><b>
Analytics &amp; Insights:</b></p><ul><li><p>
Develop comprehensive dashboards and reporting systems that track key business and product metrics</p></li><li><p>
Collaborate closely with the founder/CEO, PMs, and engineering team to understand customer behavior, product performance, and business health</p></li><li><p>
Identify opportunities to improve lagging metrics across customer acquisition, retention, product adoption, and revenue. Design and implement initiatives to address them</p></li><li><p>
Partner with product and engineering teams to instrument new features with proper analytics tracking</p></li></ul><p><b>
Data Strategy:</b></p><ul><li><p>
Establish frameworks for experimentation and A/B testing across our product</p></li><li><p>
Build self-service analytics capabilities that empower non-technical teams</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Must haves</b></h2><ul><li><p>
2+ years of data engineering or data analytics experience (building production data pipelines and analytics infrastructure)</p></li><li><p>
Expert-level SQL skills and experience with modern data warehouses (Snowflake, BigQuery, or similar)</p></li><li><p>
Hands-on experience with ETL tools (Fivetran, Airbyte, or custom solutions) and data transformation frameworks (dbt)</p></li><li><p>
Proficiency with BI tools (Tableau, Looker, or similar) and advanced spreadsheet analysis</p></li><li><p>
Track record of working independently and delivering high-impact projects with minimal oversight</p></li><li><p>
Excitement to work in-person 4 days a week from our downtown San Francisco office</p></li><li><p>
The technical skills of a data-oriented engineer who can build and maintain data infrastructure</p></li><li><p>
The strategic thinking of a business strategist who can identify and communicate our business' most pressing questions</p></li><li><p>
The analytical capabilities of a data analyst who can turn questions and data into insights</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Nice to have</b></h2><ul><li><p>
Experience with product analytics tools (PostHog, Mixpanel, Amplitude)</p></li><li><p>
Python/JavaScript proficiency for custom analysis and automation</p></li><li><p>
Background in statistics, data science, or machine learning</p></li><li><p>
Previous experience at high-growth B2B SaaS companies</p></li><li><p>
Familiarity with AI/ML product metrics and experimentation</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Compensation and Benefits</b></h2><ul><li><p>
Base Salary Range $150K-$185K + equity</p></li><li><p>
Comprehensive health coverage</p></li><li><p>
$20K relocation assistance and visa sponsorship</p></li><li><p>
High autonomy and direct collaboration with leadership</p></li><li><p>
The fun of working at a no-nonsense 30-person startup that just wants to build an amazing product and business</p></li></ul></div>

Data Engineer

Uber

<div><b>About the Role (Not an intern role)</b>
<br>
<br>
We are looking for a passionate, hands-on Software Engineer to join Uber's BI &amp; Analytics team, which powers one of the largest business intelligence platforms in the industry. Our team owns the core BI ecosystem and is building the next generation of analytics products with a strong focus on AI-powered experiences, efficiency, and scalability.<br>
<br>
This platform enables data-driven decision-making across Uber's core businesses, including Rides, Eats, Freight, and Risk. We are actively investing in AI-assisted analytics, such as intelligent query generation, automated insights, and conversational interfaces for data.<br>
<br>
As an L4 engineer, you will contribute to building and scaling backend systems, data services, and user-facing analytics capabilities, while collaborating closely with experienced engineers and partner teams. The Analytics Ecosystem:<br>
<ul><li>
Serves 10,000+ weekly active users</li><li>
Processes 3.5M+ queries per week</li><li>
Supports engines such as Presto, Spark, and MySQL</li><li>
Powers tools like uMetric, Bullseye, Enterprise Reports, Looker, and Tableau</li></ul><br>
What the Candidate Will Do -<br>
<ul><li>
Design and build end-to-end BI ecosystem solutions encompassing query creation, governance, optimization, execution, analytic extraction, and visualization, enhanced with AI-assisted features.</li><li>
Contribute to AI-powered BI features, such as query assistants, anomaly detection, and intelligent insights</li><li>
Develop and optimize core components of BI ecosystem, core engines, and services that power data-driven decision-making at scale.</li><li>
Design and implement distributed, low-latency algorithms for interactive and large-scale data processing.</li><li>
Optimize performance of cloud-based SQL BI solutions, with a focus on scalability and user experience.</li><li>
Collaborate with cross-functional teams to deliver impactful data solutions</li></ul><br>
- Basic Qualifications -<br>
<ul><li>
Bachelor's degree in Computer Science or related field.</li><li>
4+ years of experience building BI products and large scale distributed software systems.</li><li>
Solid understanding of Java/GO/Python for backend / systems software development.</li></ul><br>
- Preferred Qualifications -<br>
<ul><li>
MS in Computer Science, Artificial Intelligence, or a related field.</li><li>
Experience managing production systems with strong availability SLAs.</li><li>
Experience with cloud-based data platforms such as Snowflake, Redshift, or BigQuery.</li><li>
Proficient in BI tools, SQL compiler development, and query plan/runtime optimization.</li><li>
Fluency in Go, Python, and SQL</li><li>
Deep understanding of query planning, optimization techniques, and performance tuning.</li><li>
Experience developing or integrating AI/ML models into data and analytics workflows.</li><li>
Familiarity with conversational AI, AI-driven BI, or intelligent assistants for analytics use cases.</li><li>
Experience designing and implementing frontend/UI components, especially for data-centric applications.</li></ul><br>
For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Software Engineer II - BI and AI Analytics for Data platform

