Web Engineer / IIS Administrator

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

Role Overview Garner Health is hiring a Data Engineer II in New York City. This role focuses on building and maintaining the data pipelines that support the company’s analytics and data infrastructure. The work directly supports data-driven decision making and helps advance healthcare solutions. What You Will Do Design, develop, and maintain data pipelines Support and improve the organization’s data infrastructure Enable analytics that inform business and healthcare decisions

About UsDoubleVerify stands at the forefront of the marketing measurement landscape, offering unparalleled software solutions that enable brands and media platforms to authenticate the quality and effectiveness of digital media. Since our establishment in 2008, we have empowered numerous Fortune 500 companies, ensuring they achieve maximum returns on their media investments through our cutting-edge analytics and data solutions. Join us in our mission to enhance media transparency and accountability in the digital ecosystem. To learn more, visit www.doubleverify.com.Position Overview:As a Data Reliability Engineer II, you will play a crucial role within the Data Operations Team. Your responsibilities will include analyzing and externalizing DoubleVerify’s data, alongside monitoring, troubleshooting, and enhancing the company’s data pipelines and technologies.

Cresilon® is a pioneering biotechnology firm located in Brooklyn, New York. We specialize in the development, manufacturing, and marketing of innovative hemostatic medical devices, leveraging our proprietary hydrogel technology. Our groundbreaking, plant-based solutions have transformed the way traumatic and surgical bleeds are managed, achieving swift hemostasis without the necessity for prolonged manual pressure. Our diverse product lines cater to veterinary, human trauma, and surgical applications, embodying our mission to save lives. Discover more about us at www.cresilon.com.Job Overview:We are seeking an experienced Senior Process Engineer or Process Engineer II to join our manufacturing team. This position is critical in spearheading the development and optimization of manufacturing processes for our medical device products. You will collaborate with cross-functional teams—Quality, R&D, Regulatory, and Production—to ensure that our manufacturing processes adhere to the highest standards of quality, compliance, and performance. Your role will involve hands-on engagement with the production team, training operators on new processes, troubleshooting equipment issues, and executing qualifications and validations.This is a full-time, on-site role based in Brooklyn, New York, in a dynamic and collaborative environment that demands creativity and focused execution to enhance production efficiency and establish robust manufacturing processes.Key Responsibilities:Design, develop, and optimize manufacturing processes for both new and existing medical devices.Lead process development for new product introductions (NPI), guiding projects from concept through validation and launch.Refine manufacturing processes to minimize variability, enhance yield, improve cycle times, and lower costs.Assess and implement automation technologies to boost process consistency and throughput.Collaborate with external vendors and suppliers to specify equipment and troubleshoot product issues.Analyze production data to uncover trends, root causes, and opportunities for increased efficiency.Maintain and update validation documentation as part of lifecycle management.Ensure compliance with regulatory requirements and internal quality standards.Lead investigations into root causes (CAPA, NCRs, SCARs) and implement corrective actions.Create process documentation, including standard operating procedures (SOPs), work instructions, pFMEAs, and equipment qualifications.Partner with R&D during the design transfer phase to ensure manufacturability.

Join Chainalysis, Inc. as a Data Engineer in our New York, NY office and take part in shaping the future of data analytics and security.JOB RESPONSIBILITIESAs a Data Engineer, you will enhance and scale our data infrastructure to efficiently manage large data sets. You will be responsible for building ETL data pipelines and developing a comprehensive analytics database that provides insights for both internal and external stakeholders. Your role will involve: collaborating with product managers to gather requirements, scaling cloud-based systems that handle billions of requests daily, and implementing robust data integration with various vendors. You will also be tasked with developing frameworks for future integrations and ensuring the quality of ingested data through continuous assessment and testing.QUALIFICATIONS:A Bachelor’s degree in Computer Science, Mathematics, Engineering, Information Management, Information Technology, or a related field, complemented by five (5) years of relevant experience. Alternatively, a Master’s degree in a related discipline with three (3) years of experience is acceptable. We welcome any suitable combination of education, training, or experience.Special Requirements: Candidates must have three (3) years of experience in the following areas:Creating scalable ETL pipelines and data processing systems.Implementing data pipelines using technologies such as EMR, Airflow, Athena, Redshift, PostgreSQL, Snowflake, Kinesis, Lambda, or DataBricks.Developing software using Python or SQL.Utilizing observability and monitoring tools like Humio, Datadog, Amazon CloudWatch, or AWS CloudTrail.Effectively communicating with technical and non-technical stakeholders.WORKSITE: 114 5th Avenue, Floor 19, New York NY 10011

