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data software engineer

Genius Sports

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before.
<br><br>
About the Role
<br><br>
We are looking for strong software engineers who are hungry to learn continuously and take ownership of the tools and products that they work on in accordance with best practices for Agile Software Development. We believe that a good engineer can move from one project to another and can learn new skills effortlessly if they are motivated by what they do. Don't let the language or framework you know now be a barrier to applying for the role you would like!
<br><br>
We will lean on your technical expertise and your pragmatic approach to problem solving; working in a team that prioritizes the principles of Agile delivery and continuous improvement. You will have a Data-driven, evidence-based mentality, comfortable with the principles of continuous experimentation and validation.
<br><br>
Key Responsibilities
<br><br>
Design, develop, and maintain data processing applications and services using Spark, Java, Kotlin
<br>Build and maintain ETL pipelines and Data Processing architectures
<br>Implement and manage relational databases, ensuring data integrity and performance.
<br>Optimize applications for maximum speed and scalability.
<br>Write clean, maintainable, and efficient code.
<br>Troubleshoot and debug applications.
<br>Stay up-to-date with emerging technologies and industry trends
<br><br>
Qualifications
<br><br>
Proven experience as a Software Engineer.
<br>Proficiency in one distributed columnar data store (Spark, Hive, Redshift, Presto, Snowflake)
<br>Proficiency in a compiled language(Java, Scala, Kotlin, Python)
<br>Strong understanding of relational databases (e.g., MySQL, PostgreSQL).
<br>Familiarity with version control systems (e.g., Git).
<br>Excellent problem-solving skills and attention to detail.
<br>Ability to work independently and as part of a team.
<br>Strong communication skills.
<br><br>
Preferred Qualifications
<br><br>
Experience with cloud platforms (e.g., AWS, Azure, GCP).
<br>Familiarity with Agile development methodologies.
<br>Experience with testing frameworks (e.g., JUnit).
<br>Familiarity with Kubernetes / Docker
<br><br>
The base salary range for this role is $145,000 - $200,000. There are a number of factors which affect what the specific pay offer would be for this role, including location, seniority, and relevant educational and working experience. This is base salary only – all full-time roles will also be eligible to take part in Genius benefits and some roles may be eligible to take part in a variable compensation plan. For more details on the compensation and benefits package, please get in touch with our Talent team.
<br><br>
We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.
<br><br>
As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career.
<br><br>
One team, being brave, driving change
<br><br>
We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference.
<br><br>
Let us know when you apply if you need any assistance during the recruiting process due to a disability.

