etl developer

You.com

<div>
 
 About Us
 
 
 
 At You.com, we are building the AI Search Infrastructure that powers modern AI systems. Our goal is to create the trusted knowledge layer that agents, applications, and enterprises rely on to retrieve real-time, accurate, and citation-backed information.
 
 
 Our platform combines proprietary vertical indexes with LLM-optimized retrieval systems to power AI agents, applications, and enterprise workflows. We are solving hard problems across search, large language models, and large-scale infrastructure to make AI systems more reliable, transparent, and useful.
 
 
 Our team includes engineers, researchers, product builders, and operators who care about solving meaningful problems and delivering real-world impact. Whether you are improving core infrastructure, shaping product experiences, or helping bring new AI capabilities to market, your work will help define how modern AI finds and uses knowledge.
 
 
 
 About The Role
 
 
 
 We are looking for a hands-on Data Engineer to help build and scale our modern data platform. In this role, you will work closely with engineering, product, and analytics teams to develop reliable, high-performance data pipelines and systems.
 
 
 You'll contribute to both batch and real-time data processing using technologies like Databricks, AWS, and Kafka, while helping ensure data quality, accessibility, and usability across the organization. You'll play a key role in enabling data activation, ensuring that high-quality data flows not only into the warehouse but also outward to business tools like Salesforce, HubSpot, and Braze. Additionally, you will help power next-generation
 
 AI-driven applications
 
 , including agent-based systems and retrieval-augmented generation (RAG), by building robust data foundations and pipelines. This is a great opportunity for someone who enjoys solving data challenges end-to-end from ingestion to insights.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build and maintain scalable data pipelines (batch and streaming) using tools like Databricks, Spark, Kafka, and AWS services
 </li>
 <li>
 Design, develop, and optimize ETL/ELT workflows using DBT, PySpark, SQL, and tools like Fivetran
 </li>
 <li>
 Partner closely with marketing and growth teams to enable data use cases such as segmentation, campaign targeting, and lifecycle analytics
 </li>
 <li>
 Develop and maintain reverse ETL pipelines to sync data from the warehouse to tools like Salesforce, HubSpot, Braze, and other downstream systems
 </li>
 <li>
 Create and manage curated datasets to support analytics, reporting, and go-to-market initiatives
 </li>
 <li>
 Build and maintain dashboards and reporting layers to support marketing and business performance tracking
 </li>
 <li>
 Support AI/ML and agent-based applications by preparing and serving high-quality datasets for RAG pipelines and MCP (Model Context Protocol) integrations
 </li>
 <li>
 Monitor pipeline performance, troubleshoot issues, and ensure high data reliability and quality
 </li>
 <li>
 Implement data quality checks, validations, and alerting mechanisms across both ingestion and activation layers
 </li>
 <li>
 Collaborate with cross-functional teams to define data contracts and ensure consistency across systems
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 
 6+ years
 
 of experience in data engineering or a related field
 </li>
 <li>
 Strong hands-on experience with Databricks, AWS (S3, Glue, Athena, EMR, etc.), and Kafka
 </li>
 <li>
 Proficiency in Python (PySpark) and SQL for large-scale data processing
 </li>
 <li>
 Experience building and maintaining ETL/ELT pipelines (DBT/Airflow or similar experience preferred)
 </li>
 <li>
 Experience with data ingestion tools such as Fivetran (or similar)
 </li>
 <li>
 Familiarity with reverse ETL / data activation workflows and syncing data to tools like Salesforce, HubSpot, Braze
 </li>
 <li>
 Exposure to or experience with AI/ML data pipelines, including RAG architectures, vector databases, or embeddings workflows
 </li>
 <li>
 Familiarity with agent-based systems, MCP integrations, or LLM-powered applications is a strong plus
 </li>
 <li>
 Experience working with marketing, Product or growth teams on data use cases (segmentation, attribution, campaign analytics, etc.)
 </li>
 <li>
 Understanding of data modeling and working with large-scale datasets (batch and streaming)
 </li>
 <li>
 Experience creating dashboards and supporting reporting workflows (BI tools) for both internal and external audiences
 </li>
 <li>
 Strong problem-solving skills and ability to debug production data issues
 </li>
 <li>
 Strong communication skills and ability to work collaboratively across teams
 
 
 </li>
 </ul>
 Our salary bands are structured based on a combination of geographic tiers and internal leveling. Compensation is determined by multiple factors assessed during the interview process, with the final offer reflecting these considerations.
 
