data platform engineer

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Healthcare should work for patients, but it doesn't. In their time of need, they call down outdated insurance directories.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

Early Warning Services

<div>At Early Warning, we&rsquo;ve powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle&reg;, Paze℠, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.
Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.
Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.
Overall Purpose
The Sr. Data Platform Support Engineer serves as the technical owner and administrator for critical enterprise data platform applications. This role is responsible for ensuring the stability, performance, and scalability of assigned systems while providing expert-level application and system support. The engineer will design, implement, and maintain integrations across enterprise applications, establish best practices for administration and security, and lead automation initiatives to improve system efficiency.
Essential Functions
Application Ownership &amp; Administration<ul><li>
Serves as the primary owner and administrator for assigned data platforms.</li><li>
Architects, configures, and maintains applications to align with business and technical requirements.</li><li>
Establishes best practices for system administration, performance optimization, risk management, and security.</li><li>
Maintains a platform road map and works with leadership to prioritize enhancements and upgrades.</li></ul>
 Support, Troubleshooting &amp; Incident Management
<ul><li>Provides expert-level application and system support to internal teams and user communities.</li><li>
Diagnoses, troubleshoots, and resolves complex application issues; escalates to infrastructure support or vendor teams as necessary.</li><li>
Performs root cause analysis and implements preventative measures to ensure system reliability.</li><li>
Maintains ownership of all assigned issues through resolution and documentation.</li></ul>
Architecture, Integration &amp; Optimization<ul><li>
Designs and implements integrations between data platforms and other enterprise systems.</li><li>
Evaluates and enhances system architecture to meet changing business needs.</li><li>
Conducts performance monitoring and tuning, ensuring optimal uptime and resource utilization.</li><li>
Defines and tracks KPIs, SLAs, and other operational metrics in collaboration with stakeholders.</li></ul>
Automation &amp; Process Improvement<ul><li>
Develops and deploys automation scripts and tools to improve efficiency and reduce manual workloads.</li><li>
Leads or participates in automation and optimization projects across the data platform ecosystem.</li></ul>
Vendor &amp; Third-Party Application Management<ul><li>
Researches, evaluates, and recommends third-party applications that align with business objectives.</li><li>
Ensures successful installation, validation, and documentation of vendor-provided upgrades and patches.</li></ul>
License &amp; Budget Management<ul><li>
Monitors license usage, forecast needs, and manage compliance with licensing agreements.</li><li>
Provides metrics and budget recommendations during annual planning cycles.</li><li>
Documentation, Reporting &amp; User Enablement</li><li>
Develops and maintains comprehensive documentation, including policies, procedures, and configuration details.</li><li>
Delivers user training sessions and promote best practices to drive adoption and proficiency.</li><li>
Provides timely and accurate reporting on application of health, performance, and project status.</li></ul>
Project &amp; Change Management<ul><li>
Manages projects involving new functionality, integrations, and process automation.</li><li>
Supports the organization&rsquo;s data security, privacy, and compliance initiatives.</li><li>
Implements and maintains security standards, access controls, and audit readiness.</li><li>
Ensures systems adhere to company policies and industry best practices.</li></ul>
Minimum Qualifications<ul><li>
Education or experience typically obtained through completion of a bachelor&rsquo;s degree in computer science, information systems, engineering, or related field.</li><li>
5-8 years of experience supporting enterprise applications, data platforms, or system integrations in a production environment.</li><li>
Strong knowledge of SQL, data integration tools, APIs, scripting languages (Python, PowerShell, Bash), and automation frameworks.</li><li>
Familiarity with cloud-based platforms (AWS, Azure, GCP) and related monitoring tools. Experience with ETL/ELT pipelines, data governance frameworks, and data warehouse technologies preferred.</li><li>
Experiencing managing Tableau and/or Cloudera infrastructure preferred
</li><li>Excellent problem-solving, communication, and collaboration skills.</li><li>
Proven ability to manage multiple priorities and deliver solutions in a dynamic environment.</li><li>
Strong analytical mindset with attention to detail and continuous improvement.</li></ul>
Preferred Qualifications<ul><li>
AWS, Cloudera, or Tableau</li></ul>
Physical Requirements
Working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers.
Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.
The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow instructions and perform other related duties as assigned by their supervisor. 
 