Software Engineer, Data

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Data &amp; AI Engineer</div><br>
<div><br>
</div><ul><li> 4-6 years of Data Engineering experience with proven hands-on experience in Big Data technologies and Business Intelligence tools.
</li></ul><ul><li> Understanding of Agile or other rapid application development methods. Exposure to design and coding across one or more platforms and languages as appropriate.
</li></ul><ul><li> Exposure to application design, software development, and automated testing methodologies.
</li></ul><ul><li> Experience with CI/CD practices using Git, Jenkins, and code integration/review processes.
</li></ul><ul><li> Backend platform: Experience building data connectors with relational &amp; nonrelational backend databases including MongoDB, PostgreSQL, and custom API Connectors.
</li></ul><ul><li> Google Cloud Platform Expertise: Hands-on experience with GCP services like BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Composer (Airflow DAGs), and Cloud Functions.
</li></ul><ul><li> Programming Languages: Strong proficiency in Python and SQL for data ingestion, processing, and manipulation.
</li></ul><ul><li> ETL/ELT: Experience with ETL/ELT processes and data warehousing concepts.
</li></ul><ul><li> Data Modeling: Understanding of data modeling principles and techniques.
</li></ul><ul><li> Cloud Technologies: Knowledge of cloud computing concepts and standard processes.
</li></ul><ul><li> AI / ML: Experience with Statistical / Predictive Modeling, Machine Learning, A/B testing, and designing feature experiments
</li></ul><div>&bull; AI Frameworks: &bull;Experience supporting AI integrations ML pipelines including BigQuery ML, or other GCP AI/ML services
</div><ul><li> BI Tools: Experience working with BI tools including Tableau and PowerBI
</li></ul><ul><li> Problem-Solving: Excellent analytical and problem-solving skills.
</li></ul><ul><li> Experience working with large datasets, ODL, identifying ingestion issues and proactively collaborating to resolve data related issues.
</li></ul><ul><li> Passion for travel/airports a plus.
</li></ul><ul><li> Experience with LLMs, Generative AI, or NLP systems.
</li></ul><ul><li> Familiarity with feature stores and model registries.
</li></ul><ul><li> Knowledge of data governance and compliance standards.
</li></ul><ul><li> Experience with real-time analytics and streaming architectures.
</li></ul><ul><li> Certifications in cloud or AI technologies.
</li></ul><ul><li> Design, build, and maintain scalable data pipelines (batch and streaming) supporting real-time / near-real-time data integration for Lounge Services Analytics use cases.
</li></ul><ul><li> Develop and optimize ETL/ELT processes for structured and unstructured data from various backend DBs and sources including MongoDB, PostgreSQL, APIs, and third-party systems.
</li></ul><ul><li> Architect and manage cloud-native data infrastructure/warehouses within Google Cloud Platform (BigQuery) environments.
</li></ul><ul><li> Orchestrate Data Transformations with Cloud Composer / Airflow DAGs.
</li></ul><ul><li> Enable trusted, analytics-ready datasets to support Tableau dashboards and analytics.
</li></ul><ul><li> Experience with observability and monitoring tools such as Datadog, CloudWatch, Prometheus, or similar platforms.
</li></ul><ul><li> Implement data monitoring, logging, and observability frameworks to ensure data quality, integrity, governance and security standards are met.
</li></ul><ul><li> Build AI / ML models and integrations to support predictive &amp; personalized use cases including lounge recommendations, capacity forecasting, and lounge optimization
</li></ul><ul><li> Collaborate with cross-functional teams including Analytics, Product &amp; Business to define data requirements and deliver solutions.
</li></ul><ul><li> Optimize data storage and processing for performance and cost-efficiency (partitioning and indexing solutions).
</li></ul><ul><li> Implement and enforce data governance standards, including data classification, access controls, and retention policies.
</li></ul><ul><li> Develop and maintain metadata management practices, including data lineage, catalog documentation, and business glossary alignment.</li></ul><br>
<div><br>
</div><div>Salary Range- $100,000-$120,000 a year
</div></div></div></div><div><div><div><b>Location</b></div>
<div>New York, NY</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>403669</div>
</div><div><div><b>Desired Skills</b></div>
<div>Big Data</div>
</div><div><div><b>Salary Range</b></div>
<div>$100,000-$120,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

Data & AI Engineer

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>8 years of experience programming in C++, Java, Python, Kotlin or Go.</li>
<li>3 years of experience with software design and architecture.</li>
<li>Experiencing in a leadership role managing other individual contributors.
</li><li>Experience in data analysis.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master&rsquo;s degree or PhD in Engineering, Computer Science, or a related technical field.</li>
<li>3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.<br>
</li>
<li>Experience with both C++ and Python.</li>
<li>Experience in data harvesting.</li>
<li>Experience in Generative AI.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to manage information at a massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.<br>
<br>
The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.<div></div><div><br>
The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</div><div></div><div><br>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Lead a team of software engineers by setting clear expectations, delivering career growth mentoring, writing performance assessments and promotion cases.</li>
<li>Collaborate with team members and upper managers and other stakeholders to set Objectives and Key Results (OKRs), track them and make course corrections where necessary, in order to ensure that they are achieved.</li>
<li>Create high-level roadmaps and define technical approaches for the team's areas of responsibility.</li>
<li>Build relationships with peer managers in adjacent teams that either support the team's projects or serve as clients, and influence cross-functional collaboration to develop ideas and agreements for future join initiatives.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff Software Engineer, Local Data Products