 
 Salary Band
 
 
 $185,000&mdash;$225,000 USD
 
 
 
 Company Perks:
 
 
 
 <ul>
 <li>
 Hubs in San Francisco and New York City offering regular in-person gatherings and co-working sessions
 </li>
 <li>
 Flexible PTO with U.S. holidays observed and a week shutdown in December to rest and recharge*
 </li>
 <li>
 A competitive health insurance plan covers 100% of the policyholder and 75% for dependents*
 </li>
 <li>
 12 weeks of paid parental leave in the US*
 </li>
 <li>
 401k program, 3% match - vested immediately!*
 </li>
 <li>
 $500 work-from-home stipend to be used up to a year of your start date*
 </li>
 <li>
 $600 technology stipend to support a portion of our hybrid/remote team's cell phone and internet expenses*
 </li>
 <li>
 $1,200 per year Health &amp; Wellness Allowance to support your personal goals*
 </li>
 <li>
 The chance to collaborate with a team at the forefront of AI research
 </li>
 <li>
 Certain perks and benefits are limited to full-time employees only
 
 
 </li>
 </ul>
 
 You.com participates in E-Verify. We will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's Form I-9 to confirm work authorization. (English/Spanish: E-Verify Participation/Right to Work)
 
 
 We are also an inclusive, equitable, and accessible workplace. Please let us know if you require accommodation for any portion of the recruitment and hiring process.
 
 
 
 
 
 Beware of recruiting scams: You.com will only contact you through official @You.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
 
 
</div>

Data Engineer

Veryon

<div>Description:

About Veryon
Veryon is the leading global provider of aviation software and information services, trusted by over 5000+ customers, 75,000 maintenance professionals, and 100+ OEMs across nearly 150 countries. Our mission is to deliver smarter, predictive technology solutions, including our AI platform, Veryon AIRE that maximizes aircraft uptime and operational efficiency for the world&rsquo;s most demanding aviation organizations.
At Veryon, we are an AI-forward company focused on driving innovation and efficiency through emerging technologies. We prioritize hiring individuals who embrace AI, think creatively about its application, and are excited to continuously evolve alongside it.
About the Role
The Data Engineer is responsible for building and maintaining reliable, governed data pipelines that support finance-critical and revenue-critical workflows across Veryon.
This role ensures that data across systems is accurate, consistent, and structured to enable analytics, reporting, and AI-ready data foundations.
The position plays a key role in enabling data reliability, scalability, and governance across enterprise systems, ensuring stakeholders across the organization can trust and use data effectively.
 Key Responsibilities<ul><li>
Build and maintain data pipelines across CRM, billing, and accounting systems</li><li>
Ensure data reconciliation, consistency, and accuracy across multiple enterprise platforms</li><li>
Design and maintain core data models for revenue, customer, and financial datasets</li><li>
Build and optimize semantic data layers to unify data across disparate systems</li><li>
Implement data quality checks, monitoring, and validation frameworks</li><li>
Configure, maintain, and optimize ETL/ELT pipelines for multiple data sources</li><li>
Support analytics and AI data foundations to enable downstream reporting and automation use cases</li><li>
Provide administration and support for enterprise BI tools and reporting platforms</li><li>
Collaborate with cross-functional teams to ensure data availability, integrity, and usability</li></ul>
Requirements:
<ul><li>Bachelor&rsquo;s degree in Data Science, Computer Science, Engineering, Big Data, or related field (Master&rsquo;s preferred)</li><li>
3&ndash;6+ years of experience in Data Engineering or Analytics Engineering roles</li><li>
Strong expertise in SQL and data modeling (star/snowflake schemas, dimensional modeling)</li><li>
Experience building and maintaining data pipelines (ETL/ELT workflows)</li><li>
Hands-on experience with cloud data warehouse/lake platforms (e.g., Snowflake, BigQuery, Redshift, Databricks)</li><li>
Experience working with finance or revenue systems data (billing, accounting, ERP systems such as Oracle DB or similar)</li><li>
Experience integrating and working with CRM data systems (Salesforce preferred)</li><li>
Strong understanding of data governance, validation, and quality frameworks</li><li>
Ability to work in cross-functional, remote or distributed teams</li><li>
Strong problem-solving skills with attention to data accuracy and reliability</li><li>
Ability to communicate technical concepts to non-technical stakeholders</li></ul>
Preferred Skills<ul><li>
Exposure to BI tools (Power BI, Tableau, Looker, etc.) administration and support</li><li>
Familiarity with data orchestration tools (Airflow, dbt, Prefect, or similar)</li><li>
Understanding of data lakehouse architectures and modern data stacks</li><li>
Exposure to machine learning data pipelines or AI/ML readiness frameworks</li><li>
Experience supporting revenue operations or finance analytics use cases</li><li>
Knowledge of data observability and monitoring tools</li></ul>
AI Competency Expectations<ul><li>
Understanding of how data pipelines support AI/ML models and predictive analytics</li><li>
Experience enabling AI-ready datasets for automation or analytics use cases</li><li>
Familiarity with embedding structured data for AI consumption (semantic layers, feature stores)</li></ul>
Our Core Values:<ul><li>
Fueled by Customers: Customers are at the core of every decision.</li><li>
Win Together: Collaboration is our competitive edge.</li><li>
Make It Happen: No excuses. Just outcomes.</li><li>
Innovate to Elevate: We boldly challenge what&rsquo;s standard and lift what&rsquo;s possible.</li></ul></div>