Cognition

<div><h2 class="jobSectionHeader"><b>We are an applied AI lab building end-to-end software agents.</b></h2><p>
We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.</p><p>
Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.</p><p>
Building Devin and Windsurf is just the first step&mdash;our hardest challenges still lie ahead. If you&rsquo;re excited to solve some of the world&rsquo;s biggest problems and build AI that can reason on real-world tasks, apply to join us.</p><h2 class="jobSectionHeader"><b>
About the Role</b></h2><p>
We&rsquo;re hiring a Data Engineer to help own our data stack &mdash; from database architecture and pipelines to integrations and reporting. You&rsquo;ll design and maintain the systems that keep our data reliable, accessible, and actionable across the Finance and Accounting organization.</p><p><b>
In this role you will:</b></p><ul><li><p>
Design and manage database architecture and data models with a focus on finance and accounting use cases</p></li><li><p>
Build and maintain ETL/ELT pipelines and orchestration workflows</p></li><li><p>
Create and manage data integrations across internal and external financial systems</p></li><li><p>
Partner with Finance and Accounting teams to build auditable, automated reporting systems, dashboards, and datasets</p></li><li><p>
Support close processes, FP&amp;A workflows, and revenue reporting through scalable data infrastructure</p></li><li><p>
Own business reporting: datasets, dashboards, metrics, and self-serve analytics</p></li><li><p>
Ensure data quality, observability, governance, and documentation</p></li></ul><p></p><p><b>
Requirements for the role:</b></p><ul><li><p>
5+ years in a data engineering, analytics engineering, or a full-stack data role</p></li><li><p>
Expert SQL and strong Python (or R)</p></li><li><p>
Experience with data modeling, warehouse architecture, and BI-oriented schema design</p></li><li><p>
Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)</p></li><li><p>
Experience building or maintaining BI reporting (Metabase a plus)</p></li><li><p>
Proven track record collaborating with finance stakeholders to deliver impactful solutions</p></li><li><p>
Experience with FP&amp;A processes, close workflows, and financial reporting</p></li><li><p>
Familiarity with GAAP vs. non-GAAP reporting and revenue recognition concepts</p></li><li><p>
Based in SF and willing to be in office 5 days a week</p></li></ul></div>

