Data Engineer at KaizenLabs | New York

Join KaizenLabs as a Data Engineer and be part of a dynamic team dedicated to leveraging data to drive innovation and efficiency. In this role, you will design, construct, and maintain scalable data pipelines and architecture, ensuring seamless data flow and accessibility. You will collaborate with cross-functional teams to understand data needs and deliver impactful solutions.

The City of New York is hiring a Data Engineer to support essential data projects that inform city decisions and strengthen public services. This full-time role is based in New York City and centers on using data analytics to address challenges across city operations. Role overview As a Data Engineer, you will play a key part in initiatives that shape how the city uses information to make choices and deliver services. The work involves collaborating with a team focused on improving processes and outcomes for residents. What you will do Contribute to projects that gather, organize, and analyze data for city departments Help translate complex data into practical insights for decision-makers Work with colleagues to find solutions that enhance city operations and public services Location This position is based in New York City and requires full-time availability.

Role Overview Kaizen Labs is hiring a Software Engineer (Product) in New York, NY. This role focuses on designing and building software that improves user experiences and supports business goals. The position sits within the product development team. What You Will Do Design and implement software features for new and existing products Work closely with teams across engineering, product, and design Help deliver reliable, high-quality solutions that support company growth Location This position is based in New York, NY.

Join our innovative team at Sunset as a Data Engineer. In this pivotal role, you will be responsible for designing, building, and maintaining robust data pipelines that facilitate data integration and analytics. Your expertise will help drive data-driven decision-making processes across the organization.We are looking for a passionate individual who thrives in a dynamic environment and is eager to tackle challenges in data management and analysis.

Join Our Innovative Team!Have you ever struggled to secure that ideal summer camping reservation at a state park? Have you wondered why you're still filling out outdated paper forms at the DMV? Or perhaps you've tried (and failed) to book a pickleball court from your mobile device?At Kaizen Labs, we are transforming the way government services are delivered by creating modern, user-friendly software that millions of Americans rely on daily. From parks and recreation to permitting, licensing, and payments, we're replacing old systems with sleek, intuitive technology designed for both residents and the public servants who assist them.Our platform currently supports over 50 agencies across 17 states, impacting more than 40 million residents. Recent collaborations include Maricopa County (AZ), San Bernardino County (CA), and the Cherokee Nation. Notably, in Maryland, our platform has significantly reduced traffic congestion at state parks, saving hundreds of thousands in costs while greatly enhancing visitor experiences.Founded in 2022 and headquartered in New York City, Kaizen Labs has raised $35 million from prestigious investors such as NEA, Andreessen Horowitz, Accel, 776, and Carpenter Capital.We are a passionate team of builders, designers, and operators, committed to redefining public service in the digital age—and this is just the beginning!

Join Lithic as a Data Engineer and play a crucial role in harnessing the power of data to drive insights and strategic decisions. In this dynamic position, you will collaborate with cross-functional teams to design, build, and maintain robust data pipelines and architectures. Your expertise in data engineering will contribute significantly to the optimization and performance of our data systems.

About the Role Cohere is looking for a Data Engineer in New York to help design, build, and maintain data infrastructure. This work supports reliable data flow and easy access across the organization. What You Will Do Design and implement data pipelines Build and maintain systems that support data accessibility Work closely with teams to deliver data-driven solutions for clients Who We’re Looking For This role suits someone who enjoys using data to solve problems and support better decision-making. Interest in building reliable systems and collaborating with others is important.

Join Our Mission!At withco, we recognize that vibrant neighborhoods contribute significantly to the fabric of our communities. Unfortunately, these neighborhoods are increasingly losing their unique character as local businesses are replaced by corporate chains or vacant storefronts. We aim to reverse this trend by empowering small business owners and the communities that support them.We are committed to enhancing the small business landscape in America, providing them with the opportunity to thrive and contribute to their communities. Our company has successfully raised over $30M from esteemed investors, including Founders Fund, Canaan, NFX, BoxGroup, and notable figures like Ken Chenault and Kevin Durant.Are you ready to be a part of this transformative journey?Your Role:As a Data Engineer, your role is crucial in transitioning properties from single-landlord management to community-driven ownership. You will develop a cohesive system that integrates data across various platforms, empowering small business owners with data-driven insights and strategies to thrive in the real estate market.Key Responsibilities:Build Robust Systems: Create a strong data transformation infrastructure that supports customer journeys within our data-centric applications.Data Integration: Leverage first and third-party data to provide transparent real estate pricing and financial insights to empower small business owners.Innovate and Optimize: Continuously enhance data systems to ensure they meet the evolving needs of our users and stakeholders.