YO IT Consulting

<div>
 
 Job Title:
 
 Data Engineer
 
 
 
 Job Type:
 
 Contractor
 
 
 
 Location:
 
 Remote
 
 
 
 Job Summary
 
 
 
 We are seeking an expert Data Engineer to join our customer&rsquo;s team and play a pivotal role in developing next-generation AI agents. In this fully remote role, you will leverage your strong data engineering, coding, and AI/ML expertise to help train and optimize advanced AI systems. Collaborate with talented professionals in a dynamic environment where your technical skills and innovative mindset will directly impact the project's success.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and manage data pipelines to support complex AI agent training initiatives.
 </li>
 <li>
 Collaborate closely with AI/ML engineers to ensure efficient data flows and high-quality training datasets.
 </li>
 <li>
 Develop and maintain scalable ETL processes using Python, MySQL, and PostgreSQL.
 </li>
 <li>
 Utilize JAVA and JavaScript to integrate diverse data sources and enable seamless data exchange.
 </li>
 <li>
 Contribute to the optimization of AI models through effective data engineering practices.
 </li>
 <li>
 Document data processes comprehensively and communicate technical concepts clearly to both technical and non-technical stakeholders.
 </li>
 <li>
 Troubleshoot and resolve data issues, ensuring data integrity and reliability for AI applications.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 3+ years of hands-on experience as a Data Engineer, with proven expertise in AI/ML projects.
 </li>
 <li>
 Advanced proficiency in Python, MySQL, PostgreSQL, JAVA, and JavaScript.
 </li>
 <li>
 Strong understanding of AI concepts and experience in training AI agents.
 </li>
 <li>
 Exceptional written and verbal communication skills, with a focus on clarity and collaboration.
 </li>
 <li>
 Experience implementing robust data pipelines and scalable architecture for machine learning projects.
 </li>
 <li>
 Self-motivated, detail-oriented, and able to thrive in a fully remote team environment.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in a related field.
 </li>
 <li>
 Direct experience with AI agent frameworks and real-world deployment projects.
 </li>
 <li>
 Previous work in fast-paced startup or innovation-driven environments.
 </li>
 </ul>
</div>

Data Engineer - Remote

GoodRx

<div>
 GoodRx is America&rsquo;s healthcare marketplace. Each month, millions of people visit goodrx.com to find reliable health information and discounts for their healthcare &mdash; and we&rsquo;ve helped people save $60 billion since 2011. We provide prescription discounts that are accepted at more than 70,000 pharmacies in the U.S., as well as telehealth services including doctor visits and lab tests. Our services have been positively reviewed by Good Morning America, The New York Times, NBC News, AARP, and many others.
 
 
 Our goal is to help Americans find convenient and affordable healthcare. We offer solutions for consumers, employers, health plans, and anyone else who shares our desire to provide affordable prescriptions to all Americans.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with product managers, data scientists, data analysts and engineers to define requirements and data specifications.
 </li>
 <li>
 Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Airflow, Redshift, EMR.
 </li>
 <li>
 Develop, deploy and maintain serverless data pipelines using Event Bridge, Kinesis, AWS Lambda, S3 and Glue.
 </li>
 <li>
 Define and manage overall schedule and availability for a variety of data sets.
 </li>
 <li>
 Work closely with other engineers to enhance infrastructure, improve reliability and efficiency.
 </li>
 <li>
 Make smart engineering and product decisions based on data analysis and collaboration.
 </li>
 <li>
 Act as in-house data expert and make recommendations regarding standards for code quality and timeliness.
 </li>
 <li>
 Architect cloud-based data infrastructure solutions to meet stakeholder needs.
 
