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associate machine learning engineer

data engineer

LINDY

<div>About Lindy
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.
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.
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.
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.<h2 class="jobSectionHeader">
Key Responsibilities</h2>
Data Infrastructure:<ul><li>
Design and implement scalable ETL pipelines that handle product analytics, customer usage data, and business metrics</li><li>
Build reliable data warehousing solutions that support both real-time and batch processing needs</li><li>
Create automated data quality monitoring and alerting systems</li></ul>
Analytics &amp; Insights:<ul><li>
Develop comprehensive dashboards and reporting systems that track key business and product metrics</li><li>
Collaborate closely with the founder/CEO, PMs, and engineering team to understand customer behavior, product performance, and business health</li><li>
Identify opportunities to improve lagging metrics across customer acquisition, retention, product adoption, and revenue. Design and implement initiatives to address them</li><li>
Partner with product and engineering teams to instrument new features with proper analytics tracking</li></ul>
Data Strategy:<ul><li>
Establish frameworks for experimentation and A/B testing across our product</li><li>
Build self-service analytics capabilities that empower non-technical teams</li></ul><h2 class="jobSectionHeader">
Must haves</h2><ul><li>
2+ years of data engineering or data analytics experience (building production data pipelines and analytics infrastructure)</li><li>
Expert-level SQL skills and experience with modern data warehouses (Snowflake, BigQuery, or similar)</li><li>
Hands-on experience with ETL tools (Fivetran, Airbyte, or custom solutions) and data transformation frameworks (dbt)</li><li>
Proficiency with BI tools (Tableau, Looker, or similar) and advanced spreadsheet analysis</li><li>
Track record of working independently and delivering high-impact projects with minimal oversight</li><li>
Excitement to work in-person 4 days a week from our downtown San Francisco office</li><li>
The technical skills of a data-oriented engineer who can build and maintain data infrastructure</li><li>
The strategic thinking of a business strategist who can identify and communicate our business' most pressing questions</li><li>
The analytical capabilities of a data analyst who can turn questions and data into insights</li></ul><h2 class="jobSectionHeader">
Nice to have</h2><ul><li>
Experience with product analytics tools (PostHog, Mixpanel, Amplitude)</li><li>
Python/JavaScript proficiency for custom analysis and automation</li><li>
Background in statistics, data science, or machine learning</li><li>
Previous experience at high-growth B2B SaaS companies</li><li>
Familiarity with AI/ML product metrics and experimentation</li></ul><h2 class="jobSectionHeader">
Compensation and Benefits</h2><ul><li>
Base Salary Range $150K-$185K + equity</li><li>
Comprehensive health coverage</li><li>
$20K relocation assistance and visa sponsorship</li><li>
High autonomy and direct collaboration with leadership</li><li>
The fun of working at a no-nonsense 30-person startup that just wants to build an amazing product and business</li></ul></div>

Data Engineer

HappyRobot

<div>
 
 About HappyRobot
 
 
 
 HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate - they make decisions, take action, and run operations autonomously across voice, email, and enterprise systems. Born in Y Combinator (S23) and backed by a16z and Base10 with over $60M raised, we power critical operations for global enterprises worldwide.
 
 
 Our platform is battle-tested in the most demanding environments - where AI has real consequences. We started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy. Learn more about our vision in our manifesto.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company.
 </li>
 <li>
 Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company.
 </li>
 <li>
 Build and maintain robust data pipelines and models to ensure data quality.
 </li>
 <li>
 Partner with Product, Engineering, and Design teams to inform decisions.
 </li>
 <li>
 Translate complex data into clear, actionable insights for product teams.
 </li>
 <li>
 Love working with data. Love making product better. Love finding the story behind the numbers.
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Define, build, and maintain product metrics, dashboards, and pipelines.
 </li>
 <li>
 Write SQL and Python code to extract, transform, and analyze data.
 </li>
 <li>
 Design and run experiments (A/B tests) to support product development.
 </li>
 <li>
 Proactively explore data to identify product opportunities and insights.
 </li>
 <li>
 Collaborate with cross-functional teams to ensure data-driven decisions.
 </li>
 <li>
 Ensure data quality, reliability, and documentation across analytics efforts.
 
