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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.
dstaff is a leading technology staffing and consulting firm, dedicated to connecting top talent with innovative companies. Our mission is to empower businesses through technology by providing exceptional engineering and data solutions. Join us and be part of a team that values creativity, collaboration, and continuous learning.
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EnergyHub
Join Our Data Engineering TeamAt EnergyHub, we are at the forefront of managing data for the world's most innovative Virtual Power Plant (VPP). Our Data Engineering team is pivotal in integrating millions of internet-connected devices that utilize, store, and distribute power, ensuring our clients effectively manage grid load. We are passionate about data qu…
Octaura
Transforming Financial MarketsAt Octaura, we recognize the inefficiencies and complexities of current workflows in the syndicated loan and CLO markets. Our mission is to revolutionize these markets, making them more efficient, transparent, and user-friendly.We at Octaura are pioneering a new approach to trading, combining cutting-edge technology, data analytics, and trading capabilities on a unified digital platform. This innovation is set to fundamentally change the market landscape and streamline processes for our clients.Inclusive Culture at OctauraWe believe in fostering a workplace where all team members can express their ideas and talents freely. Diversity is at the core of our values, and we strive to build a team that reflects the rich variety of perspectives in the world. Together, we engage, solve problems, and evolve, creating a collaborative, transparent, and innovative culture that is also fun!Internship Duration: June – August 2026Office Location: New York CityWork Schedule: In-office, Monday to Friday
Join Allium: Simplifying Blockchain DataAt Allium, we are dedicated to transforming blockchain data into accessible, accurate, and efficient resources. Founded in late 2021, our mission is to tackle the chaos surrounding blockchain data, making it easier for users to engage with.The Challenge of Blockchain DataBlockchain data presents unique challenges—it is often complex, unstructured, and difficult to manipulate. Simple queries, such as identifying the largest Ethereum token holders over time, can require an entire engineering team to navigate the intricacies of blockchain technology.Understanding Blockchain LimitationsHistorically, blockchain systems have been optimized for writing data rather than reading it. This imbalance complicates the retrieval of data, leading to inefficiencies and hurdles when accessing the information we need.The Need for ExpertiseExpertise in blockchain data is crucial for parsing and interpreting this information. As Tim Roughgarden eloquently stated, “Blockchains are (virtual) computers, not databases.” The diverse use cases for smart contracts result in a fragmented landscape of data schemas, underscoring the necessity for specialists who can standardize and clarify this information.Our SolutionAllium addresses these challenges by ingesting, sanitizing, and standardizing blockchain data from over 100 blockchains, currently archiving petabytes of information. Our goal is to index and simplify this data for users, just as Google and Bloomberg did for their respective domains.Be Part of the ChangeWe invite you to join us in revolutionizing the blockchain space. If you’re eager to learn and contribute to a groundbreaking project, Allium is the place for you!
Allium: Simplifying Blockchain Data for EveryoneThe Challenge of Blockchain DataAt Allium, we recognize that while blockchain data is inherently public and free, it is often complex and challenging to access. Since our inception in late 2021, we have been dedicated to transforming the way this data is understood and utilized. For instance, answering a straightforward question like “Who are the largest Ethereum token holders over time?” typically requires a specialized engineering team to set up their own RPC nodes, process the entire blockchain history, clean and transform the data, and finally execute intricate SQL queries.Data Accessibility ChallengesThe difficulty of accessing blockchain data stems from the fact that blockchains are primarily optimized for Writes (data entry) rather than Reads (data extraction). Historically, efforts have concentrated on enhancing transaction throughput and creating scalable consensus algorithms, which has resulted in a lack of efficient and reliable data retrieval methods.Expertise in Data Parsing and InterpretationAs Tim Roughgarden, a Columbia University Professor, aptly stated, “Blockchains are (virtual) computers, not databases.” This means that they function as Turing machines, supporting a multitude of computations. The vast array of potential use cases leads to a fragmentation of data schemas, requiring extensive domain expertise to convert intricate technical outputs into accessible information on various concepts such as tokens, NFTs, stablecoins, and DEXs.Allium's SolutionAllium addresses these complexities by efficiently ingesting, sanitizing, and standardizing blockchain data. As of now, we have archived data across 100+ blockchains, amounting to petabytes of information and growing rapidly.Join Us in Revolutionizing Data AccessMuch like Google and Bloomberg revolutionized public financial and web data, Allium is on a mission to do the same for blockchain data. This is a unique opportunity in history where organizing a vast public dataset is crucial for all stakeholders in the industry.