 
 </li>
 </ul>
 
 Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in analytics, statistics, engineering, math, economics, science or related discipline.
 </li>
 <li>
 Experience in any one of the Cloud data spaces such as AWS, Azure or GCP.
 </li>
 <li>
 Experience in engineering data pipelines using big data technologies (Python, pySpark, Real-time data platform like Active MQ or Kafka or Kinesis) on large scale data sets.
 </li>
 <li>
 Experience writing complex SQL and ETL development with experience processing extremely large data sets.
 </li>
 <li>
 Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions.
 </li>
 <li>
 Familiarity with AWS Services (S3, Event Bridge, Glue, EMR, Redshift, Lambda).
 </li>
 <li>
 Ability to quickly learn complex domains and new technologies.
 </li>
 <li>
 Innately curious and organized with the drive to analyze data to identify deliverables, anomalies and gaps and propose solutions to address these findings.
 </li>
 <li>
 Experience using Jira, GitHub, Docker, CodeFresh, Terraform.
 </li>
 <li>
 Experience contributing to full lifecycle deployments with a focus on testing and quality.
 </li>
 <li>
 Experience with data quality processes, data quality checks, validations, data quality metrics definition and measurement.
 
 
 </li>
 </ul>
 We&rsquo;re committed to growing and empowering a more inclusive community within our company and industry. That&rsquo;s why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has a seat at the table and the tools, resources, and opportunities to excel.
 
 
 With that said, research shows that women and other underrepresented groups apply only if they meet 100% of the criteria. GoodRx is committed to leveling the playing field, and we encourage women, people of color, those in the LGBTQ+ communities, and Veterans to apply for positions even if they don&rsquo;t necessarily check every box outlined in the job description. Please still get in touch - we&rsquo;d love to connect and see if you could be good for the role!
 
 
 GoodRx is America's healthcare marketplace. The company offers the most comprehensive and accurate resource for affordable prescription medications in the U.S., gathering pricing information from thousands of pharmacies coast to coast, as well as a telehealth marketplace for online doctor visits and lab tests. Since 2011, Americans with and without health insurance have saved $60 billion using GoodRx and million consumers visit goodrx.com each month to find discounts and information related to their healthcare. GoodRx is the #1 most downloaded medical app on the iOS and Android app stores. For more information, visit www.goodrx.com.
 
 
 We prioritize candidate safety. Please be aware that all official communication will only be sent from
 
 @
 
 
 goodrx.com
 
 or
 
 goodrx@myworkday.com
 
 addresses.
</div>

Data Engineer Intern

ROLLER

<div>
 
 About ROLLER
 
 
 
 ROLLER is not your average software-as-a-service company. With a global presence in over 30 countries, we're here to bring some excitement to the leisure and attractions industry and make a difference! Our mission is to help businesses operate smoothly and create fun and memorable guest experiences by providing seamless ticketing, point-of-sale, self-serve kiosks, memberships and digital waiver processes.
 
 
 But here's the best part: our team. We're a group of 300+ highly passionate, enthusiastic, and down-to-earth professionals located all around the world who are all working together to build something truly remarkable. We're aiming high and believe that the possibilities are endless. As we continue to grow globally, we're excited to write our success story and have fun along the way.
 
 
 We genuinely love what we do, and we're looking for like-minded people to join us on this amazing journey. If you're ready to be part of a dynamic team and make a real impact, come aboard, and let's create some unforgettable experiences together at ROLLER!
 
 
 
 About the Role
 
 
 
 We are seeking a highly technical, hands-on
 
 Senior
 
 
 Data Engineer
 
 to architect and scale our data infrastructure from the ground up. As a core member of the data function within our Business Technology team, you will be responsible for building the pipelines and models that power smarter decision-making and operational efficiency across the entire organization.
 
 
 In this foundational role, you will build &amp; architect the
 
 modern data stack
 
 , ensuring our infrastructure is robust, automated, and governed. You collaborate as a technical partner with
 
 GTM
 
 
 ,Product, Finance, P&amp;C
 
 to build high-performance data models and pipelines that transform raw data into actionable cross-functional insights.
 
