Data Analytics Engineer at Rebar | New York City

About RebarRebar is revolutionizing the commercial HVAC, Electrical, and Plumbing supply industry by developing a cutting-edge operating system. Our AI-driven quoting engine is expanding across leading suppliers in North America, making measurement and evaluation crucial to our infrastructure.As a Data Analytics Engineer, your mission will be to construct systems that provide insights into our AI's performance in real-world scenarios—analyzing successes and failures, and assessing their influence on business outcomes. You will establish essential product metrics, create monitoring frameworks, and deliver both internal and customer-facing data products that convert raw model outputs into reliable intelligence.This role sits at the crossroads of AI evaluation, product analytics, and data-driven product development. You will not only develop innovative data products that enhance customer value but also track the real-world performance dynamics of our AI systems, informing internal teams and stakeholders for better decision-making. If you are passionate about building analytic infrastructures and measurement systems as well as addressing significant business questions, this position is tailored for you.Required QualificationsBachelor’s or Master’s degree in Computer Science, Data Science, or a related field.Proficient in Python, skilled in SQL, and experienced with Data Warehousing.Demonstrated experience handling large, real-world datasets and navigating ambiguous problem definitions.Proficient in writing modular, testable analytics code and familiar with version control environments.Ability to design meaningful metrics and evaluation frameworks for complex systems from the ground up.Experience in building data visualizations and dashboards.1–3 years of experience in analytics engineering, data science, or product analytics roles working with production data systems.Excellent communication skills for conveying quantitative insights to both technical and non-technical audiences.ResponsibilitiesDesign and develop data-driven product features utilizing Rebar’s historical datasets.Define, implement, and productionize metrics to monitor AI system performance over time, including automated tracking and monitoring of regressions and drift.Analyze model failure modes across documents, projects, customers, and time, communicating findings effectively...

About RebarRebar is pioneering the development of an AI-driven operating system tailored for the commercial HVAC, Electrical, and Plumbing industries.In just the past year, our innovative quoting platform has efficiently managed tens of thousands of projects across North America, resulting in a remarkable doubling of our revenue within the first six weeks of this year. We proudly serve a diverse clientele, including some of the industry's leading firms engaged in billion-dollar construction projects, many of which still rely on outdated workflows.The construction sector accounts for approximately 10% of GDP and is significantly underserved when it comes to software solutions. We are dedicated to transforming this landscape.Having successfully secured a $14 million Series A funding from top construction technology investors, we are excited to embark on our next growth phase. Our mission is to create a suite of AI-native products that will revolutionize the way this industry operates.We are seeking a Frontend Engineer to join our dynamic team in building and scaling a real-time collaborative platform for field operations. You will collaborate with a small, seasoned team focused on developing high-performance web applications that support essential workflows in this rapidly evolving industry.This position is ideal for individuals who are passionate about crafting intuitive user experiences, utilizing modern frontend technologies, and thriving in a fast-paced, early-stage environment.

About Rebar Rebar builds the operating system for commercial HVAC, electrical, and plumbing suppliers and subcontractors. Our V1 quoting product now handles thousands of quotes each week and has helped us double revenue in 2026. Leading suppliers across North America use our platform. With $14M in Series A funding from top construction tech investors, we are expanding quickly and planning to integrate AI into upcoming releases. Role Overview: Account Executive Rebar is hiring its fourth Account Executive in New York City. This person will own revenue generation from the start, working with a technology-driven approach to modernize an industry that still relies heavily on manual processes. The role includes shaping sales playbooks, messaging, and customer strategies as we ramp up growth. This position suits someone interested in understanding customer workflows, leading enterprise sales, and collaborating with product and engineering as the team scales. What You Will Do Drive Revenue and Grow Customer Base Manage the full sales cycle: prospecting, product demos, negotiation, and closing deals Build outbound and inbound sales strategies from scratch Develop and maintain relationships with representatives, contractors, distributors, and manufacturers Attend major industry conferences and events to expand the pipeline, form partnerships, and increase brand visibility Travel regularly to meet customers and prospects, strengthening relationships and moving deals forward Give prompt feedback on go-to-market performance, messaging, and pricing Champion Customer Needs Build a strong understanding of HVAC takeoff, estimating, and quoting processes Turn customer feedback into clear product requirements Work closely with Product and Engineering to refine the roadmap and improve customer experience Advise founders on positioning, packaging, and growth strategies Strengthen Go-To-Market Foundations Set up sales processes, CRM workflows, and training materials Create standardized objection handling, qualification criteria, and demo methods

