Data Engineer - Knowledge Graph

Join Point72, a leading investment firm, as a Data Engineer focusing on Knowledge Graphs. In this dynamic role, you will leverage your data engineering skills to innovate and enhance our data systems, facilitating impactful financial decisions. Collaborate with cross-functional teams to design and implement scalable data solutions that will drive our investment strategies forward.

Join Point72 as a Knowledge Graph Engineer and be at the forefront of data innovation. In this role, you will leverage your expertise in knowledge graphs to enhance our data-driven decision-making processes. Collaborate with data scientists and engineers to design and implement scalable graph-based solutions that will shape the future of our analytics.

About HoneHone is revolutionizing healthcare with our innovative online medical clinic that focuses on enhancing longevity and empowering individuals to take charge of their health. By leveraging advanced scientific research, we help both men and women unlock their full potential. Our team is at the core of our mission, driving our success through our commitment to our brand values:Champion Patient NeedsExecute RelentlesslyCommunicate ConstructivelyCollaborate GenerouslyTurn Obstacles Into OpportunityGive With GratitudeAs a fully virtual organization since our inception, Hone continues to embrace a remote-first culture.Our Ideal CandidateWe are seeking a mission-driven Senior Data Engineer who is a proactive multi-tasker dedicated to making a meaningful impact. The ideal candidate thrives in a dynamic, fast-paced environment and is eager to tackle challenges with enthusiasm. They possess a strong collaborative spirit and excel in both independent and team-oriented tasks, fostering open communication. With a commitment to learning and development, they exhibit humble leadership while driving initiatives to help others live longer, healthier lives.The RoleAs a Senior Data Engineer at Hone, you will report directly to the Senior Director of Data, Analytics, and Machine Learning. Your primary responsibility will be to develop and maintain the pipelines and infrastructure that facilitate analytics, reporting, and machine learning projects. Additionally, you will play a key role in constructing a longevity ontology knowledge graph. This position is perfect for someone with over 5 years of experience looking to expand their influence and technical expertise within a collaborative team.Primary ResponsibilitiesYour key responsibilities will include (but are not limited to):Developing, maintaining, and optimizing reliable data pipelines using SQL, dbt, and Python.Building and managing an ontology graph database with CosmosDB and Gremlin.Leveraging agentic AI to streamline and automate pipeline development.Working alongside Analytics Engineers, Data Scientists, Analysts, and Software Engineers to transform and structure data to fulfill business objectives.

Standard Template Labs is a visionary startup operating in stealth mode, dedicated to revolutionizing IT Service and Configuration Management through the power of AI. Supported by esteemed investors, we are utilizing cutting-edge AI technologies, graph-based architecture, and superior design to redefine how enterprises interact with their technology ecosystems.About the RoleAs we expand our SaaS platform to accommodate increasingly intricate enterprise environments, the significance of our graph-based data architecture is growing. We seek a Senior Software Engineer with extensive expertise in developing and scaling graph-centric, multi-tenant data systems for large-scale SaaS applications.In this pivotal role, you will be responsible for advancing our graph data tier—designing high-performance, secure, and scalable graph models and storage strategies that facilitate complex relationships, deep querying capabilities, and insightful analytics across multiple tenants.This hands-on, impactful position will allow you to influence the technical framework of how we represent, store, navigate, and analyze interconnected enterprise data at scale.Key ResponsibilitiesGraph Data ArchitectureArchitect, refine, and optimize our multi-tenant graph data model, encompassing node/edge schema design, relationship modeling, partitioning, and traversal strategies.Establish and implement tenancy models for graph storage—balancing shared-graph versus tenant-isolated subgraphs, hybrid partitioning, or database-per-tenant graph deployments.Create robust data architecture for graph sharding, indexing, and high-throughput traversal, ensuring rapid response times for queries as the complexity and size of the topology expands.Backend & Data Layer EngineeringDevelop backend services that extensively interact with data stores, including APIs, data access tiers, ingestion workflows, and graph mutation/query pipelines.Enhance query performance through indexing enhancements, caching strategies for subgraphs, optimized traversal patterns, and distributed graph execution.Multi-Tenancy & Platform ScalabilityLead the strategic decisions surrounding multi-tenant graph architecture including tenant boundaries, access control models, resource isolation, and performance equity.Implement tooling for tenant onboarding, migrations, provisioning, graph expansion, and lifecycle management.Collaborate with cross-functional teams to ensure the successful integration of graph data architecture into our SaaS platform.