 
 Joining ROLLER at this pivotal growth stage, you will have the opportunity to make an outsized impact on our technical landscape, directly influencing how we process data to deliver world-class experiences for our customers globally.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 
 Scalable Architecture:
 
 Design and implement robust Data Modeling and Architecture strategies that support high-volume data processing and maintain long-term scalability.
 </li>
 <li>
 
 Cloud Ecosystem:
 
 Develop and manage end-to-end data pipelines using Google Cloud Platform services, specifically leveraging Cloud Run, Cloud Function for compute, BigQuery for storage, and Cloud Composer (Airflow) for orchestration.
 </li>
 <li>
 
 Transformation Excellence:
 
 Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ensure high data quality and reliability.
 </li>
 <li>
 
 Infrastructure as Code:
 
 Automate the provisioning of cloud resources using Terraform and streamline deployment workflows via GitHub Actions CI/CD pipelines.
 </li>
 <li>
 
 Cloud Data Warehousing:
 
 Demonstrate expert-level proficiency in managing and optimizing Cloud Data Warehouses, such as Snowflake &amp; BigQuery.
 </li>
 <li>
 
 Team Collaboration:
 
 Partner with cross-functional stakeholders to build and scale high-performing data infrastructure that supports engineering, analytics, and Data Program needs.
 </li>
 <li>
 
 Stack Management:
 
 Architect and maintain a modern data stack by implementing best-in-class tools including Snowflake, Bigquery, dbt, Fivetran, Looker, Tableau and Airflow.
 </li>
 <li>
 
 Pipeline Engineering:
 
 Develop scalable ETL/ELT workflows and robust data models to deliver real-time analytics and unified business reporting.
 </li>
 <li>
 
 Data Visualization: Create and maintain intuitive, high-performance Looker dashboards will be an added advantage.
 
 
 
 </li>
 </ul>
 
 About You
 
 
 
 You are a technical builder who views data as a competitive advantage. You thrive in fast-paced environments and have a proven track record of engineering scalable data foundations from the ground up. Equal parts
 
 architect and analytical problem-solver
 
 , you excel at balancing long-term technical vision with the daily hands-on execution of complex pipelines.
 
 
 You are energized by the full lifecycle of data&mdash;moving beyond just writing code to actively leading
 
 project discovery and analysis
 
 alongside cross-functional partners. You take pride in enabling GTM, Product, Finance &amp; P&amp;C teams through clear insights and high-performance systems. Most importantly, you are excited to act as a founding technical force for a high-growth SaaS company that is transforming the guest experience for attractions businesses globally.
 
 
 <ul>
 <li>
 
 5+ years of experience
 
 in Data &amp; Analytics or Data Engineering with a focus on Scalable cloud driven data pipeline build
 </li>
 <li>
 Proven experience in dimensional modeling (Star/Snowflake schema) and designing architectures that support both historical reporting and real-time needs.
 </li>
 <li>
 Expert-level proficiency in Snowflake or BigQuery, including performance tuning, cost optimization, and access control (RBAC).
 </li>
 <li>
 Hands-on experience with Google Cloud Platform services, specifically Cloud Function, Cloud Run for containerized workloads and Cloud Composer for orchestration.
 </li>
 <li>
 Through hands-on experience of dbt (Data Build Tool) to manage transformations, including writing custom macros, implementing tests, and generating documentation.
 </li>
 <li>
 Solid experience using Terraform to provision cloud resources, ensuring that infrastructure is version-controlled and reproducible.
 </li>
 <li>
 Proficiency in GitHub Actions to automate testing and deployment pipelines for data models and infrastructure.
 </li>
 <li>
 Ability to design high-performance dashboards that prioritize user experience and fast load times.
 </li>
 <li>
 Experience collaborating with Finance, GTM, and Product to define key metrics (like CAC, LTV, or Churn) and codifying them into the data layer.
 </li>
 <li>
 Familiarity with data ingestion tools like Fivetran , Airbyte, Workato, Mulesoft to sync data from various SaaS platforms into the warehouse.
 </li>
 <li>
 Operates as a full-stack Data Engineer with the technical authority to architect and build entire data lifecycles, from raw source ingestion to high-impact data visualization.
 </li>
 <li>
 
 Familiarity with business-critical systems
 
 like Salesforce, Chargbee, Gainsight, and product analytics tools.
 </li>
 <li>
 
 Strong communicator
 
 with a track record of working across technical and non-technical teams to drive alignment.
 </li>
 <li>
 You have a high appetite for Technology and AI and a natural curiosity for how it can transform your work. You're comfortable using AI tools to automate repetitive 'busy work,' freeing you up to focus on high-impact work.
 
 
 </li>
 </ul>
 We believe AI is a career-defining inflection point. ROLLER is a fast adopter of new technology like AI, and every team member is empowered to own their learning and use the latest tools to supercharge their impact. We're looking for candidates with the proficiency and curiosity to embrace AI and technology &mdash; not just as a technical skill, but as a core competency to help us achieve big goals
 
 
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience partnering with IT or Business Technology teams to drive cross-functional outcomes.
 </li>
 <li>
 Exposure to customer success and revenue workflows, such as onboarding journeys, renewal metrics, or support analytics.
 </li>
 <li>
 Familiarity with AI/ML pipelines and experimentation frameworks that support data-driven innovation.
 