About RebarAt Rebar, we are pioneering the development of an AI operating system tailored for the commercial HVAC, Electrical, and Plumbing sectors. Our innovative quoting platform has successfully processed tens of thousands of projects across North America within the last year, contributing to a remarkable doubling of our revenue in just the first six weeks of this year. We proudly serve many of the industry's leading firms, some of which are managing billion-dollar construction projects using outdated workflows that feel like they belong in the past.With construction representing 10% of GDP and remaining significantly underserved by technology, we are on a mission to transform the landscape.Following a successful $14M Series A funding round from prominent construction tech investors, we are poised to enter our next growth phase. Our focus is on building a suite of AI-native products that will revolutionize industry operations.We are in search of a forward-thinking Product Manager eager to create impactful products, accelerate innovation, and take early ownership in their work. You will play a crucial role in shaping how AI transforms one of the world's largest industries.Your ResponsibilitiesYou will be our first product hire.Collaborating closely with the founders, you will help define Rebar's product strategy—what we develop today, next month, and in the long-term. Our customers depend on Rebar throughout their workday, providing us with continuous and direct feedback rooted in real-world workflows. You will engage with users, gaining insights into their operations and ensuring we remain focused on solving the most critical challenges.This role is hands-on and requires a high level of ownership, making it ideal for someone who is eager to learn rapidly, take initiative, and contribute to building something meaningful from the ground up.You will:Collaborate closely with founders to guide product decisions and execution.Engage frequently with customers to understand their workflows and challenges.Identify and prioritize significant problems to address.Enhance and expand the core product experience.Contribute to the launch of new products and features.Translate customer feedback into clear, actionable product direction.Assist in developing and refining our product planning and shipping processes.Work in partnership with engineering and design teams to iterate quickly and deliver high-quality outcomes.Support alignment between customer and internal feedback.

About RebarRebar is at the forefront of revolutionizing the operational landscape for commercial HVAC, electrical, and plumbing suppliers and subcontractors. With our innovative V1 quoting product, we've achieved remarkable scalability, processing thousands of quotes weekly, and have doubled our revenue shortly after the start of 2026. Backed by a $14M Series A investment from top construction tech investors, we are poised for significant growth. Join us as we seek a Client Experience Leader to enhance our Client Success strategy.You will collaborate directly with the Client Success (CS), Product, and Sales teams to enrich client interactions and establish the systems that will shape Rebar’s customer experience. We are transforming the $250B HVAC industry with cutting-edge AI-driven software—an industry ready for modern advancements. This is your opportunity to be a pivotal part of our journey.The Role: Client Experience LeadAs our initial product gains traction and scales rapidly, our focus remains on delivering exceptional client support that has been fundamental to our success. With plans to onboard thousands of users in the next 1-2 years, we are looking for a Client Experience Lead to develop and expand a high-performance support function from scratch.Your role will encompass more than just addressing client concerns; you will architect the systems, processes, and team that provide this support. Working in close collaboration with the Client Success, Product, Engineering, and Sales teams, you will ensure our clients receive prompt, effective assistance while continuously refining the product based on user feedback.What You’ll DoLead and develop the client support function, including processes, systems, and team structure.Act as the primary escalation point for complex or high-priority client issues.Design and implement scalable support workflows utilizing ticketing and messaging systems, enhancing speed and coverage with AI tools and on-demand resources.Establish service level agreements (SLAs), response standards, and performance metrics.Utilize reporting and analytics to identify trends, gaps, and opportunities for enhancing the client experience.Work closely with Product and Engineering teams to prioritize issues, drive resolutions, and influence the product roadmap.Create feedback mechanisms between clients and internal teams to foster continuous improvement of the platform.Recruit, train, and oversee a growing support team over time.Ensure smooth transitions and alignment between Implementation, Support, and other departments.

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.

Join the dynamic team at the City of New York as a Data Analyst. In this pivotal role, you will leverage data analytics to drive decision-making processes and optimize services for the citizens of New York. Your expertise will contribute to various projects aimed at enhancing operational efficiency and delivering impactful insights.