About AxiomAt Axiom, we're pioneering the use of zero-knowledge proofs to create innovative, verifiable, and private software solutions, particularly in the realms of cryptocurrency and financial technology. Our dynamic team, though small, is exceptionally skilled and supported by the foremost investors in the crypto space. We seek extraordinary individuals who thrive on tackling complex and impactful challenges in a fast-paced setting. While we prefer in-person collaboration at our New York City office, we welcome remote candidates as well.We're excited to announce our recent release of OpenVM, a high-performance and modular zkVM framework designed for customization and extensibility. OpenVM empowers developers to validate the correct execution of arbitrary programs efficiently and flexibly. We are actively developing ZK-enabled products utilizing OpenVM and supporting teams that are building on this framework.

The Office of Technology and Innovation (OTI) in New York City harnesses the power of technology to create opportunities, enhance public safety, and streamline government operations. From providing affordable broadband access to safeguarding against cybersecurity threats and developing digital government services, OTI is leading the charge in transforming how the City serves New Yorkers in the 21st century. Explore our impact through our welcome video, connect with us on social media @NYCOfficeofTech, and visit our website at oti.nyc.gov to learn more.At OTI, we provide exceptional benefits and the chance to engage in projects that significantly affect millions of lives. You will collaborate with state-of-the-art technology alongside a team of dedicated professionals who are committed to effecting change through innovation.The ideal candidate will assume the role of Training and Knowledge Management Manager, reporting to the Customer Support Unit within the Customer Service Division. Key responsibilities will include:- Acting as the subject matter expert in the design and delivery of training and knowledge resources for Customer Support teams and OTI/Agency support teams, both in-person and virtually.- Promoting adherence to IT Service Management (ITSM) processes and recommending training enhancements based on evaluations.- Designing, maintaining, and updating the training curriculum and Knowledge Management processes through regular assessments to ensure alignment with best practices and organizational goals.- Implementing knowledge-sharing initiatives to foster collaboration and a culture of continuous learning through webinars, workshops, and documentation repositories.- Creating and publishing Knowledge articles in the ServiceNow Knowledge Management System, ensuring accuracy and relevance by collaborating with Subject Matter Experts.- Communicating updates on Knowledge items to relevant audiences and organizing training sessions as needed.- Ensuring the quality and effectiveness of training and Knowledge content through regular updates and improvements.- Collaborating with various OTI divisions, agencies, and the Citywide Service Desk to promote enthusiasm for the support provided.- Maintaining comprehensive records of training and Knowledge Management activities.

As the Product Manager specializing in Content Strategy and Knowledge Management, you will be instrumental in defining how we create, organize, and share content within our organization. This role demands a deep understanding of user experience and knowledge management practices to ensure our content effectively serves both internal teams and external users. The ideal candidate will collaborate with cross-functional teams to enhance our content platforms and streamline knowledge sharing across the organization.Key Responsibilities:Content Strategy Development: Create and implement a robust content strategy that aligns with business objectives and fulfills user needs. Conduct comprehensive content audits and user research to assess existing content performance and pinpoint areas for improvement. Establish and promote best practices for content creation, curation, and management across multiple platforms. Knowledge Management Enhancement: Design a systematic approach to managing organizational knowledge and resources. Implement effective systems and procedures for knowledge sharing, ensuring accessibility to information and resources. Collaborate with IT and design teams to refine knowledge management platforms, enhancing user experience. Cross-Functional Collaboration: Engage with stakeholders across various departments to synchronize content initiatives with organizational goals. Conduct workshops and training sessions to advocate for effective content practices and knowledge sharing. Performance Monitoring: Define metrics to assess the success of content initiatives and knowledge management practices. Analyze data and user feedback to continually improve content quality and engagement.