 
 </li>
 </ul>
 Perks!
 
 
 <ul>
 <li>
 You'll get to work on a category-leading product that customers love in a fun, high-growth industry! Check our Capterra and G2 reviews.
 </li>
 <li>
 ROLLER Recharge days to celebrate and recharge once we've hit our goals
 </li>
 <li>
 Engage in our 'Vibe Tribe' - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising &amp; cause-related campaigns...you name it. We're willing to make it happen!
 </li>
 <li>
 Team Member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.
 </li>
 <li>
 16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers.
 </li>
 <li>
 Work with a driven, fun, and switched-on team that likes to raise the bar in all we do!
 </li>
 <li>
 Individual learning &amp; development budget plus genuine career growth opportunities as we continue to expand!
 
 
 </li>
 </ul>
 What You Can Expect
 
 
 <ul>
 <li>
 
 Initial call with our Talent Acquisition Manager
 
 You'll have an initial call with our Talent Acquisition Manager to chat through some of your experience to date, salary expectations and you can check off any initial questions you might have.
 </li>
 <li>
 
 Interview with the Hiring Manager
 
 You'll get to meet with the hiring manager to learn more about the role &amp; ROLLER whilst also talking through your experience in more detail.
 </li>
 <li>
 
 Loop Interviews
 
 This is where you will get to meet our wider ROLLER team to do a 'vibe check' on us to make sure our culture &amp; vibe meet what you are looking for!
 </li>
 <li>
 
 Offer
 
 If all lights are green and the fit feel right, we'll conduct reference checks and you'll receive an offer to join!
 </li>
 </ul>
</div>

Zocdoc

<div><div>Our Mission 

Healthcare should work for patients, but it doesn't. In their time of need, they call down outdated insurance directories. Then wait on hold. Then wait weeks for the privilege of a visit. Then wait in a room solely designed for waiting. Then wait for a surprise bill. In any other consumer industry, the companies delivering such a poor customer experience would not survive. But in healthcare, patients lack market power. Which means they are expected to accept the unacceptable. 


Zocdoc's mission is to give power to the patient. To do that, we've built the leading healthcare marketplace that makes it easy to find and book in-person or virtual care in all 50 states, across +200 specialties and +12k insurance plans. By giving patients the ability to see and choose, we give them power. In doing so, we can make healthcare work like every other consumer sector, where businesses compete for customers, not the other way around. In time, this will drive quality up and prices down. 


We're 18 years old and the leader in our space, but we are still just getting started. If you like solving important, complex problems alongside deeply thoughtful, driven, and collaborative teammates, read on.</div> 
Your Impact on our Mission:

We're hiring a Staff Data Platform Engineer to define and lead the evolution of Zocdoc's data platform at the intersection of data engineering and product engineering.

This role owns how data moves into, across, and out of our lakehouse and warehouse ecosystems. You'll shape the contracts, access patterns, APIs, governance controls, and interoperability standards that enable teams to reliably produce and consume data at scale.

Unlike a traditional data engineering role, this position is focused on platform experience and data product design &mdash; building the frameworks, contracts, and service interfaces that make data trustworthy, compliant, and easy to use across both technical and non-technical stakeholders.

You will define how:
<ul>
<li>Product teams publish high-quality, validated data into the platform</li>
<li>Analytics and ML teams consume governed datasets with confidence</li>
<li>Reverse ETL and activation patterns safely operationalize data back into product systems</li>
<li>Access control, compliance, and governance are embedded into platform design by default</li>
</ul>
This is a highly cross-functional leadership role requiring deep data engineering expertise, strong product thinking, and the ability to influence standards across the organization.