Data Engineer - Finance

Cognition AI

<div><div><p>Location</p><div>
San Francisco Bay Area</div></div><div><p>
Employment Type</p><div>
Full time</div></div><div><p>
Location Type</p><div>
On-site</div></div><div><p>
Department</p><div>
General &amp; Administrative</div></div></div>
<br><div><div><div><b>We are an applied AI lab building end-to-end software agents.</b></div><p>
We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.</p><p>
Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.</p><p>
Building Devin and Windsurf is just the first step&mdash;our hardest challenges still lie ahead. If you&rsquo;re excited to solve some of the world&rsquo;s biggest problems and build AI that can reason on real-world tasks, apply to join us.</p><p></p><p><b>
About the Role</b></p><p>
We&rsquo;re hiring a Data Engineer to help own our data stack &mdash; from database architecture and pipelines to integrations and reporting. You&rsquo;ll design and maintain the systems that keep our data reliable, accessible, and actionable across the Finance and Accounting organization.</p><p><b>
In this role you will:</b></p><ul><li><div>
Design and manage database architecture and data models with a focus on finance and accounting use cases</div></li><li><div>
Build and maintain ETL/ELT pipelines and orchestration workflows</div></li><li><div>
Create and manage data integrations across internal and external financial systems</div></li><li><div>
Partner with Finance and Accounting teams to build auditable, automated reporting systems, dashboards, and datasets</div></li><li><div>
Support close processes, FP&amp;A workflows, and revenue reporting through scalable data infrastructure</div></li><li><div>
Own business reporting: datasets, dashboards, metrics, and self-serve analytics</div></li><li><div>
Ensure data quality, observability, governance, and documentation</div></li></ul><p></p><p><b>
Requirements for the role:</b></p><ul><li><div>
5+ years in a data engineering, analytics engineering, or a full-stack data role</div></li><li><div>
Expert SQL and strong Python (or R)</div></li><li><div>
Experience with data modeling, warehouse architecture, and BI-oriented schema design</div></li><li><div>
Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)</div></li><li><div>
Experience building or maintaining BI reporting (Metabase a plus)</div></li><li><div>
Proven track record collaborating with finance stakeholders to deliver impactful solutions</div></li><li><div>
Experience with FP&amp;A processes, close workflows, and financial reporting</div></li><li><div>
Familiarity with GAAP vs. non-GAAP reporting and revenue recognition concepts</div></li><li><div>
Based in SF and willing to be in office 5 days a week</div></li></ul></div></div><p></p>