Join Hinge: The Dating App Designed for Lasting ConnectionsIn an age where meaningful relationships are increasingly elusive, Hinge is dedicated to fostering intimate connections that combat loneliness. Our team is passionate about analyzing user behavior to enhance the dating experience, with our ultimate success measured by the number of successful dates we facilitate. With a global user base in the millions, Hinge has become the premier app for those seeking meaningful relationships.Role Overview: As a Senior Data Engineer at Hinge, you will play a vital role in developing key data processes and contributing to a cutting-edge data pipeline that supports our strategic decision-making. Your contributions will not only solve complex challenges but also empower our analytical teams, directly impacting the love lives of countless individuals. You will enhance core functionalities and implement essential data pipelines that serve both the Data Engineering team and the broader organization, all while tackling real-world problems within a big data architecture.

As the Director of Data Engineering at VERSANT, you will be instrumental in architecting, developing, and deploying advanced data systems and pipelines that empower essential business decisions, analytics, and product innovation. This role is central to establishing a unified data ecosystem that harnesses the power of first-party, third-party, and zero-party data, facilitating innovation and growth. This ecosystem is pivotal for making informed customer and business decisions.We seek a technically adept leader who excels in a dynamic, media-oriented setting and is enthusiastic about leveraging data to drive innovation.Your responsibilities will include, but are not limited to:Oversee and guide high-performing data engineering teams, establishing clear goals, promoting a collaborative atmosphere, and fostering professional growth.Design, implement, and maintain scalable data architectures and pipelines across various internal, third-party, and cloud sources.Ensure the integrity, accuracy, and consistency of data across diverse platforms.Collaborate with data scientists and business units to enhance data models that support business intelligence tools, enhancing data accessibility and encouraging data-driven decision-making organization-wide.Implement data engineering best practices, including performance optimization, monitoring, and thorough documentation.Assess and integrate emerging technologies to enhance data engineering functions.Develop your team through coaching, mentorship, and technical development opportunities.Contribute to the strategic planning and execution of data initiatives aligned with corporate objectives.Assist the Sr. Director of Data Engineering in executing the overarching data strategy and roadmap.

Role Overview NBCUniversal is looking for a Principal Data Engineer in New York to help design and build data solutions that support business goals. This position focuses on developing and optimizing data pipelines, ensuring data quality, and collaborating with teams across the company to deliver practical solutions. Key Responsibilities Design, build, and maintain data pipelines that support business operations and analytics. Work with cross-functional teams to understand data needs and deliver scalable solutions. Apply expertise in data engineering, cloud platforms, and data architecture to improve system performance and reliability. Champion data integrity and best practices throughout the data lifecycle. What We’re Looking For Deep experience in data engineering and data architecture. Strong knowledge of cloud technologies. Ability to collaborate effectively with technical and non-technical partners. Motivation to solve complex problems and deliver results that move the business forward. This role offers the chance to shape how NBCUniversal uses data and to make a visible impact on the company’s technology landscape.

At January, we are revolutionizing the credit landscape. Our innovative, data-driven platform is designed to restore trust, achieve tangible results, and empower millions to progress toward a brighter financial future, while also humanizing the consumer finance experience. By harnessing data intelligence, we strive to build trust and deliver improved outcomes for both consumers and creditors.Our mission is straightforward: to broaden access to credit while equipping consumers with the tools they need to attain long-lasting stability and control over their financial lives. We initiated our journey by creating a robust foundation for creditors to engage and support borrowers throughout the entire debt lifecycle. By merging exceptional performance with unique consumer satisfaction and strict compliance, we have perfected outsourced collections. Our journey is just beginning, and together we are forging a financial system where trust and opportunity catalyze enduring change in people's lives.About the RoleAs the pioneering Senior Data Engineer at January, you will redefine our approach to data utilization in expanding access to credit—not merely by fixing existing issues but by unlocking new possibilities. You will take complete ownership of our modern data stack, transforming it from a system supported sporadically by analysts and engineers into a premier platform that anticipates and facilitates our most ambitious data initiatives. You will architect the data infrastructure that empowers millions to achieve financial stability, ensuring that insights flow seamlessly from production to decision-makers. By establishing data engineering as a core discipline at January, you will allow our analysts to focus on insights while you construct the scalable foundation that propels our next growth phase.What You'll DoOwn and enhance our comprehensive data platform — transforming our Snowflake warehouse from analyst-managed to engineer-optimized while standardizing data models for customer reporting, operational dashboards, and machine learning features.Create robust, self-healing data pipelines — designing ETL processes that scale automatically with data volume, implementing monitoring systems that preemptively identify issues, and optimizing costs without compromising performance.Facilitate accessible data utilization — developing intuitive models that empower PMs, analysts, and operations teams to independently find answers while adhering to security and compliance standards.Integrate engineering with analytics — establishing feedback mechanisms between production systems and analytical demands, ensuring schema changes do not disrupt downstream dependencies, and influencing how new features generate data.Lead data initiatives — championing projects that enhance our data capabilities, contributing to strategic data-driven decisions, and mentoring junior engineers.

