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DigitalOcean

<div><div><p>Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together&mdash;while learning, having fun, and making a profound difference for the dreamers and builders in the world.</p></div><p>
We are looking for a <b>Customer Success Engineer - Database</b> who is passionate about cloud infrastructure, database technologies, and delivering exceptional customer experiences, while providing high-touch, white-glove support to strategic accounts.</p>
<p>
As a Customer Success Engineer at DigitalOcean, you will join a dynamic team dedicated to supporting and empowering customers to successfully run their workloads on our platform. You will work closely with customers to troubleshoot issues, optimize database performance, and guide them in adopting best practices across managed databases and cloud infrastructure.</p>
<p>
In this role, you will build strong technical depth across database systems and DigitalOcean products while developing your ability to handle increasingly complex customer scenarios. You will collaborate cross-functionally with Product and Engineering to ensure seamless customer outcomes. This role reports to the Manager, Customer Success Engineer.</p>
<h2 class="jobSectionHeader"><b>
What You'll Do</b></h2>
<ul><li>Deliver hands-on technical support for database and cloud infrastructure issues across technologies such as MySQL, PostgreSQL, Valkey (Redis), MongoDB and Clickhouse, with exposure to cloud-native and Kubernetes environments</li>
<li>Diagnose and resolve production issues impacting database performance, availability, replication, backups, and connectivity</li>
<li>Guide customers in designing scalable, reliable, and high-performing database architectures on DigitalOcean</li>
<li>Collaborate with senior engineers and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations.</li>
<li> on complex escalations, contributing to root cause analysis and resolution</li>
<li>Analyze customer architectures to identify improvement opportunities and recommend best practices</li>
<li>Participate in incident response and on-call rotations to support critical customer issues</li>
<li>Contribute to team growth through case reviews and knowledge sharing, while developing and maintaining technical documentation and playbooks to drive continuous improvement.</li>
<li>Advocate for customer feedback to influence product improvements and platform enhancements</li>
<li>Identify opportunities to leverage automation and AI tools to streamline support workflows, reduce manual effort, and improve response quality.</li>
<li>Use monitoring and observability tools to diagnose performance bottlenecks and system behavior.</li>
</ul><h2 class="jobSectionHeader"><b>Key Metrics</b></h2>
<ul><li>Customer Satisfaction (CSAT)</li>
<li>Time to Resolution / SLA adherence</li>
<li>Escalation quality and resolution effectiveness</li>
<li>Documentation and knowledge base contributions</li>
<li>Customer adoption of best practices</li>
</ul><h2 class="jobSectionHeader"><b>What You'll Add to DigitalOcean</b></h2>
<h3 class="jobSectionHeader"><b>Required Experience &amp; skills</b></h3>
<ul><li>2&ndash;5 years of experience in technical support, DevOps, cloud engineering, or similar roles</li>
<li>Hands-on experience with some of the major database systems (e.g., PostgreSQL, MySQL, Redis, MongoDB, Clickhouse), with some familiarity across Kafka and others.</li>
<li>Strong Foundational knowledge of Linux, networking, and cloud infrastructure concepts</li>
<li>Understanding of database fundamentals including backups, replication, indexing, and performance tuning</li>
<li>Strong troubleshooting skills across application, database, and infrastructure layers</li>
<li>Customer-first mindset with a passion for solving technical problems and delivering great support experiences</li>
<li>Effective communication skills with the ability to explain technical concepts clearly</li>
<li>Ability to work both independently and collaboratively in a fast-paced environment</li>
</ul><h2 class="jobSectionHeader"><b>Preferred Qualification:</b></h2>
<ul><li>Proven experience contributing to open-source projects, particularly in the database ecosystem (e.g., MySQL, PostgreSQL, Redis, MongoDB) or related technologies like Kafka, OpenSearch, or database migration tools.</li>
<li>Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with multi-cloud or hybrid cloud environments.</li>
<li>Basic Experience to distributed systems or containerized environments (e.g., Kubernetes)</li>
<li>Hands-on experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.</li>
<li>Contributions to open-source projects, technical blogs, or documentation related to databases or cloud-native technologies</li>
<li>At least one of the Database Certifications, such as Oracle Certified Professional or Databases Administrator</li>
<li>Exposure<b> </b>to one or more programming languages (PHP, Python, NodeJS) or a strong interest in developing coding skills.</li>
</ul><h2 class="jobSectionHeader"><b>Compensation Range:</b></h2>
<ul><li>$75,200 - $94,000 / Shift hours - 1pm - 9pm PST</li>
</ul>
<ul><li>This is a remote role</li></ul>
<p>
JR: 2026-7646</p>
<p><i>
#LI-Remote</i></p><p></p><div><h2 class="jobSectionHeader"><b><br>
Why You'll Like Working for DigitalOcean</b></h2>
<ul><li><b>We innovate with purpose. </b>You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.</li>
<li><b>We prioritize career development.</b> At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.</li>
<li><b>We care about your well-being. </b>Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.</li>
<li><b>We reward our employees. </b>The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.</li>
<li><b>DigitalOcean is an equal-opportunity employer. </b>We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</li>
</ul>
<p><b>Application Limit:</b> You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.</p></div></div>