Embedding VC

<div><h3 class="jobSectionHeader"><b>About OpenArt</b></h3><p>
OpenArt is an AI Storytelling and Visual Creation Platform used by millions worldwide. We&rsquo;re building the next generation of creative tools powered by cutting-edge AI, enabling anyone to create videos, visuals, characters, and stories with unprecedented speed and imagination. We believe the future of creativity is AI-native, and we&rsquo;re shaping that future.</p><h3 class="jobSectionHeader"><b>
Why Join OpenArt</b></h3><ul><li><p>
Own the <b>entire data foundation</b> of a fast-scaling AI company &mdash; from raw data to executive metrics.</p></li><li><p>
Build from 0 1 &mdash; define the architecture that powers product, finance, and company-wide decision making.</p></li><li><p>
High visibility and impact &mdash; your work directly informs leadership, product direction, and company strategy.</p></li><li><p>
Founder-led, fast-moving culture &mdash; high ownership, low process, high trust.</p></li><li><p>
AI-native company &mdash; help define how data supports AI systems, agents, and long-term intelligence.</p></li><li><p>
7&ndash;10X revenue growth over the past 2 years &mdash; now scaling the data layer to match.</p></li></ul><h3 class="jobSectionHeader"><b>
About the Role</b></h3><p>
We&rsquo;re looking for a <b>Founding Data Engineer</b> to <b>build and own OpenArt&rsquo;s core data platform and source of truth</b>, supporting product, finance, and leadership decision-making.</p><p>
This is a <b>0 1 role</b> focused on <b>data reliability, modeling, and long-term scalability</b> &mdash; not just analytics or dashboarding.</p><p>
You will define how data is structured, validated, and served across the company &mdash; ensuring that key metrics are <b>consistent, trusted, and production-grade</b>.</p><p>
You&rsquo;ll work closely with the Head of Data, engineering, and leadership to establish a robust data foundation that scales with the company.</p><h3 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h3><ul><li><p>
Design and build <b>core data pipelines</b> (e.g., product events, payments, internal systems BigQuery)</p></li><li><p>
Define and maintain the <b>data warehouse architecture</b>, including schema design, data modeling, and table structure</p></li><li><p>
Establish and own the <b>single source of truth (SOT)</b> for product and business metrics</p></li><li><p>
Build and maintain <b>core data models</b> (user, subscription, revenue, engagement, etc.)</p></li><li><p>
Ensure <b>data consistency across systems</b> (product analytics, billing, internal tools)</p></li><li><p>
Lead <b>data reconciliation efforts</b> (e.g., Stripe vs internal systems vs reporting)</p></li><li><p>
Implement <b>data quality checks, validation, and monitoring systems</b></p></li><li><p>
Build <b>reliable reporting layers</b> used by leadership and finance (not ad hoc dashboards)</p></li><li><p>
Establish <b>data standards and contracts</b> (event naming, schema governance, tracking consistency)</p></li><li><p>
Partner with engineering to improve <b>instrumentation and data correctness at source</b></p></li><li><p>
Support downstream teams (analytics, DS) by providing <b>clean, well-documented datasets</b></p></li><li><p>
Continuously improve <b>data reliability, performance, and cost efficiency</b></p></li></ul><h3 class="jobSectionHeader"><b>
What We&rsquo;re Looking For</b></h3><p><b>
Core Requirements</b></p><ul><li><p>
5+ years of experience in <b>data engineering or analytics engineering</b></p></li><li><p>
Proven experience building <b>data platforms or warehouses from 0 1</b></p></li><li><p>
Strong SQL and Python &mdash; you write <b>clean, production-quality data code</b></p></li><li><p>
Deep expertise in <b>data modeling, ETL/ELT design, and warehouse architecture</b></p></li><li><p>
Experience with modern data stack:</p><ul><li><p>
BigQuery / Snowflake / Redshift</p></li><li><p>
dbt or similar transformation tools</p></li><li><p>
Workflow orchestration tools (Airflow / Prefect or similar)</p></li></ul></li><li><p>
Experience working with <b>financial and product data</b> (e.g., payments, subscriptions, usage data)</p></li><li><p>
Strong understanding of <b>data reliability, testing, and validation</b></p></li><li><p>
Ability to translate business definitions into <b>durable, consistent data models</b></p></li><li><p>
High ownership &mdash; you can define and drive architecture decisions independently</p></li><li><p>
Comfortable operating in <b>ambiguous, fast-moving environments</b></p></li></ul><p><b>
Nice to Have</b></p><ul><li><p>
Experience building <b>data systems for finance or revenue reporting</b></p></li><li><p>
Experience with <b>data reconciliation across multiple systems</b></p></li><li><p>
Familiarity with BI tools (Metabase, Looker, etc.)</p></li><li><p>
Experience designing <b>semantic layers or metric definitions</b></p></li><li><p>
Prior experience as an early or founding data hire</p></li></ul><h3 class="jobSectionHeader"><b>
Tech Stack You&rsquo;ll Work With</b></h3><p>
BigQuery, dbt (or similar), Airbyte/Fivetran (or custom pipelines), Metabase, Amplitude, Stripe, Python, SQL, GCP</p><h3 class="jobSectionHeader"><b>
Compensation</b></h3><ul><li><p>
Competitive base salary and bonus program</p></li><li><p>
Equity &mdash; meaningful ownership in what you build</p></li><li><p>
High autonomy, high growth environment</p></li></ul><h3 class="jobSectionHeader"><b>
Work Setup</b></h3><ul><li><p>
Bay Area preferred (hybrid allowed)</p></li><li><p>
Visa sponsorship available</p></li><li><p>
We&rsquo;ll consider remote</p></li></ul></div>

Founding Data Engineer (Core Data Platform)