The base pay scale for this position in: 
Phoenix, AZ/ Chicago, IL in USD per year is: $94,000 - $118,000. 
San Francisco, CA in USD per year is: $114,000 - $142,000. 
Additionally, candidates are eligible for a discretionary incentive plan and benefits.
This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer. Early Warning Services takes into consideration a variety of factors when determining a competitive salary offer, including, but not limited to, the job scope, market rates and geographic location of a position, candidate&rsquo;s education, experience, training, and specialized skills or certification(s) in relation to the job requirements and compared with internal equity (peers). The business actively supports and reviews wage equity to ensure that pay decisions are not based on gender, race, national origin, or any other protected classes.
Some of the Ways We Prioritize Your Health and Happiness<ul><li> 
Healthcare Coverage &ndash; Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health &amp; dependent care expenses.</li><li>
401(k) Retirement Plan &ndash; Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.</li><li>
Paid Time Off &ndash; Flexible Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.</li><li>
12 weeks of Paid Parental Leave
</li><li>Maven Family Planning &ndash; provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.</li></ul> 
And SO much more! We continue to enhance our program, so be sure to check our Benefits page here for the latest. Our team can share more during the interview process!
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Early Warning Services, LLC (&ldquo;Early Warning&rdquo;) considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees.</div>

Sr. Data Platform Support 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

Discord

Discord is used by over 200 million people every month for many different reasons, but there&rsquo;s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games.We're looking for someone who gets excited about building data infrastructure at massive scale and cares deeply about the gaming communities we serve. Someone with passion for building lovable products for Discord users and Discord engineers. We're building the next generation Data Platform that powers decisions for one of the most vibrant platforms in the world. If you're the kind of Staff Engineer who sees ambiguity as an invitation &mdash; who builds systems that make whole teams faster, shapes technical strategy across the org, and wants your decisions to directly impact millions of gamers worldwide &mdash; we want to talk to you. To learn more about Discord's Data Platform, read our engineering blog, including how we built our modern data stack leveraging open-source tools! This position is based in our San Francisco office. What You'll Be Doing Own the technical direction of major Data Platform initiatives like GRC, scaling, or stream processing, from problem to production system and post-launch health Be a force multiplier: build reusable primitives, unblock teammates, and raise the quality bar across the team Stay a top code contributor. You write real production code while helping others reach the same bar Partner with XFN stakeholders to translate business problems into clear technical strategy Champion debate, decide, and commit and 80/20 thinking to drive robust technical solutions supporting multiple team What you should have 7+ years of software engineering experience with a track record of driving large, ambiguous technical initiatives end-to-end Expertise in distributed systems and data infrastructure at scale. You've anticipated hard problems before they became incidents Demonstrated ability to multiply a team's impact through architectural thought leadership, design reviews, reusable abstractions, and well-timed mentorship Strong technical judgment: when to go fast vs. slow, when to build vs. integrate, and how to bring stakeholders along Cross-functional influence: you've driven alignment across engineering, product, and business without relying on authority Bonus Points Passion for Discord and gaming Experience with data governance, privacy compliance, real-time analytics infrastructure, or cost optimization in large-scale data environments Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). Relocation assistance may be available. The US base salary range for this full-time position is $248,000 to $279,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.Why Discord?Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord&rsquo;s collection and usage of personal information relating to the application and recruitment process by clickingHERE.

Staff Software Engineer, Data Platform

Twitch

<div>
 
 About Us
 
 
 
 Twitch is the world&rsquo;s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
 
 
 We&rsquo;re about community, inside and out. You&rsquo;ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We&rsquo;re on a quest to empower live communities, so if this sounds good to you, see what we&rsquo;re up to on LinkedIn and X, and discover the projects we&rsquo;re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
 
 
 
 About The Role
 
 
 
 As a data engineer in the Data Platform organization, you will be transforming Twitch&rsquo;s largest data sets into offerings that are usable by the entire company. You&rsquo;ll be working with other senior team members, as well as other data engineers, scientists, and stakeholders from all across the business. You will help define how our core business metrics are managed, as well as how other parts of the company define their individual metrics.
 