Role overview The Senior Data Engineer at NBCUniversal Media, LLC plays a key part in developing and maintaining data solutions that power analytics and business intelligence throughout the organization. Based in New York, this position collaborates with teams from various departments to ensure that data remains accurate, accessible, and prepared for analysis. What you will do Design and build data pipelines and systems that meet analytics requirements Collaborate with cross-functional teams to uphold strong data quality and availability standards Apply modern technologies to streamline and automate data processing workflows

Join StubHub, a leader in redefining the live event experience on a global level. From first-time attendees to seasoned concertgoers, we strive to enhance every ticketing journey, ensuring our platform is the safest and most convenient for fans and sellers alike, whether they are individuals selling a single ticket or promoters orchestrating a global stadium tour.We are on the lookout for a skilled Senior Data Engineer to become an integral part of our Data team. In this capacity, you will design and implement the foundational systems and pipelines necessary for centralizing both StubHub’s internal data and third-party data sources. Our mission is to empower company-wide organizations to leverage data for analysis, reporting, new product innovation, experimentation, and machine learning. Your responsibilities will include developing the core infrastructure for our data lake and data warehouse, creating essential data models and pipelines, and crafting shared tools to facilitate the generation of high-quality, trustworthy data assets.As a Senior Data Engineer within the Data Platform team, your contributions will be pivotal in shaping core infrastructure, frameworks, and analytical data layers. You will also help define a culture of excellence in data engineering and mentor team members to achieve these standards. We seek a candidate who is not only passionate about the synergy between data and software development fundamentals but also capable of employing these principles to build a data ecosystem that is principled, maintainable, and scalable in alignment with StubHub's rapid growth. You will develop expertise in specific business domains, proactively anticipating the needs of those verticals.Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA

About PrizeoutPrizeout is an innovative fintech company on a mission to revolutionize the way individuals engage with their finances. By transforming routine transactions into rewarding experiences, we bridge the gap between payments, rewards, and loyalty. Our platform harnesses sophisticated analysis of transactional data to provide personalized insights, ensuring maximum value with each purchase. Established in 2019 and based in New York City, we are rapidly expanding our influence in the financial sector.Why Join Prizeout?At Prizeout, we are committed to reshaping the financial landscape through data-driven rewards. We seek passionate, analytical problem-solvers who excel in transforming complex data into impactful insights that foster loyalty and improve financial outcomes. Our culture emphasizes user-centric decision-making, and we deeply value traits such as humility, curiosity, and a sense of ownership.Role OverviewAs a Data Engineer at Prizeout, you will be responsible for managing the data that fuels our CashBack+ and credit union rewards ecosystem. You will oversee the complete lifecycle of financial data, ensuring accuracy in every transaction, recognition of every action, and timely delivery of rewards. Collaborating with core banking systems, card networks, and digital event data, your role will involve transforming complex datasets into clean, reliable signals that drive real-time insights and enhance loyalty programs.

At Similarweb, we are transforming the way businesses engage with the digital landscape by providing insights into the online world. Our innovative data solutions empower over 6,000 clients across the globe, including major players like Google, eBay, and Adidas, to make impactful decisions that enhance their digital strategies. Following our public listing on the New York Stock Exchange in 2021, we continue to achieve remarkable growth. Join a team of intelligent, inquisitive, and collaborative individuals from around the world who are dedicated to making a difference.We are seeking a Data Solutions Engineer (DSE) who can merge extensive technical knowledge with exceptional customer engagement skills to create and implement scalable data solutions for enterprise clients. You will collaborate with the Enterprise Sales and Account Management teams to conduct technical discovery, design solutions, and strategize integration within complex, consultative projects. This revenue-generating pre-sales position is centered on promoting technical adoption and ensuring long-term client success.