<div><h3 class="jobSectionHeader"><b>About OpenArt</b></h3><p>
OpenArt is an AI Storytelling and Visual Creation Platform used by millions worldwide. We&rsquo;re building the next generation of creative tools powered by cutting-edge AI, enabling anyone to create videos, visuals, characters, and stories with unprecedented speed and imagination. We believe the future of creativity is AI-native, and we&rsquo;re shaping that future.</p><h3 class="jobSectionHeader"><b>
Why Join OpenArt</b></h3><ul><li><p>
Own the <b>measurement and attribution layer</b> of a fast-scaling AI company.</p></li><li><p>
Direct impact on growth &mdash; your work drives acquisition efficiency and revenue.</p></li><li><p>
Work across product, marketing, and data &mdash; highly cross-functional role.</p></li><li><p>
Build from 0 1 &mdash; define how we track, attribute, and optimize growth.</p><p>
High ownership, low process, fast iteration environment.</p></li><li><p>
7&ndash;10X revenue growth over the past 2 years &mdash; now scaling growth infrastructure.</p></li></ul><h3 class="jobSectionHeader"><b>
About the Role</b></h3><p>
We&rsquo;re looking for a <b>Growth Data Engineer</b> to <b>build and own OpenArt&rsquo;s marketing data and attribution systems</b>, ensuring that all acquisition and lifecycle efforts are accurately measured and optimized.</p><p>
This role sits at the intersection of <b>data engineering, marketing tech, and analytics</b> &mdash; focused on making sure that data flows reliably between product, warehouse, CRM, and ad platforms.</p><p>
You will be responsible for ensuring that every marketing dollar is measurable, attributable, and optimizable &mdash; from first touch to revenue.</p><h3 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h3><ul><li><p>
Build and maintain <b>marketing attribution systems</b> (UTM tracking, user journey, conversion mapping)</p></li><li><p>
Implement and manage <b>1st-party data passback to ad platforms</b> (e.g., conversions, revenue, LTV signals)</p></li><li><p>
Configure and maintain <b>tracking infrastructure</b>:</p><ul><li><p>
GTM (client + server-side)</p></li><li><p>
Google Ads (Enhanced Conversions)</p></li><li><p>
Meta Pixel + Conversions API</p></li><li><p>
LinkedIn, TikTok, and other ad platforms</p></li></ul></li><li><p>
Set up and maintain <b>conversion events and schemas</b> across platforms</p></li><li><p>
Ensure <b>consistent event definitions and naming</b> across product, CRM, and ad platforms</p></li><li><p>
Build and manage <b>audience sync pipelines</b></p></li><li><p>
Integrate <b>CRM and warehouse data into ad platforms</b> for optimization (offline conversions, lead stages, revenue)</p></li><li><p>
Operationalize <b>new marketing experiments</b> (UTMs, tracking parameters, campaign setup)</p></li><li><p>
Debug and resolve <b>tracking and attribution discrepancies</b> across systems (e.g., Ads vs CRM vs warehouse)</p></li><li><p>
Build and validate <b>marketing and pipeline dashboards</b>, ensuring data accuracy and consistency</p></li><li><p>
Implement <b>privacy-safe tracking practices</b> (Consent Mode, CMP integrations)</p></li><li><p>
Partner closely with growth, product, and data teams to ensure measurement supports decision-making</p></li></ul><h3 class="jobSectionHeader"><b>
What We&rsquo;re Looking For</b></h3><p><b>
Core Requirements</b></p><ul><li><p>
3&ndash;5 years of experience in <b>growth data, marketing data engineering, or analytics engineering</b></p></li><li><p>
Strong hands-on experience with:</p><ul><li><p>
GTM, pixels, conversion APIs</p></li><li><p>
Ad platforms (Google Ads, Meta, etc.)</p></li></ul></li><li><p>
Experience implementing <b>conversion tracking and attribution systems</b></p></li><li><p>
Experience sending <b>offline conversions / LTV signals back to ad platforms</b></p></li><li><p>
Familiarity with <b>data pipelines and warehouse concepts</b> (BigQuery, SQL, ETL/ELT)</p></li><li><p>
Strong SQL skills; comfortable working with data directly</p></li><li><p>
Strong debugging skills &mdash; able to systematically investigate and resolve data discrepancies</p></li><li><p>
Comfortable working cross-functionally with marketing, product, and data teams</p></li><li><p>
High ownership, fast execution, and strong attention to detail</p></li></ul><p><b>
Nice to Have</b></p><ul><li><p>
Experience supporting <b>performance marketing teams</b></p></li><li><p>
Familiarity with:</p><ul><li><p>
Attribution models (last-click, MTA, probabilistic vs deterministic)</p></li><li><p>
Privacy frameworks (SKAN, ATT, Privacy Sandbox)</p></li></ul></li><li><p>
Experience with mobile attribution tools (AppsFlyer, Adjust, Branch)</p></li><li><p>
Experience with experimentation and A/B testing frameworks</p></li><li><p>
Experience in consumer product, marketplaces, or e-commerce</p></li><li><p>
Basic Python or scripting for automation</p></li></ul><h3 class="jobSectionHeader"><b>
Tech Stack You&rsquo;ll Work With</b></h3><p>
GTM, Google Ads, Meta Ads, TikTok Ads, BigQuery, Metabase, Amplitude, Stripe, SQL, GCP</p><h3 class="jobSectionHeader"><b>
Compensation</b></h3><ul><li><p>
Competitive base salary and bonus program</p></li><li><p>
Equity &mdash; meaningful ownership in what you build</p></li><li><p>
High autonomy, high growth environment</p></li></ul><h3 class="jobSectionHeader"><b>
Work Setup</b></h3><ul><li><p>
Bay Area preferred (hybrid allowed)</p></li><li><p>
Visa sponsorship available</p></li><li><p>
We&rsquo;ll consider remote</p></li></ul></div>