 
 </li>
 </ul>
 
 Must Have
 
 
 
 <ul>
 <li>
 3+ years of experience as an Analytics Data Engineer or similar Data Science &amp; Analytics roles.
 </li>
 <li>
 Strong SQL and data engineering skills to transform data into accurate, clean data models (e.g., dbt, Airflow, data warehouses).
 </li>
 <li>
 Proficiency in Python for data analysis and modeling.
 </li>
 <li>
 Excellent communication skills: able to explain complex data insights clearly.
 </li>
 <li>
 Curious, collaborative, and driven to make an impact in a fast-paced environment.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience in B2B SaaS or AI/ML products.
 </li>
 <li>
 Familiarity with product analytics tools (e.g., Mixpanel, Amplitude).
 </li>
 <li>
 Exposure to machine learning concepts or AI-powered systems.
 
 
 </li>
 </ul>
 
 Why join us?
 
 
 
 <ul>
 <li>
 Opportunity to work at a high-growth AI startup, backed by top investors.
 </li>
 <li>
 Rapidly growing and backed by top investors including a16z, Y Combinator, and Base10.
 </li>
 <li>
 Ownership &amp; Autonomy - Take full ownership of projects and ship fast.
 </li>
 <li>
 Top-Tier Compensation - Competitive salary + equity in a high-growth startup.
 </li>
 <li>
 Comprehensive Benefits - Healthcare, dental, vision coverage.
 </li>
 <li>
 Work With the Best - Join a world-class team of engineers and builders.
 
 
 </li>
 </ul>
 
 Our Operating Principles
 
 
 
 
 
 Extreme Ownership
 
 
 
 
 We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting &mdash; if something needs fixing, we own it and make it better. This means stepping up, even when it&rsquo;s not &ldquo;your job.&rdquo; If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don&rsquo;t wait for someone else to solve it &mdash; we lead with accountability and expect the same from those around us.
 
 
 
 
 Craftsmanship
 
 
 
 
 Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for &ldquo;just fine.&rdquo; We sweat the details because details compound. Whether it&rsquo;s a product feature, an internal doc, or a sales call &mdash; we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build &mdash; even when nobody&rsquo;s watching.
 
 
 
 
 We are &ldquo;majos&rdquo;
 
 
 
 
 Be friendly &amp; have fun with your coworkers. Always be genuine &amp; honest, but kind. &ldquo;Majo&rdquo; is our way of saying: be a good human. Be approachable, helpful, and warm. We&rsquo;re building something ambitious, and it&rsquo;s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego.
 
 
 
 
 Urgency with Focus
 
 
 
 
 Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We&rsquo;re running a high-speed marathon &mdash; not a sprint with no strategy.
 
 
 
 
 Talent Density and Meritocracy
 
 
 
 
 Hire only people who can raise the average; &lsquo;exceptional performance is the passing grade.&rsquo; Ability trumps seniority. We believe the best teams are built on talent density &mdash; every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players &mdash; that&rsquo;s how we win.
 
 
 
 
 First-Principles Thinking
 
 
 
 
 Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don&rsquo;t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It&rsquo;s how we build what others think is impossible.
 
 
 
 The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.
 
 
 
 
 By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.
 
 
 
 
 In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.
 
 
 
 
 If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.
 
 
 
 
 For more information, visit
 
 
 https://www.happyrobot.ai/privacy-policy
 
 
 
 
 By submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.
 
</div>

Figma

<div>
 Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma&rsquo;s platform helps teams bring ideas to life&mdash;whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
 
 
 We are looking for an experienced Data Engineer to partner with our Data Science and Data Infrastructure teams to own and scale our data pipelines. You&rsquo;ll also work closely with stakeholders across business teams including sales, marketing, and finance to ensure that the data they need arrives promptly and reliably. You&rsquo;ll play an integral role in building the metrics and self-serve reporting capabilities to unlock Figma&rsquo;s next phase of growth.
 