You'll enjoy this role if you are&hellip;
<ul>
<li>Passionate about designing data contracts and producer/consumer interfaces, not just pipelines.</li>
<li>Excited to build APIs, SDKs, and shared packages that product engineers adopt.</li>
<li>Motivated to define clear access patterns across warehouse, lakehouse, and downstream systems.</li>
<li>Energized by solving governance, schema evolution, and compliance challenges at scale.</li>
<li>Comfortable setting long-term architectural direction while still diving into implementation details.</li>
<li>Experienced in building a data product used broadly across both technical and non-technical stakeholders.</li>
<li>Excited about leveraging AI-assisted and agentic workflows to multiply engineering productivity.</li>
<li>Thoughtful about the guardrails, access controls, and governance required when enabling GenAI systems to interact with sensitive data.</li>
</ul>
Your day to day is&hellip;
<ul>
<li>Defining and evolving data contract standards across the company, including schema enforcement, versioning, and validation patterns.</li>
<li>Designing interoperable ingestion and publishing frameworks that enable upstream producers (e.g., product engineering teams) to integrate seamlessly with the data platform.</li>
<li>Building and standardizing APIs, libraries, or SDKs that simplify event logging, schema validation, and contract compliance.</li>
<li>Establishing best practices for schema registry usage and distributed schema validation across streaming and batch systems (e.g., Kafka-based systems).</li>
<li>Designing clear patterns for:</li>
<li><ul><li>When to use the data lake vs. the warehouse</li>
<li>How curated layers are exposed</li>
<li>How downstream consumers access data safely</li>
</ul></li><li>Leading reverse ETL and activation architecture to support operational use cases.</li>
<li>Defining and enforcing access control, governance, and compliance standards (e.g., PHI/PII handling, DEID boundaries, RBAC).</li>
<li>Partnering with Product Engineering, Security, Compliance, Analytics Engineering, and Infrastructure to align on standards and long-term direction.</li>
<li>Mentoring engineers and influencing engineering culture around data quality, ownership, and contracts.</li>
<li>Driving adoption of AI-assisted development practices (e.g., cloud-based coding environments, internal AI tooling, or agentic workflows) to accelerate platform delivery.</li>
<li>Designing guardrails for AI access to data systems, including scoped permissions, auditing, and compliance-aware controls.</li>
<li>Partnering with product and AI teams to ensure our data contracts, schemas, and curated layers are AI-consumable and safe by default.</li>
<li>Evaluating how internal data platform assets can power AI use cases and intelligent automation across the company.</li>
</ul>
You'll be successful in this role if you have&hellip;
<ul><li>8+ years of experience in data engineering, platform engineering, or backend platform development.</li>
<li>Demonstrated experience designing data contracts, schema governance, or producer/consumer standards at scale.</li>
<li>Strong expertise in Python and SQL, with hands-on experience building scalable data frameworks.</li>
<li>Experience with distributed data systems such as Spark (Databricks or EMR) and modern lakehouse architectures (Delta Lake / Iceberg).</li>
<li>Experience with data warehouses such as Snowflake and strong understanding of performance and access patterns.</li>
<li>Familiarity with schema registry systems and schema evolution in streaming systems (e.g., Kafka).</li>
<li>Experience building APIs, shared libraries, or platform services adopted by multiple teams.</li>
<li>Strong understanding of access control, RBAC, and compliance constraints in regulated environments.</li>
<li>Proven ability to lead cross-functional architectural initiatives across product, analytics, and infrastructure teams.</li>
<li>Clear communication skills and a track record of influencing standards across an organization.</li>
<li>Experience working with AI-assisted development tools or cloud-based coding environments (e.g., Claude Code, Codex, Cursor, internal code generation frameworks, or similar systems).</li>
<li>Strong understanding of governance considerations for GenAI systems, including access control, prompt safety, sensitive data handling, and auditability.</li>
<li>Perspective on how structured data models and contracts improve AI reliability and downstream automation.</li>
</ul>
Bonus if you have&hellip;
<ul>
<li>Experience designing reverse ETL frameworks or operational activation pipelines.</li>
<li>Familiarity with metadata and governance platforms (e.g., Unity Catalog, Collibra, OpenMetadata).</li>
<li>Experience building internal developer platforms for event logging or data publishing.</li>
<li>Experience working in regulated environments involving PHI/PII.</li>
<li>Experience integrating streaming systems (Kafka/Kinesis) with warehouse and lakehouse ecosystems.</li></ul> 


Benefits
<ul>
<li>Flexible, hybrid work environment at our convenient Soho location</li>
<li>Unlimited Vacation</li>
<li>100% paid employee health benefit options (including medical, dental, and vision)</li>
<li>Commuter Benefits</li>
<li>401(k) with employer funded match</li>
<li>Corporate wellness program with Wellhub</li>
<li>Sabbatical leave (for employees with 5+ years of service)</li>
<li>Competitive paid parental leave and fertility/family planning reimbursement</li>
<li>Cell phone reimbursement</li>
<li>Catered lunch everyday along with beverages and snacks</li>
<li>Employee Resource Groups and ZocClubs to promote shared community and belonging</li>
<li>Great Place to Work Certified</li></ul><div> 
About us 
Zocdoc is the country's leading digital health marketplace that helps patients easily find and book the care they need. Each month, millions of patients use our free service to find nearby, in-network providers, compare choices based on verified patient reviews, and instantly book in-person or video visits online. Providers participate in Zocdoc's Marketplace to reach new patients to grow their practice, fill their last-minute openings, and deliver a better healthcare experience. Founded in 2007 with a mission to give power to the patient, our work each day in pursuit of that mission is guided by our six core values. Zocdoc is a private company backed by some of the world's leading investors, and we believe we're still only scratching the surface of what we plan to accomplish. 