Term: June – August 2026 (3 months, full-time)Successful interns may be considered for permanent positions based on their performance.About UsCornspring is a pioneering FinTech start-up dedicated to providing Family Offices and Asset Owners with real-time, AI-powered data intelligence and portfolio insights. We are addressing one of the most intricate and valuable challenges in finance. Our clients manage billions in assets on a global scale, yet they are often hindered by outdated, fragmented systems.At Cornspring, we are revolutionizing Family Office services by integrating cutting-edge generative AI and Large Language Models into investment, accounting, and operational data. Our platform offers faster insights, enhanced transparency, and innovative interactions with financial information.The RoleWe are in search of a passionate and motivated Data Engineer Intern to design and maintain ingestion pipelines and implement validation and reconciliation logic. If you thrive on system thinking, performance, reliability, and solving complex issues with a strong engineering mindset, we would love to hear from you!Key ResponsibilitiesCreate efficient data pipelines for financial data flows while ensuring that data and analytics support future growth.Oversee data movement, transformation logic, and pipeline performance to uphold data integrity and quality for machine learning processes.Design and execute data solutions for new initiatives while continuously monitoring existing solutions to ensure data accuracy, service quality, and performance.
Hybrid: 3 days per week (Tues-Thurs) at NYC Global HQAbout UsAt DoubleVerify, we are the premier independent provider of marketing measurement software, data, and analytics, dedicated to ensuring the quality and effectiveness of digital media for some of the world's largest brands and media platforms. Since our inception in 2008, we've empowered hundreds of Fortune 500 companies to maximize their media investments through our best-in-class solutions, fostering a more transparent and accountable digital advertising ecosystem. Explore more at www.doubleverify.com.Your RoleAs a Software Engineer Intern, you will collaborate with our dynamic Engineering and Product teams on essential systems that handle billions of real-time transactions daily. You will tackle complex challenges involving Big Data processing and analytics at scale.Key ResponsibilitiesResearch, conceive, and develop innovative data engineering solutions.Create software and data-intensive applications that enhance and extend DoubleVerify's suite of Social Viewability and Brand Suitability measurement products.Utilize cutting-edge big data technologies to construct large-scale batch and streaming pipelines on Google Cloud Platform.Participate in multi-functional agile teams, taking end-to-end responsibility for product development and delivery, while gaining mentorship.Enhance data quality through rigorous testing, tooling, and automation efforts.Assist in the maintenance and support of critical services.
Hybrid: 3 days per week (Tuesday-Thursday) at NYC Global HQAbout UsAt DoubleVerify, we pride ourselves on being the foremost independent provider of marketing measurement software, data, and analytics. Our mission is to ensure the quality and effectiveness of digital media for some of the largest brands and media platforms globally. Since our inception in 2008, we have empowered numerous Fortune 500 companies to optimize their media investments through innovative solutions that enhance transparency and accountability across the digital landscape. Discover more about us at www.doubleverify.com.As a Software Engineer Intern, you will collaborate with DoubleVerify’s dynamic Engineering and Product teams to develop mission-critical systems capable of processing billions of real-time transactions daily. You will engage in solving complex challenges associated with Big Data processing and analytics at scale.