 
 This is a great role for an individual who is passionate about working with data and data systems, and who loves solving problems. You&rsquo;ll have a good sense for when it makes sense to build fast, scrappy solutions to unblock a key stakeholder vs. when to push back or bring in an outside service. The ideal candidate will be a great communicator who can help coordinate across multiple internal and external teams and takes pride in building end-to-end projects.
 
 
 This is a full time role that can be held from one of our US hubs or remotely in the United States.
 
 
 
 What you'll do at Figma
 
 
 :
 
 
 
 <ul>
 <li>
 Own, build, and maintain scalable data pipelines that connect various cloud data sources.
 </li>
 <li>
 Develop a deep understanding of Figma&rsquo;s core data models and optimize data pipelines for scale.
 </li>
 <li>
 Partner with the Data Science and Data Infrastructure teams to build new foundational data sets that are trusted, well understood, and enable self-service.
 </li>
 <li>
 Work with a wide range of cross-functional stakeholders to derive requirements and architect shared datasets; ability to document, simplify and explain complex problems to different types of audiences.
 </li>
 <li>
 Establish best practices for the development of specialized data sets for analytics and modeling.
 
 
 </li>
 </ul>
 We'd love to hear from you if you have:
 
 
 <ul>
 <li>
 4+ years in a relevant field.
 </li>
 <li>
 Fluency with both SQL and Python.
 </li>
 <li>
 Familiarity with Snowflake, dbt, Dagster, and ETL/reverse ETL tools.
 </li>
 <li>
 Excellent judgment and creative problem solving skills.
 </li>
 <li>
 A self-starting mindset along with strong communication and collaboration skills.
 
 
 </li>
 </ul>
 While not required, it&rsquo;s an added plus if you also have:
 
 
 <ul>
 <li>
 Knowledge in data modeling methodologies to design and build robust data architectures for insightful analytics.
 </li>
 <li>
 Experience with business systems such as Salesforce, Customer IO, Stripe, NetSuite is a big plus.
 
 
 </li>
 </ul>
 At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
 
 
 
 Pay Transparency Disclosure
 
 
 
 If based in Figma&rsquo;s San Francisco or New York hub offices, this role has the annual base salary range stated below.
 
 
 Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.
 
 
 Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental &amp; vision, retirement with company contribution, parental leave &amp; reproductive or family planning support, mental health &amp; wellness benefits, generous PTO, company recharge days, a learning &amp; development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma&rsquo;s compensation and benefits are subject to change and may be modified in the future.
 
 
 Annual Base Salary Range:
 
 
 $140,000&mdash;$348,000 USD
 
 
 At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
 
 ,
 
 or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
 
 
 We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
 
 
 Examples of accommodations include but are not limited to:
 
 
 <ul>
 <li>
 Holding interviews in an accessible location
 </li>
 <li>
 Enabling closed captioning on video conferencing
 </li>
 <li>
 Ensuring all written communication be compatible with screen readers
 </li>
 <li>
 Changing the mode or format of interviews
 
 
 </li>
 </ul>
 To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
 
 
 By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice.
</div>

Cognition

<div><h2 class="jobSectionHeader">We are an applied AI lab building end-to-end software agents.</h2>
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.
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.
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.<h2 class="jobSectionHeader">
About the Role</h2>
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.
In this role you will:<ul><li>
Design and manage database architecture and data models with a focus on finance and accounting use cases</li><li>
Build and maintain ETL/ELT pipelines and orchestration workflows</li><li>
Create and manage data integrations across internal and external financial systems</li><li>
Partner with Finance and Accounting teams to build auditable, automated reporting systems, dashboards, and datasets</li><li>
Support close processes, FP&amp;A workflows, and revenue reporting through scalable data infrastructure</li><li>
Own business reporting: datasets, dashboards, metrics, and self-serve analytics</li><li>
Ensure data quality, observability, governance, and documentation</li></ul>
Requirements for the role:<ul><li>
5+ years in a data engineering, analytics engineering, or a full-stack data role</li><li>
Expert SQL and strong Python (or R)</li><li>
Experience with data modeling, warehouse architecture, and BI-oriented schema design</li><li>
Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)</li><li>
Experience building or maintaining BI reporting (Metabase a plus)</li><li>
Proven track record collaborating with finance stakeholders to deliver impactful solutions</li><li>
Experience with FP&amp;A processes, close workflows, and financial reporting</li><li>
Familiarity with GAAP vs. non-GAAP reporting and revenue recognition concepts</li><li>
Based in SF and willing to be in office 5 days a week</li></ul></div>