At Angi®, our mission for the past 30 years has been simple: to ensure that jobs are done right. We connect homeowners with trustworthy professionals who possess the necessary skills, while simultaneously linking these pros with homeowners seeking the jobs they desire.Angi at a glance:Homeowners have relied on Angi for over 300 million projects.We cover more than 1,000 home service tasks.Our team consists of 2,800 dedicated employees worldwide.Why join Angi:Angi® is on a mission to redefine the home services industry, fostering an environment where homeowners, professionals, and employees all benefit from a greater number of jobs completed successfully.For homeowners, our platform offers a dependable way to locate skilled professionals. For professionals, we act as a trustworthy business partner, helping them discover the work they want when they want it. For our employees, we provide an exceptional workplace that they can proudly call home. We look forward to welcoming you!About the team:We are currently searching for a Senior Data Engineer to join our Data Infrastructure team. This individual will play a pivotal role in constructing and managing the foundational platforms that facilitate data processing, storage, and analytics throughout our organization. The focus of this role will be on advancing our lakehouse architecture, data replication systems, and orchestration frameworks, all while ensuring scalable, reliable, and efficient data workflows.Please note, although this role is remote, we are a global company seeking candidates located in the Eastern Time Zone to align with our team's working hours.

We are seeking a talented Principal Data Engineer to join our dynamic team at dstaff in New York. As a Principal Data Engineer, you will play a pivotal role in designing and implementing robust data architecture solutions that drive business intelligence and analytics across the organization. You will collaborate with cross-functional teams to ensure the integrity and accessibility of data while leveraging the latest technologies and methodologies.

Bombas seeks a Junior Data Engineer to join the team in New York, New York. This entry-level role plays a part in managing and analyzing company data, supporting Bombas’s broader mission through careful, precise work. Key Responsibilities Collaborate with senior engineers to design and build data pipelines Assist in optimizing data flows for greater efficiency and reliability Support the maintenance of data integrity across multiple systems Learning and Development This position offers direct experience in data engineering and the chance to contribute to projects with social impact. The team encourages learning new tools and approaches while working together on meaningful data challenges.

About UsAt Resonance, we are revolutionizing the fashion sector by fostering a more sustainable ecosystem for designers, brands, manufacturers, consumers, and the environment. Our innovative AI-driven platform, ONE, facilitates efficient and sustainable product design, sales, and manufacturing. By minimizing overproduction and unnecessary inventory, Resonance ONE is committed to reducing the environmental impact of garment creation.Headquartered in New York City and Santiago, Dominican Republic, Resonance collaborates with prominent brands, including THE KIT and Rebecca Minkoff, to achieve significant reductions in resource consumption: 97% less dye, 70% less water, and 50% less material compared to conventional fashion brands.About the RoleWe are on the lookout for a skilled Data and Analytics Engineer to construct, maintain, and expand our data infrastructure. In this pivotal role, you will enhance our analytical capabilities, allowing Resonance to utilize data-driven insights across our intricate technology ecosystem.Your responsibilities will include developing and maintaining efficient ELT pipelines to transform data from various sources—such as telemetry data, Shopify, SendGrid, CreateOne, and other internal platforms—into structured, accessible datasets within Snowflake. Furthermore, you will create advanced LookML models to enable interactive analytics, dashboards, and explorations utilized daily by our business teams.Responsibilities Design, build, and sustain scalable ELT pipelines that reliably convert raw data from sources like Shopify, SendGrid, telemetry services, and proprietary applications (CreateOne) into our Snowflake data lake and data warehouses. Develop efficient and maintainable data models within Snowflake that underpin analytics, reporting, and data-driven decision-making. Create and refine LookML models to facilitate intuitive exploration, dashboards, and actionable analytics for non-technical business users. Work closely with product teams, engineers, and business stakeholders to identify data requirements, gather insights, and deliver impactful data solutions. Continuously enhance data quality, governance, and accessibility while implementing best practices for data management and compliance. Proactively monitor and optimize ELT performance, reliability, and cost-effectiveness. Stay abreast of the latest data engineering technologies, methodologies, and analytics tools to ensure Resonance maintains industry-leading capabilities. RequirementsMinimum Qualifications 4+ years of relevant experience in data engineering, analytics engineering, or a related field. Strong expertise in building robust ELT/ETL data pipelines using contemporary tools and methodologies. Hands-on experience with Snowflake or comparable cloud data platforms....