 
 
 You Will:
 
 
 
 
 <ul>
 <li>
 Work closely with data scientists and engineers from across the company to define and create robust data architectures and pipelines
 </li>
 <li>
 Develop and manage scalable data pipelines to extract, transform, and load data from various sources
 </li>
 <li>
 Partner with a range of stakeholders to translate the company&rsquo;s needs into data offerings
 </li>
 <li>
 Automate data processing and reporting workflows to improve efficiency and data integrity
 </li>
 <li>
 Implement data quality checks and monitor processes to maintain high data accuracy
 </li>
 <li>
 Simplify and enhance the accessibility, clarity, and usability of large and complex datasets through the development of data cubes and data sharing solutions
 
 
 
 </li>
 </ul>
 
 You Have:
 
 
 
 
 <ul>
 <li>
 3+ year of experience working in a data engineering, data science, or software engineering capacity
 </li>
 <li>
 Expertise in writing and maintaining robust data pipelines in SQL and Python
 </li>
 <li>
 A track record of turning data requirements from stakeholders into actionable plans
 </li>
 <li>
 Experience with cloud-native solutions
 </li>
 <li>
 A history of implementing and upholding best practices in data pipelines, ensuring accuracy, consistency, and reliability
 
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 
 <ul>
 <li>
 Bachelor's degree, or Master's degree in computer science, statistics, information systems, or a related, technical field
 </li>
 <li>
 Experience with a scripting language (e.g., Python, Java, or R)
 </li>
 <li>
 Familiarity and interest in Twitch!
 
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 
 <ul>
 <li>
 Medical, Dental, Vision &amp; Disability Insurance
 </li>
 <li>
 401(k)
 </li>
 <li>
 Maternity &amp; Parental Leave
 </li>
 <li>
 Flexible PTO
 </li>
 <li>
 Amazon Employee Discount
 
 
 
 </li>
 </ul>
 
 Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 
 Job ID: TW9042
 
 
 The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
 
 
 US, CA, San Francisco
 
 
 $152,000&mdash;$205,600 USD
 
 
 
 Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 
 
 
 
 Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.
 
</div>

Data Engineer

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>

RZR Global Inc.

<div>Who are we? 
 
RZR Global is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform includes creative strategy and execution. We handle 5 million mobile ad requests per second from over 10 billion devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC. 
<h4 class="jobSectionHeader">
Role Overview</h4>

We are seeking a motivated and detail-oriented Machine Learning Engineer to join our team. As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with Senior MLE and other team members to drive impactful machine learning projects and contribute to innovative solutions.
<h4 class="jobSectionHeader">
Key Responsibilities</h4>
<ul>
<li>Support the development of machine learning models to address challenges in programmatic advertising, such as predicting user responses, forecasting bid landscapes, and detecting fraud.
</li>
<li>Collaborate with senior data scientists and cross-functional teams (product, engineering, and analytics) to integrate models into production workflows.
</li>
<li>Analyze the impact of integrating new data sources and features into our models.
</li>
<li>Build and maintain data pipelines to process and prepare large datasets for model training and evaluation.
</li>
<li>Contribute ideas and assist in testing new tools, methodologies, and technologies to improve our machine learning capabilities.
</li>
<li>Document experiments, assumptions, and outcomes; maintain reproducibility
</li>
</ul><h4 class="jobSectionHeader">Required Skills / Experience</h4>
<ul>
<li>Bachelor's or Master's degree in Mathematics, Physics, Computer Science, or a related technical field.
</li>
<li>At least 1 year of professional experience in machine learning, statistical analysis, and data analysis.
</li>
<li>Experience with machine learning techniques such as regression, classification, and clustering.
</li>
<li>Proficiency in Python and SQL and familiarity with big data tools (e.g., Spark) and ML libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
</li>
<li>Strong grasp of probability, statistics, and data analysis principles.
</li>
<li>Ability to work effectively in a team environment, with good communication skills to explain complex concepts to diverse stakeholders.
</li>
</ul><h4 class="jobSectionHeader">Nice-to-Have</h4>
<ul>
<li>Familiarity with system programming languages including C++ and Rust is a plus.
</li>
<li>Exposure to online inference systems, gRPC/REST model endpoints, or streaming features (Kafka/Flink)
</li>
<li>Ad-tech familiarity: auction dynamics, pacing, fraud signals, creative personalization.</li></ul></div>

Machine Learning Engineer

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