Customer Success Engineer - Database (2nd Shift)

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>

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

Checkr

<div><div><p><b>About Checkr</b><br>
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.
<br>
<br>
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.</p></div><p><b>
About the Role</b></p>
<p>
We are seeking a strong <b>Senior Data Engineer</b> 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.</p>
<h2 class="jobSectionHeader"><b>
What You'll Do</b></h2>
<ul><li><b>Independently design and implement complex batch and streaming pipelines</b> using PySpark, SQL, and AWS services.</li>
<li><b>Navigate ambiguity with guidance</b>, translating high-level direction into well-scoped, high-quality technical solutions.</li>
<li><b>Work cross-functionally</b> with product, design, analysts, and engineers to ship impactful features and improve data workflows.</li>
<li><b>Contribute to architectural discussions</b> and system improvements without owning long-term strategy.</li>
<li><b>Ensure pipeline reliability and data quality</b>, implementing testing, monitoring, and observability best practices.</li>
<li><b>Investigate and resolve production issues</b> for services owned by the team.</li>
<li><b>Write performant, maintainable code</b> 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"><b>What You Bring</b></h2>
<ul><li><b>6&ndash;7+ years</b> of experience in data engineering with strong hands-on execution ability.</li>
<li>Proficiency with <b>PySpark, Python, and SQL</b>, including debugging and performance optimization.</li>
<li>Experience building <b>large-scale pipelines</b> (up to terabytes or larger), with exposure to streaming systems such as Kafka.</li>
<li>Strong knowledge of <b>data modeling</b>, relational databases, and NoSQL stores.</li>
<li>Experience with AWS services such as <b>EMR, Glue, Athena, Lambda, and S3</b>.</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><p><i>
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.</i></p><br>
<p><b>
Equal Employment Opportunities at Checkr</b><br>
<i>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 </i><i>San Francisco's Fair Chance Ordinance</i><i>.</i></p><p><br>
<b>
Applicant Privacy Policy</b><br>
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.</p><br>
<p></p>
<ul><li><i>Legitimate Checkr emails will always include our official domain name after the @ symbol (e.g., </i><i>name@checkr.com</i><i> or </i><i>name@ext.checkr.com</i><i>).</i></li></ul></div></div>

Senior Data Engineer

Uber

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 The Growth and Marketing Platform Data Team is looking for a highly skilled and passionate Data Engineer to build and scale Uber's data infrastructure. In this role, you'll develop high-performance data pipelines, real-time streaming systems, and robust data architectures that power Uber's growth and marketing initiatives.
 <br/>
 <br/>
 You'll collaborate with Product Managers, Data Scientists, Data Platform Engineers, and Marketing Operations to design scalable, efficient, and reliable data solutions that drive business impact. This is a highly visible and impactful role for someone who thrives on data at scale, technical leadership, and solving ambiguous problems with clarity and precision.
 <br/>
 <br/>
 <strong>
  What You Will Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and maintain scalable data pipelines and backend services for processing large-scale web event analytics.
  </li>
  <li>
   Lead the development of core data infrastructure, ensuring high availability, performance, and reliability.
  </li>
  <li>
   Solve complex challenges at the intersection of low latency, high correctness, and full determinism.
  </li>
  <li>
   Architect and optimize data models, ETL/ELT workflows, and distributed data processing frameworks.
  </li>
  <li>
   Participate in code reviews, mentor junior engineers, and enforce best practices in data engineering.
  </li>
  <li>
   Diagnose and resolve data quality issues, ensuring accuracy, efficiency, and security.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Basic Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   4+ years of experience in data engineering or backend software development.
  </li>
  <li>
   Proficiency in Python, SQL, Java, or Scala for data pipeline development.
  </li>
  <li>
   Proficiency in Big Data frameworks (e.g., Spark, Flink, Presto, MapReduce) and distributed computing.
  </li>
  <li>
   Data warehouse and Data Modeling experience
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in Web and SEO Analytics
  </li>
  <li>
   Experience in Marketing Technologies
  </li>
  <li>
   Designing and executing on Real-time and Near Real-time Systems
   <br/>
   <br/>
  </li>
 </ul>
 For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. 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., For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. 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>


Data Engineer - Growth and Marketing Platform

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)

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