Growth Data Engineer

Airtable

<div><div><p>Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.</p></div><p>
Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.</p>
<p>
At Airtable, we're passionate about democratizing software creation &mdash; empowering anyone to build powerful, flexible tools without writing code. With our shift to an AI-native platform, customers can now generate full apps and deploy AI agents directly into their workflows. Data engineering plays a critical role in this evolution by delivering the insights our teams rely on to improve user experience, measure agent impact, and understand how the business is performing at scale.</p>
<p>
As a Software Engineer, Data at Airtable, you'll make an enormous contribution to our data engineering efforts. You'll design and own mission-critical data pipelines to enable decision-making, partner with company leaders to create scalable data solutions, and launch innovative alerting and visualization solutions.</p>
<h2 class="jobSectionHeader"><b>
The Teams</b></h2>
<p>
We're hiring across two pods. Both teams work closely with Data Science and Analytics and are central to how Airtable understands itself as a business. You'll find your fit based on where your interests and experience align. And uniquely: the platform you're measuring and building on is the same one your customers use every day. When Airtable ships a new AI agent capability, you're among the first to instrument it, understand its adoption, and help shape what comes next.</p>
<p><b>
Product &amp; AI Data Infrastructure</b> This team builds and owns the foundational data pipelines that power product analytics across Airtable. As Airtable shifts to an AI-native platform, our work increasingly involves instrumenting and measuring AI product usage, building event pipelines for AI agents, surfacing AI-native adoption metrics in core business tables, and developing AI-powered data discovery tooling, including vector search over our catalog metadata. We partner closely with product analytics, product engineering, and data infrastructure to turn business questions into well-modeled, trustworthy data.</p>
<p><b>
GTM &amp; Business Data Engineering</b> This team owns the datasets that power go-to-market and business operations at Airtable. We build and govern the business critical pipelines and core tables used to report AI usage metrics across the company, create and maintain data models that support RevOps, Marketing, and BizTech stakeholders, and increasingly leverage AI tools, including writing Claude skills and incorporating AI context guidance, to accelerate and enhance our day-to-day pipeline work. If you're energized by working at the intersection of clean data architecture and cross-functional business impact, this is your team.</p>
<h1 class="jobSectionHeader"><b>
What you'll do</b></h1>
<ul><li>Work across our engineering organization and stakeholders from data science, growth, sales, marketing, and product to understand the data needs of the business and produce pipelines, data marts, and other solutions that enable better decision-making.</li>
<li>Design and maintain our foundational business tables in order to simplify analysis and reporting across the entire company, including AI usage metrics surfaced to executive stakeholders.</li>
<li>Use AI tools as a daily part of how you work, from LLM-assisted pipeline development and debugging to exploring our catalog through AI-powered discovery, and bring a curiosity for where this tooling is heading next.</li>
<li>Build and enforce a pattern language across our data stack, ensuring pipelines and tables are consistent, accurate, and well-understood.</li>
<li>Continue to improve the performance and reliability of our data warehouse.</li>
<li>Partner with data scientists, analytics engineers, and business stakeholders to translate ambiguous business questions into well-scoped data solutions.</li>
</ul><h1 class="jobSectionHeader"><b>Who you are</b></h1>
<ul><li>You have 3-8+ years of professional experience designing, creating, and maintaining scalable data pipelines, preferably in Airflow.</li>
<li>You've wrangled enough data to understand how often the complex systems that produce it can go wrong, and you build with that in mind.</li>
<li>You are proficient in at least one programming language (preferably Python) and are willing to pick up others as the work demands.</li>
<li>You are highly effective with SQL and understand how to write and tune complex queries.</li>
<li>You're genuinely curious about how AI is reshaping data engineering and you're actively experimenting, not just watching from the sidelines. Whether that's using LLMs to write and debug pipelines faster, thinking through how to model agent behavior as data, or exploring what smarter data discovery could look like, you bring enthusiasm for figuring it out.</li>
<li>You're passionate and thoughtful about building systems that enhance human understanding.</li>
<li>You communicate with clarity and precision in written form and have experience conveying findings through graphs and visualizations.</li></ul><p></p><div><p><br>
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