Integral Ad Science

<div><p><b>Job Description:</b></p><p></p><p>
As a<b> Senior Software Engineer</b>, you will make a solid contribution in software design, development, writing test cases, QA, documentation, fixing software defects. You will be working with cutting edge cloud technologies, building robust, scalable, high performance software solutions which help our customers to launch campaigns, activate tags, ads verification and optimizations.</p><p>
The ideal candidate will have strong expertise in <b>Backend</b> <b>Java, Spring Boot, </b>JPA, relational database, <b>big data</b> warehouse, AWS services, enjoys working in a collaborative and agile environment, and brings innovative solutions to complex problems with a desire to improve the status quo.</p><p></p><p><b>
What you&rsquo;ll do:</b></p><ul><li>
Design, build and integrate Java micro services which talks to React front end and MySQL database.</li><li>
Hands-on development, code reviews, testing, deployment, and documentation.</li><li>
Fix software bugs and respond to incident escalated to our team</li><li>
Collaborate with other engineers in the team to deliver product features on time, elevate the team's coding standard, and promote best practices through thorough code and design reviews and improved processes</li><li>
Partner with the Product team and other stakeholders across the company to understand product requirements, gather business and technical requirements from broadcaster clients, and research and develop solutions, including API development</li><li>
Automate cloud infrastructure, services, and observability</li><li>
Develop CI/CD pipelines and testing automation</li></ul><p></p><p><b>
Who you are and what you have:</b></p><ul><li>
Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related STEM field.</li><li>
8+ years of experience in backend development.</li><li>
Proficiency in Java, Spring, Spring Boot and JPA.</li><li>
2+ years of experience working with big-data stack, including Spark and Kafka</li><li>
Extensive experience with relational DB, e.g., MySQL or PostgreSQL.</li><li>
Advanced understanding of SQL, data model design, dimensional modeling, database performance troubleshooting and improvement.</li><li>
Have a sense of security, both authentication and authorization when design and build API</li><li>
Good understanding of RESTful API and gRPC design and implementation.</li><li>
Familiarity with cloud platforms (e.g., AWS).<ul><li>
Experienced in building and deploying scalable backend systems on AWS using services like EC2, RDS, S3, SQS, and EKS.</li><li>
Familiar with monitoring and log analysis using Grafana for observability and performance tuning.</li></ul></li><li>
Good knowledge of git, Jenkins and CI/CD</li></ul><p></p><p><b>
What puts you over the top:</b></p><ul><li>
Prior tech lead experience</li><li>
Experience with system design and architecture</li><li>
Superior problem solving, and the capability to explain a complex problem clearly to non technical people</li><li>
Knowledge of Databricks</li><li>
Experience in AdTech</li></ul><p></p><p><b>
IAS Pay Transparency:
</b></p><p>The annualized base salary ranges for the primary location, and any additional locations are listed below. Our pay ranges are based on the work location. As part of IAS compensation package, we offer a comprehensive benefits package that includes paid time off, health insurance (medical, dental, vision) as well as PPO, HSA and FSA options and 401k with employer matching contributions. All full-time employee roles include competitive compensation and are eligible for an annual bonus and/or other incentive plans. Each candidate&rsquo;s compensation package is based on multiple factors, but not limited to, geography, experience, skills, job duties, and business need.</p><p></p><p><b>
Primary Location:
</b></p>US - New York, NY<p><b>
Primary Location Base Pay Range:</b></p><p></p>
$108,500.00 - $186,000.00 Annual<p><b>
Additional Locations:
</b></p>US - Chicago, IL<p><b>
Additional Locations Pay Range:
</b></p>103,600.00 - 177,600.00 USD Annual<p></p><p><b>
About Integral Ad Science:</b></p><p>
Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry&rsquo;s most actionable data to drive superior results for the world&rsquo;s largest advertisers, publishers, and media platforms. IAS&rsquo;s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.</p><p></p><p><b>
Equal Opportunity Employer:</b></p><p>
IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.</p><p></p><p><b>
California Applicant Pre-Collection Notice:</b></p><p>
We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact us at compliance@integralads.com.</p><p></p><p><b>
Attention agency/3rd party recruiters: </b>IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to recruitingagencies@integralads.com. We will get back to you if there's interest in a partnership.</p></div>