About RebarRebar is revolutionizing the operating system for commercial HVAC, electrical, and plumbing suppliers and subcontractors. In just one year, our V1 quoting product has achieved remarkable success, facilitating thousands of quotes weekly, doubling revenue shortly into 2026, and securing adoption from many top suppliers across North America. With a recent $14M Series A funding led by prominent investors in construction technology, we are poised for significant growth and are seeking a Client Success Manager to drive our client success initiatives.In this role, you will collaborate closely with the Client Success, Product, and Sales teams to enhance client experiences and establish systems that define Rebar’s service. Our mission is to transform the $250B HVAC industry using AI-driven software, an area that remains largely untapped by modern solutions. This is an exceptional opportunity to be part of our early-stage growth.The Role: Client Success Manager (Post-Implementation & Growth)This role transcends the traditional definition of a CSM.Our Implementation team handles onboarding, and we are in search of an industry-savvy professional to take the reins of the client relationship after the initial handoff—focusing on driving adoption, resolving daily challenges, and ensuring clients extract real value from Rebar within their workflows.You will act as a hybrid of operator, problem-solver, and essential feedback conduit for our product. By working closely with clients and coordinating with the CS team, Sales, Product, and Engineering, you will ensure our software is optimized for real-world application and continually evolves.This position is characterized by high intensity, significant ownership, and substantial potential. If you prefer a structured, low-pressure CSM role, this position may not be suitable for you.What You’ll DoOversee client relationships post-implementation, ensuring ongoing success from initial handoff to long-term engagement.Serve as the primary liaison for clients while managing a book of business.Promote product adoption, ensuring clients maximize their use of Rebar in their operations.Address real-time issues and maintain clients' workflow continuity.Forge strong relationships with stakeholders across client organizations, from operational staff to leadership levels.Identify opportunities for account growth, increased usage, and renewals.Manage risks proactively through outreach and effective escalation strategies.Collaborate closely with Product and Engineering teams to relay client feedback and enhance the platform.Maintain CRM, client communications, and ticketing systems to track client interactions.

About ForaFora is the modern travel agency that empowers travel enthusiasts to establish successful advisory businesses. We are revolutionizing the $100B+ travel agency sector by integrating advanced technology, insightful data, and a supportive community, enabling countless entrepreneurs to thrive on our platform. Our all-in-one platform equips travel entrepreneurs with everything necessary to launch and grow their business, ranging from state-of-the-art tools and personalized training to a dynamic community and exclusive industry partnerships. Our mission is to assist the new wave of travel entrepreneurs in transforming their passion for travel into a rewarding career, whether they choose to work full-time or part-time. We believe that everyone, from veteran professionals to first-time advisors, can create something that is both lucrative and personal.Founded in 2021 by experienced entrepreneurs, Fora has steadily expanded to a dedicated team of 200+ full-time employees located in the heart of New York City. In 2025, we announced our $60 million Series B and C funding rounds, led by Thrive Capital and Insight Partners, with contributions from previous investors including Forerunner and Heartcore Capital. We have also garnered accolades as a LinkedIn Top Startup 2024, Fast Company’s Most Innovative Companies in 2023 and 2025, and Built In's Best Places to Work 2025.We are creating the first genuinely integrated platform for all travel needs—harnessing the best of human expertise and technology to revolutionize how people plan and book travel.About The RoleFora is seeking its inaugural Senior Analytics Engineer to enhance the scalability of our data modeling, curation, and delivery across the organization. As our centralized data team expands, we aim to find a committed leader for the analytics transformation and metrics layer, ensuring that analysts and stakeholders have access to timely, reliable, and actionable insights.This pivotal role will involve establishing analytics engineering standards, developing trusted data marts and metric definitions, and enhancing data quality and performance throughout Fora's data stack. This position reports to the Director of Data & Analytics and collaborates closely with partners in Engineering, Product, Finance, and Growth.

Join Our Team as a Data Engineer! Are you ready to take your career to the next level? At FanDuel, we are seeking a passionate and skilled Data Engineer to join our dynamic data platform team. In this pivotal role, you will have the opportunity to design, build, and scale robust data infrastructure that drives analytics, machine learning, and critical business decisions across our organization. Your responsibilities will include taking full ownership of the design and delivery of secure, reliable, and cost-effective data platforms. Your work will empower data engineers, analysts, and data scientists to excel in their roles. As a key player in our team, you will collaborate closely with engineering, analytics, and security teams to enhance platform reliability, performance, and the overall developer experience for impactful data workflows at scale. Your strong engineering judgment will guide you in addressing ambiguous technical challenges, making architectural decisions, and contributing to the technical growth of the team. The ideal candidate is a seasoned engineer who thrives in a fast-paced, collaborative environment and is adept at managing complex systems end-to-end. If you are excited about building resilient data platforms and making a significant impact at a forward-thinking company, we want to hear from you!