Polymarket operates the world’s largest prediction market platform, letting people trade on the outcomes of events in politics, economics, sports, culture, and current affairs. As a decentralized peer-to-peer marketplace, Polymarket aggregates diverse perspectives into transparent, market-based probabilities, reflecting collective expectations about the future. With $21B traded in 2025, Polymarket is growing quickly and aims to become a trusted source of truth in global media. The Senior Data Engineer role centers on advancing the data platform that underpins every user-facing aspect of Polymarket. The data layer supports features like leaderboards, PnL, activity feeds, positions, and analytics, all with strict sub-100ms latency goals at crypto scale. This position is based in New York and joins a small, high-ownership team where engineers manage workflows end-to-end, not just follow a set roadmap. Role overview This role involves hands-on work in design, architecture, and delivery. The main goal is to strengthen Polymarket’s analytics and data serving layer so it becomes a reliable foundation for the company. The Senior Data Engineer will tackle issues such as schema drift, migration parity, latency regressions, and cost management. When questions arise about data layer performance or cost, this engineer will either provide answers or redesign components to meet targets. What you will do Own the OLAP analytics layer. Lead the columnar warehouse from raw event ingestion to cleaned facts, business aggregates, and API-serving views. Tasks include materialized view design, refresh schedules, catalog management, query planning, and cost optimization. Partner on the OLTP serving layer. Work with the team on high-write serving tables that power product APIs. Focus on partition strategy, indexing, trigger pipelines, autovacuum tuning, and bloat monitoring, while maintaining sub-100ms read path targets. Shape streaming and data lake infrastructure. Define Kafka topic schema contracts, update the S3 lake layout with modern table formats, and contribute to tools that validate data accuracy during migrations. Design data models at scale. Work with event-sourced, append-mostly data that includes chain-reorganization semantics.

At Profound, we are dedicated to empowering organizations to effectively navigate and manage their AI presence. We are currently seeking a skilled Data Engineer to lead the development and enhancement of our data platform. In this role, you will be responsible for maintaining and optimizing our data pipelines, crafting innovative data ingestion processes, and addressing the data requirements of our product, data science, and go-to-market teams.This position is an excellent opportunity for individuals who thrive in working with cutting-edge data tools, enhancing system performance and reliability, and laying the groundwork for machine learning-driven functionalities.

ABOUT THE POSITION The American Civil Liberties Union (ACLU) is excited to announce a full-time opportunity for the Director of Engineering, Data within its Technology Department at the ACLU National office in New York, NY. This is a hybrid role requiring in-office attendance for two (2) days each week or eight (8) days monthly. The ACLU Technology Department encompasses a wide range of functions, including both the Analytics and Product & Engineering teams. These two innovative divisions are essential in driving the work of the ACLU, providing reliable analytics, engineering, product management, and design expertise. Collaborating with various experts, the technology team delivers premier solutions and services that further the ACLU's mission and objectives. Our aim is to exemplify ethical technology usage, maintaining privacy and security, using data-driven insights to guide programming and strategy, and ensuring high standards for algorithmic fairness and transparency. The Director of Engineering, Data will be an integral part of the Product & Engineering team, which comprises engineers, product managers, designers, and operations specialists dedicated to developing engaging digital products and secure technical systems that propel the ACLU's mission as a national guardian of rights and liberties.

Verve for Advertisers develops technology that helps brands and agencies reach audiences at meaningful moments and measure results across multiple devices. The company’s demand-side platform draws from one of the largest sources of on-site search intent data available outside of major closed ecosystems. Verve partners through direct SDK integrations with leading apps and maintains data relationships with over 3 million websites and large language models. This foundation enables the tracking of consumer actions and motivations, supporting accurate audience insights and activation across top-tier omnichannel platforms. Role overview This Data Engineer position is based in New York, NY, and is part of Verve’s engineering team. The role is full-time and supports both ongoing and new projects. On-site work at the NYC headquarters is available. What you will do Help design, build, and maintain data systems that drive Verve’s products and audience insights. Work with large-scale datasets to deliver analytics and activation tools for audience engagement. Collaborate with fellow engineers and cross-functional teams to support new features and expand data partnerships. Requirements Legal authorization to work in the United States is required. Only candidates meeting this criterion will be considered. Interest in working on data-driven advertising technology. Ability to work on-site in New York, NY if needed.