Zocdoc is a mission-driven organization dedicated to building teams as diverse as the patients and providers we aim to serve. In the spirit of one of our core values - Together, Not Alone, we are a company that prides itself on being highly collaborative, and we believe that diverse perspectives, experiences and contributors make our community and our platform better. We're an equal opportunity employer committed to providing employees with a work environment free of discrimination and harassment. Applicants are considered for employment regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity, gender expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or any other class protected by applicable laws. 
 
Job Applicant Privacy Notice</div></div>

Staff Data Platform Engineer

Scale

Founding Data &amp; Operations EngineerSan Francisco, CA (On-Site) | $200K&ndash;$280K BaseBuild the Infrastructure Behind the Future of Global FinanceWe are building a next-generation financial platform that unifies banking, payments, and crypto into a single, seamless experience. Our mission is to expand financial access globally&mdash;particularly in regions where traditional systems have failed&mdash;and give millions of people a better way to move and manage money.Our team is intentionally small and senior. We&rsquo;ve previously built and scaled products used by hundreds of millions of users and generating billions in revenue. Now, we are doing it again&mdash;this time with immediate distribution through key partners and a clear path to global scale.We are looking for a Founding Data &amp; Operations Engineer to design and build the core systems that will power everything we do.What You&rsquo;ll Own<ul><li>Architect and build the data infrastructure that underpins our entire platform</li><li>Create systems that enable accurate financial ledgers across multiple partners and accounts</li><li>Design pipelines that support fraud detection, AML workflows, and risk modeling</li><li>Build a unified analytics layer that gives teams real-time, reliable insights</li><li>Establish secure data access patterns that maintain governance, lineage, and compliance</li><li>Define and document best practices for infrastructure and data systems as we scale</li></ul>What You Bring<ul><li>5+ years of experience building and shipping data platforms or pipelines at scale</li><li>Deep expertise with Terraform, dbt, SQL, and AWS</li><li>Strong experience in FinTech environments (banking, payments, crypto, lending, etc.)</li><li>Background in data modeling, ETL/ELT, or event-driven systems</li><li>Ability to think across systems&mdash;data, backend, and infrastructure</li><li>Clear and effective technical communication</li></ul>What Makes You Stand Out<ul><li>Experience with global payments, ledgering, or financial systems</li><li>Exposure to fraud detection or compliance workflows</li><li>Ability to translate complex data into clear insights and systems</li><li>Experience working in small, high-performance teams</li></ul>Why This Role Is Different<ul><li>Founding-level ownership: You will define core architecture and systems from the ground up</li><li>Immediate impact: Your work directly powers products used by millions</li><li>High-caliber team: Work alongside experienced operators and engineers with proven track records</li><li>Speed and autonomy: No layers, no bureaucracy&mdash;just execution</li><li>Global scale: Build infrastructure that supports a worldwide user base from day one</li></ul>Our CultureWe operate with a strong bias toward ownership, speed, and precision. Every person on the team contributes meaningfully to both product and company direction. We value individuals who take initiative, communicate openly, and are driven to build at a high level.Compensation<ul><li>Base salary: $200,000&ndash;$280,000</li><li>Additional compensation and benefits discussed during the process</li></ul>Final ThoughtThis is an opportunity to build the data foundation of a global financial platform from the earliest stages. If you are motivated by ownership, technical depth, and real-world impact, we want to hear from you.Pay: $200,000.00 - $280,000.00 per yearApplication Question(s):<ul><li>Do you have experience working at banking/credit card/crypto/remittances/lending startups?</li><li>Do you have experience with data modeling, ETL/ELT, or event-driven systems?</li><li>Do you have extensive hands-on experience building scalable data architectures in a consumer-oriented FinTech environment using Terraform, dbt, and SQL?</li><li>Do you have at least 5+ years building and shipping data pipelines and platforms?</li><li>Do you have experience generally across the backend: working with Postgres, Redis, AWS, etc?</li></ul>Work Location: In person

Senior Data Engineer

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