The AI platform at Datadog is pivotal in managing our comprehensive AI infrastructure. Our core mission centers around providing advanced tools and platforms that empower engineers and data scientists to perform large-scale training and inference seamlessly. We are the driving force behind innovative products such as Bits AI, LLMObs, and various AI research initiatives. You will be joining a rapidly growing and dynamic team that plays a crucial role in shaping the future of Datadog. As a leader, you will have the opportunity to help build and expand the team, establish our technical vision, and contribute to the development of our strategic roadmap. Your role will include managing other managers and influencing the organizational structure by participating in the recruitment of future leaders and individual contributors. You will collaborate closely with partner teams within the AI platform organization to ensure a cohesive AI development cycle. Additionally, you will work hand-in-hand with the Applied AI organization, product engineering teams, and Datadog's infrastructure and tooling teams to develop systems from the ground up. At Datadog, we prioritize our office culture—the relationships it fosters, the creativity it inspires, and the collaboration that arises from working together. We embrace a hybrid work model to allow our employees to achieve a work-life balance that suits their individual needs.

We are seeking a detail-oriented and analytical Data Analyst II to join our dynamic team. In this role, you will work closely with various departments to gather, analyze, and interpret data to help drive strategic decision-making. The ideal candidate will possess strong analytical skills, a passion for data, and the ability to communicate findings effectively.

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.

About the Role Sigma Computing is seeking a Senior Security Engineer II focused on Cloud & Data Security to help safeguard our large-scale, cloud-native SaaS platform. This position centers on engineering: building security solutions, not just operating existing tools. The role calls for a subject matter expert in cloud security architecture. Collaboration with Engineering, Security, and Product teams is key, as is designing scalable controls that support business growth. Responsibilities include creating secure architectures, integrating controls into infrastructure-as-code, and setting up automated guardrails so teams can move quickly without waiting for manual security sign-offs. This is a hands-on position for someone who thrives in complex cloud environments, values automation, and knows how to scale security for a growing SaaS company. What You Will Do Architectural Leadership: Work closely with infrastructure and engineering teams to embed security into development workflows. Lead technical discussions that shape security strategy and initiatives. Multi-Cloud Engineering: Design, implement, and refine Sigma’s cloud security across AWS, GCP, and Azure, using deep architectural expertise. Threat Modeling & Incident Response: Conduct threat modeling for cloud environments and handle incident response, including investigation and remediation of malicious activity. Identity & Access Management: Develop strategies for IAM and privileged access (RBAC/ABAC, federation, least privilege, cross-account access). Remove standing privileges and long-lived credentials, and promote zero-trust and privileged access controls across IaaS and SaaS. Cloud Data Security Controls: Implement data classification, encryption/KMS, masking/tokenization, access governance, retention and deletion policies, and reduce exfiltration risks across APIs and data pipelines. Automated Remediation Workflows: Build automated responses for recurring cloud misconfigurations, drift, and policy violations to improve operational efficiency and response times. Security Stack Management: Deploy and manage cloud-native services, including CSPM, CNAPP, DSPM, SIEM, DLP, WAF, Kubernetes, and container security tools. Network Defense: Evaluate and implement zero-trust network security measures. Location: New York City, NY

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.