Role overview The City of New York seeks a Data Engineer to support data-driven work across city departments. This position focuses on building and maintaining the systems that move and organize data for municipal analytics and reporting. What you will do Design and build data pipelines that transfer and transform information between different systems Maintain and improve data architectures used for analytics throughout the city Work to ensure data remains accurate and available for reporting and analysis Location This role is based in New York City.

Join CGS as a Senior Data Engineer Employment Type: Full-Time, Mid-levelDepartment: Business Intelligence CGS Federal is actively looking for a dedicated and innovative Senior Data Engineer to enhance our expanding Data Analytics and Business Intelligence platform. Our focus is on providing impactful solutions that enable our federal clients to transform data into actionable insights. The ideal candidate will be a proactive problem solver and lifelong learner, eager to explore diverse technologies while tackling some of the most challenging issues faced by our clients.At CGS, we unite driven, highly skilled, and inventive individuals to address the government's most pressing challenges through state-of-the-art technology. We seek candidates who are enthusiastic about contributing to governmental innovation, value teamwork, and can anticipate the needs of others. Our work environment fosters support and encourages professional development through various learning opportunities. Key Responsibilities:- Develop comprehensive data pipelines to efficiently manage and provision data to stakeholders.- Collaborate actively within an Agile/Scrum team, adhering to best practices.- Write robust code to ensure optimal performance and reliability in data processing and extraction.- Drive automation processes for seamless data ingestion.- Uphold technical excellence by following lean-agile engineering principles, including API-first design and automated testing.- Engage with program management and technical teams to document evolving requirements.- Foster a culture of exceptional customer service, innovation, collaboration, and teamwork.- Work in a cross-functional team including UX researchers, designers, product managers, engineers, and specialists.Qualifications:- Must be a U.S. Citizen.- Ability to obtain a Public Trust Clearance is required.- At least 7 years of IT experience, particularly in the design and management of substantial data sets and models.- Proven experience in developing data pipelines from a variety of structured and unstructured data sources.- Proficient in ETL processes, including testing and validation steps.- Strong skills in data manipulation using Python, R, SQL, or SAS.- In-depth knowledge of big data analysis and storage solutions.

Join the City of New York as a Senior Data Engineer, where your expertise in data engineering will drive impactful decisions and enhance city services. You will collaborate with cross-functional teams to design, build, and maintain robust data pipelines, ensuring data integrity and accessibility for analytics.

Join our dynamic team at StemXpert as a Big Data Engineer and play a pivotal role in transforming data into actionable insights. You will be responsible for designing and implementing large-scale data processing systems, ensuring optimal performance and reliability. Your expertise will help us unlock the full potential of our data assets.

Clear is looking for a Data Engineer II in New York, NY. This position centers on building and maintaining data architecture to support the company’s analytics and reporting needs. Role overview As a Data Engineer II, you will work with teams from different parts of the organization to develop scalable data solutions. The focus is on designing systems that keep data accurate, consistent, and easy to access for those who need it. What you will do Design and implement data pipelines and architecture Ensure data integrity throughout the data lifecycle Collaborate with colleagues to make data accessible across the business Requirements Experience in data engineering, data architecture, or analytics Ability to work with cross-functional teams Strong problem-solving skills related to data systems