sdms is looking for a Tooling Engineer Intern to join the team at its Tonawanda, New York facility. This internship offers practical experience in manufacturing, with a focus on tooling solutions that support production efficiency and safety. The intern will work alongside plant operations, contribute to cost-saving projects, and help address technical challenges on the shop floor. What you will do Serve as the main contact for resolving tooling-related manufacturing issues. Collaborate with plant operations to address safety, quality, throughput, and cost concerns tied to tooling. Develop and implement cost-saving initiatives to optimize tooling and manufacturing expenses. Track weekly tooling expenses and compare them to budgeted piece costs. Conduct tooling trials, document outcomes, and ensure compliance with customer testing requirements. Update and maintain tooling drawings and related documentation. Design new systems for tooling reconditioning and reuse when feasible and cost-effective. Join regular team and operations meetings to support problem-solving. Troubleshoot machining and tooling issues that affect costs, scrap rates, and production efficiency. Support cross-functional teams in achieving operational targets. Recommend improvements to machining processes and cutting parameters. Introduce new technology and improved tooling designs. Develop strategies to achieve year-over-year reductions in cost per piece. Coordinate with the preset team to ensure effective tooling setup. Use PFEP and Top Spend Data to drive savings projects. Complete documentation for cost savings and tooling tests. Document and report non-conformances, corrective actions, and ongoing improvement efforts. Maintain safety and housekeeping standards throughout the site. Make decisions within established guidelines and procedures. Report near misses and incidents to management and assist with investigations. Perform other duties as assigned. Requirements Bachelor's degree in Mechanical Engineering or a related field. Previous experience in a manufacturing and design environment. Strong analytical and mathematical skills.
Hinge
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.
VERSANT
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.
Vendelux empowers businesses to uncover exceptional events. Event marketers play a crucial role in driving success, from lead generation to brand building. At Vendelux, we strive to enhance the effectiveness of every event our clients sponsor or attend.As a Series A SaaS enterprise, we serve as the definitive system of record for event marketing. Our innovative software provides unique insights that enable high-growth companies to identify the events, conferences, and trade shows that promise the highest return on investment. Our AI-powered platform is widely regarded as an event marketer's ultimate resource.Established in 2021, Vendelux recently secured $14 million in Series A funding led by FirstMark, with a portfolio that includes notable companies like Shopify, Pinterest, Discord, Airbnb, Draft Kings, Carta, and Justworks. Our leadership team comprises former members from prestigious organizations such as Bain, ZoomInfo, Shutterstock, Compass, ModernLoop, Forter, Zulily, and NewtonX.We are offering a paid internship for an enthusiastic entry-level candidate eager to join the tech and startup landscape. This role is based in our Midtown NYC office and is ideal for local college or MBA students willing to commit approximately 20+ hours per week during the winter/spring semester. The internship may lead to a full-time position for the right candidate.As an intern, you will assist with various administrative, research, and data operations tasks within the marketing and data teams. For those with the appropriate background, opportunities may include data analytics and insights utilizing SQL.Key ResponsibilitiesConduct event research to identify and validate key data inputs for AI models.Review and rectify data errors in the database; collaborate with the team to identify patterns and potential signals.Utilize SQL and dashboarding tools to analyze data and derive insights regarding events, attendees, and organizations.Leverage AI-enabled tools to create and manage sensitive datasets.QualificationsLocated in New York City and able to work from our Midtown office.Available for ~20+ hours per week.Detail-oriented with a strong sense of ownership.A proactive attitude, ready to take on diverse projects as needed.
NBCUniversal Media, LLC
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.
R&T Deposit Solutions
Position Overview:We are excited to invite applications for the Quality Engineering Intern position, aimed at enhancing our Application Development processes, data pipelines, and automation efforts in Business Intelligence and Client File Processing Engine.This internship provides an invaluable opportunity to gain hands-on experience in designing and testing data workflows. The selected intern will collaborate closely with seasoned engineers to gain insights into software engineering, data processing, and AWS cloud technologies.
City of New York
The City of New York is looking for a Design Engineer Intern to join the team in Queens. This internship offers practical experience in the engineering design process, giving interns a chance to apply classroom knowledge to real projects. Role overview Interns collaborate with experienced engineers and participate in projects that impact the Queens community. The position emphasizes learning through direct involvement in ongoing work. What you will do Support engineering design tasks under the guidance of professional staff Contribute to projects that benefit local residents Gain exposure to municipal engineering practices Location This internship is based in Queens, New York.
January
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.
dstaff
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
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.
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.
Resonance
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....
City of New York
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.
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