Data Engineer - Finance

Cognition AI

<div><div>Location<div>
San Francisco Bay Area</div></div><div>
Employment Type<div>
Full time</div></div><div>
Location Type<div>
On-site</div></div><div>
Department<div>
General &amp; Administrative</div></div></div>
 <div><div><div>We are an applied AI lab building end-to-end software agents.</div>
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.
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.
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.
About the Role
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.
In this role you will:<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>
Requirements for the role:<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>

Embedding VC

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

Growth Data Engineer

Checkr

<div><div>About Checkr 
Checkr is building the data platform to power safe and fair decisions. Established in 2014, Checkr's innovative technology and robust data platform help customers assess risk and ensure safety and compliance to build trusted workplaces and communities. Checkr has over 100,000 customers including DoorDash, Coinbase, Lyft, Instacart, and Airtable.
 
 
We're a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company.</div>
About the Role

We are seeking a strong Senior Data Engineer to build and maintain scalable, high-quality data pipelines powering Checkr's centralized data platform. As a Senior Engineer, you will independently deliver complex features, contribute to system design, and collaborate with cross-functional partners to support the next generation of our data products.
<h2 class="jobSectionHeader">
What You'll Do</h2>
<ul><li>Independently design and implement complex batch and streaming pipelines using PySpark, SQL, and AWS services.</li>
<li>Navigate ambiguity with guidance, translating high-level direction into well-scoped, high-quality technical solutions.</li>
<li>Work cross-functionally with product, design, analysts, and engineers to ship impactful features and improve data workflows.</li>
<li>Contribute to architectural discussions and system improvements without owning long-term strategy.</li>
<li>Ensure pipeline reliability and data quality, implementing testing, monitoring, and observability best practices.</li>
<li>Investigate and resolve production issues for services owned by the team.</li>
<li>Write performant, maintainable code that aligns with engineering standards.</li>
<li>Support the team in building foundational datasets that enable analytics, ML, and customer-facing features.</li>
</ul><h2 class="jobSectionHeader">What You Bring</h2>
<ul><li>6&ndash;7+ years of experience in data engineering with strong hands-on execution ability.</li>
<li>Proficiency with PySpark, Python, and SQL, including debugging and performance optimization.</li>
<li>Experience building large-scale pipelines (up to terabytes or larger), with exposure to streaming systems such as Kafka.</li>
<li>Strong knowledge of data modeling, relational databases, and NoSQL stores.</li>
<li>Experience with AWS services such as EMR, Glue, Athena, Lambda, and S3.</li>
<li>Exposure to Iceberg or other lakehouse technologies (nice to have).</li>
<li>Understanding of security and data privacy fundamentals.</li>
<li>Strong problem-solving skills, attention to detail, and ability to execute independently.</li>
<li>Knowledge of Databricks, Snowflake, or Graph/Vector stores is a plus.</li>
</ul><div>
At Checkr, we believe a hybrid work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO, San Francisco, CA, Nashville, TN, and Santiago, Chile. Individuals are expected to work from the office 3 days a week. In-office perks are provided, such as lunch five times a week, a commuter stipend, and an abundance of snacks and beverages. A relocation stipend may be available for those willing to relocate to a Checkr hub location. 

Equal Employment Opportunities at Checkr 
Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco's Fair Chance Ordinance. 

Applicant Privacy Policy 
If you are a California resident or are located in Alberta or British Columbia, our Applicant Privacy Policy applies to our collection and processing of your personal information when you apply for a role with us or otherwise participate in our recruitment process. 

<ul><li>Legitimate Checkr emails will always include our official domain name after the @ symbol (e.g., name@checkr.com or name@ext.checkr.com).</li></ul></div></div>

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