About the RoleJane Street is seeking a skilled Data Engineer dedicated to transforming our trading operations through robust data management. This role is pivotal as we strive to gain a comprehensive and precise understanding of the data that drives our trading strategies.In this position, you will leverage a combination of proprietary and open-source tools to analyze datasets from diverse sources. Your responsibilities will include identifying anomalies, standardizing data formats and symbologies, automating ETL processes, and enabling our traders to derive insightful analytics.We value individuals who have a passion for exploring data and are adept at communicating their insights to various stakeholders, collaborating closely with both traders and software engineers.While prior experience in financial data is an advantage, we welcome talented engineers from diverse backgrounds and are committed to providing the necessary training.

Data Engineer Employment Type: Full-Time, Mid-levelDepartment: Business Intelligence CGS Federal is on the lookout for a motivated and talented Data Engineer to join our dynamic Data Analytics and Business Intelligence team. This role is essential in delivering solutions that enable our federal clients to transform data into valuable insights. We seek a candidate who is not only a critical thinker but also eager to learn and grow, gaining exposure across diverse technologies while addressing complex client challenges. At CGS Federal, we unite passionate, skilled, and innovative individuals to tackle the government's most pressing issues using state-of-the-art technology. We invite candidates who are eager to contribute to government innovation, value teamwork, and possess the foresight to understand the needs of others. Our supportive environment fosters professional development through various educational opportunities. Key Responsibilities:- Develop and manage data pipelines to store and provision data for consumers.- Actively participate as a member of an Agile/Scrum team, adhering to best practices.- Write code to ensure efficient data extraction and processing.- Enhance continuous automation processes for data ingestion.- Uphold technical excellence by implementing lean-agile engineering principles such as API-first design, simple design, continuous integration, version control, and automated testing.- Collaborate with program management and engineers to address complex, evolving requirements.- Foster a culture of customer service excellence, innovation, collaboration, and teamwork.- Work effectively within a cross-functional team, including user experience researchers, designers, product managers, and other specialists.

Join Camber as a Senior Data Engineer and play a pivotal role in transforming our data architecture! You will be responsible for designing, developing, and maintaining our data pipelines and systems. Collaborate with cross-functional teams to ensure the reliability and scalability of data solutions while adopting best practices in data management.

The mission of The New York Times is to seek the truth and help people understand the world. Our commitment to independent journalism is at the forefront of our operations. With a world-renowned newsroom, we deploy journalists to report from nearly 160 countries. Our focus on enhancing the reader's experience across various media formats—from print to audio to a top-tier digital platform—drives our business strategy, ensuring our journalism's value is recognized and worth paying for.About the Role:The New York Times is in search of an inquisitive Business Data Analyst to explore advertising analytics and tackle optimization challenges within our digital and print advertising sectors.In this role, you will support our Advertising and Sales teams by analyzing products and their data sources, utilizing insights to innovate and enhance sales strategies. You will be responsible for managing print advertising, pricing strategies, and discount approvals. Collaboration with Ad Product, Sales, Revenue Operations, Sales Operations, and Finance is essential to deliver valuable insights on sales performance, trends, and print pricing strategies. You will report directly to the Manager of Business Analytics. Key Responsibilities:Analyze advertising and sales datasets to enhance overall performance, building and monitoring dashboards that provide strategic optimization alerts and recommendations.Oversee ad hoc reporting requests from the ad sales team and partners, including campaign management, sales planning, and sales operations.Deliver key business insights and actionable analysis to Sales, Advertising, and Product leadership based on performance trends.Manage pricing strategies for all print products, including approving discounts and optimizing prices.