Senior Software Engineer- Java- Big Data

<div><p><b>Job Description:</b></p><p>
As a <b>Staff Software Engineer</b>, you will make a solid contribution in software design, development, writing test cases, QA, documentation, fixing software defects. You will be working with cutting edge cloud technologies, building robust, scalable, high performance software solutions which help our customers to launch campaigns, activate tags, ads verification and optimizations.</p><p></p><p>
The ideal candidate will have strong expertise in <b>Java, Spring Boot, JPA</b>, relational database, <b>big data</b> warehouse, AWS services, enjoys working in a collaborative and agile environment, and brings innovative solutions to complex problems with a desire to improve the status quo.</p><p></p><p><b>
What you&rsquo;ll do:</b></p><p></p><ul><li>
Design, build and integrate Java micro services which talks to React front end and MySQL database.</li><li>
Hands-on development, code reviews, testing, deployment, and documentation.</li><li>
Fix software bugs and respond to incident escalated to our team.</li><li>
Collaborate with other engineers in the team to deliver product features on time, elevate the team's coding standard, and promote best practices through thorough code and design reviews and improved processes.</li><li>
Partner with the Product team and other stakeholders across the company to understand product requirements, gather business and technical requirements from broadcaster clients, and research and develop solutions, including API development.</li><li>
Automate cloud infrastructure, services, and observability.</li><li>
Develop CI/CD pipelines and testing automation</li></ul><p></p><p><b>
You should apply if you have most of this experience:</b></p><p></p><ul><li>
Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related STEM field.</li><li>
12+ years of experience in backend development.</li><li>
Proficiency in Java, Spring, Spring Boot and JPA.</li><li>
2+ years of experience working with big-data stack, including Spark and Kafka</li><li>
Extensive experience with relational DB, e.g., MySQL or PostgreSQL.</li><li>
Advanced understanding of SQL, data model design, dimensional modeling, database performance troubleshooting and improvement.</li><li>
Have a sense of security, both authentication and authorization when designing and building API</li><li>
Good understanding of RESTful API and gRPC design and implementation.</li><li>
Familiarity with cloud platforms (AWS).</li><li>
Experienced in building and deploying scalable backend systems on AWS; using services like EC2, RDS, S3, SQS, and EKS.</li><li>
Familiar with monitoring and log analysis using Grafana for observability and performance tuning.</li><li>
Good knowledge of git, Jenkins and CI/CD</li><li>
Excellent problem-solving skills and attention to detail.</li><li>
Strong verbal and written communication skills and the ability to work effectively</li><li>
in a team environment.</li></ul><p></p><p><b>
IAS Pay Transparency:
</b></p><p>The annualized base salary ranges for the primary location, and any additional locations are listed below. Our pay ranges are based on the work location. As part of IAS compensation package, we offer a comprehensive benefits package that includes paid time off, health insurance (medical, dental, vision) as well as PPO, HSA and FSA options and 401k with employer matching contributions. All full-time employee roles include competitive compensation and are eligible for an annual bonus and/or other incentive plans. Each candidate&rsquo;s compensation package is based on multiple factors, but not limited to, geography, experience, skills, job duties, and business need.</p><p></p><p><b>
Primary Location:
</b></p>US - New York, NY<p><b>
Primary Location Base Pay Range:</b></p><p></p>
$126,000.00 - $216,000.00 Annual<p><b>
Additional Locations:
</b></p>US - Chicago, IL<p><b>
Additional Locations Pay Range:
</b></p>119,000.00 - 204,000.00 USD Annual<p></p><p><b>
About Integral Ad Science:</b></p><p>
Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry&rsquo;s most actionable data to drive superior results for the world&rsquo;s largest advertisers, publishers, and media platforms. IAS&rsquo;s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.</p><p></p><p><b>
Equal Opportunity Employer:</b></p><p>
IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.</p><p></p><p><b>
California Applicant Pre-Collection Notice:</b></p><p>
We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact us at compliance@integralads.com.</p><p></p><p><b>
Attention agency/3rd party recruiters: </b>IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to recruitingagencies@integralads.com. We will get back to you if there's interest in a partnership.</p></div>

Staff Software Engineer- Backend Java- Big Data

Zocdoc

<div><div><p><b>Our Mission</b></p><br>
<p>
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.</p><br>
<p></p>
<p>
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.</p><br>
<p></p>
<p>
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.</p></div><p></p><p><b><br>
Your Impact on our Mission:</b></p>
<p>
We're hiring a Staff Software Engineer (Data Platform) to define and lead the evolution of Zocdoc's data platform at the intersection of data engineering and product engineering.</p>
<p>
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.</p>
<p>
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.</p>
<p>
You will define how:</p>
<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>
<p>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.</p>
<p><b>
You'll enjoy this role if you are&hellip;</b></p>
<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>
<p><b>Your day to day is&hellip;</b></p>
<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>
<p><b>You'll be successful in this role if you have&hellip;
</b></p><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>
<p><b>Bonus if you have&hellip;</b></p>
<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>
<p></p><p><b>Benefits</b></p>
<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>
<p></p><div><p><b>About us</b><br>
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.</p><br>
<p>
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 - <i>Together, Not Alone</i>, 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.<br>
<br>
Job Applicant Privacy Notice</p></div></div><p></p>

Staff Software Engineer, Data Platform

Rippling

<div><h2 class="jobSectionHeader"><b>About Rippling</b></h2><p>
Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.</p><p></p><p><br>
Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365&mdash;all within 90 seconds.</p><p></p><p><br>
Based in San Francisco, CA, Rippling has raised $1.4B+ from the world&rsquo;s top investors&mdash;including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock&mdash;and was named one of America's best startup employers by Forbes.</p><p></p><p><br>
We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.</p><h2 class="jobSectionHeader"><b><br>
About the role</b></h2><p>
The Data Bridge team at Rippling is assembling founding members to build data systems that will power ML models and new product lines. Our team is a foundational platform component positioned at the core of Rippling's compound startup strategy. We're set to build advanced data systems, enabling Rippling to exceed its current 500+ integrations and solidify its reputation as the go-to for launching groundbreaking HR, IT, and Benefits products.</p><p>
As the market increasingly rewards organizations that own scaled distribution networks, control extensive data sets, and rapidly bring products to market, Rippling and the Data Bridge team are poised to lead. If you are serious about your craft, eager to establish infrastructure with a long-term impact, and have a focused approach to delivering substantial value quickly, we&rsquo;d love to have you on the Data Bridge team at Rippling.</p><h2 class="jobSectionHeader"><b>
What you will do</b></h2><ul><li>
Lead mission-critical projects and deliver data ingestions capabilities end-to-end with high quality</li><li>
Have clear ownership of one or many products, APIs or platform spaces</li><li>
Work within Rippling's central infrastructure team, responsible for delivering highly scalable distributed data ingestion systems, build a data lake architecture for various downstream systems to consume</li><li>
Get exposure to partners and customers in different business domains, who will help provide feedback for your product space</li><li>
Ensure operational excellence and scale the platform capabilities to serve many different UCs across Rippling Products.</li><li>
Build and grow your engineering skills in different challenging areas and solve hard technical problems</li><li>
Influence architecture, technology selections, and trends of the whole company</li></ul><h2 class="jobSectionHeader"><b>
What you will need</b></h2><ul><li>
8+ years of professional work experience as a backend engineer</li><li>
Significant leadership experience driving complex cross-functional projects across teams, product managers, designers, etc</li><li>
Expertise in building complex distributed services with high availability and strict SLAs</li><li>
Experience building large-scale user-facing applications, APIs, and developer tools</li><li>
Strong CS fundamentals, and knowledge of architecture and common design patterns</li><li>
You&rsquo;re passionate about being in a product-focused environment where everyone cares deeply about customer impact</li><li>
You have experience of running data processing pipelines in production using distributed data processing frameworks like Apache Spark or Flink.</li><li>
Bonus points if you&rsquo;ve built integrations with 3rd party SaaS providers and workflow orchestration systems</li><li>
Bonus points if you&rsquo;ve previously worked with AWS and have working knowledge of observability tooling</li></ul><h2 class="jobSectionHeader"><b>
Additional Information</b></h2><p>
Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accommodations@rippling.com</p><p></p><p><br>
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.</p><p></p><p><br>
This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.</p><p></p><p><br>
A variety of factors are considered when determining someone&rsquo;s compensation&ndash;including a candidate&rsquo;s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.</p><b><br>
The pay range for this role is:</b><br>
189,000 - 330,750 USD per year(US Tier 1)</div>

Staff Software Engineer - Data Bridge

Explore 1066+ Data software engineer in New York this April. Find roles across top companies and apply now to boost your career.