At PermitFlow, we are transforming the construction landscape in America through innovative applied AI technology. Our mission is to assist builders across the nation in overcoming one of the most significant challenges in the industry: comprehending what can be built, where, and how. Our AI-driven solutions empower leading construction firms to navigate the complexities of permitting, licensing, inspections, and project closures, thereby accelerating the development of housing, clean energy, and vital infrastructure nationwide.Despite being a $1.6 trillion industry, construction continues to face substantial delays, inefficiencies, and lost opportunities. PermitFlow has successfully enhanced speed, accuracy, and transparency for over $20 billion in development projects, enabling contractors to minimize compliance durations, mitigate risks, and grow confidently.As the U.S. enters a new capital expenditure supercycle across various sectors including data centers, manufacturing, housing, and renewable energy, joining PermitFlow means contributing to the AI framework that underpins every construction project, paving the way for the next era of industrial growth.With over $90 million in funding, most recently from our Series B round, we are backed by prestigious investors such as Accel, Kleiner Perkins, Initialized, Y Combinator, Felicis, and Altos Ventures, alongside industry leaders from OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber.Our headquarters are located in New York City, and we operate on a hybrid work schedule (3 days in-office per week). We encourage applications from candidates based in NYC or those willing to relocate.

At Profound, we are dedicated to empowering organizations to comprehend and manage their AI landscape effectively. We are seeking a talented Software Engineer for our Data Platform team to architect, develop, and enhance the infrastructure that drives data initiatives across our organization.In this role, you will design scalable platforms and create tools and frameworks that support data scientists, analytics engineers, and machine learning engineers. You'll be instrumental in laying the groundwork for analytics, experimentation, and machine learning-driven features. This is an exciting opportunity for individuals who thrive on constructing resilient systems, tackling intricate technical challenges, and enabling teams through superior platform design.Key ResponsibilitiesDesign and develop platform infrastructure that caters to the needs of machine learning, analytics, and software engineers, along with data scientists throughout the organization.Create tools and frameworks for data ingestion, transformation, quality assurance, and observability.Architect robust and scalable systems utilizing technologies such as Snowflake, Clickhouse, AWS, dbt, and Dagster.Implement governance, access control, and data quality systems that grow alongside the organization.Facilitate MLOps by establishing infrastructure to support model development and deployment.Lead technical discussions regarding platform architecture, tool selection, and data management practices.Collaborate effectively with product, engineering, and data teams to identify needs and deliver impactful solutions.

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.

Join the dynamic team at the City of New York as a Systems Analyst. In this pivotal role, you will leverage your analytical skills to optimize and enhance our IT systems, ensuring they meet the needs of our diverse departments and the citizens we serve.

About QlooAt Qloo, we leverage extensive behavioral and catalog data to drive insightful recommendations across various sectors including entertainment, dining, travel, and retail. Our cutting-edge platform is constructed on a robust AWS data architecture, facilitating advanced analytics, APIs, and machine-learning models utilized by prominent brands. We are in search of a skilled Data Engineer to contribute to the enhancement and scaling of this innovative platform.Position SummaryAs a Data Engineer at Qloo, you will be instrumental in designing, constructing, and managing the data pipelines that aggregate information from external vendors, internal systems, and public sources into our S3-based data lake and related services. You will engage with AWS Glue, EMR (Spark), Athena/Hive, and Airflow (MWAA) to ensure that our data is precise, well-structured, and readily accessible for analytics, indexing, and machine-learning initiatives.You should feel confident managing end-to-end data workflows, encompassing ingestion, transformation, quality assurance, monitoring, and performance optimization.Key Responsibilities- Design, develop, and maintain batch data pipelines utilizing Python, Spark (EMR), and AWS Glue, transferring data from S3, RDS, and external sources into Hive/Athena tables.- Structure datasets in our S3/Hive data lake to facilitate analytics (Hex), API functionalities, Elasticsearch indexing, and machine learning models.- Create and manage workflows in Airflow (MWAA), handling dependency management, scheduling, retries, and alert notifications via Slack.- Establish robust data quality and validation mechanisms (schema validation, freshness/volume checks, anomaly detection) to ensure prompt issue identification through monitoring and alerts.- Enhance job performance for cost and efficiency (partitioning, file formats, join strategies, appropriate utilization of EMR/Glue resources).- Collaborate closely with data scientists, ML engineers, and application developers to comprehend data needs and design schemas and pipelines that address diverse use cases.- Contribute to internal tools and shared libraries to streamline, secure, and standardize interactions with our data platform.- Document pipelines, datasets, and best practices to ensure clear understanding and accessibility for the wider team.Required Qualifications- Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or equivalent hands-on experience.- Proficient in Python and distributed data processing using Spark (PySpark) in EMR or a comparable environment.- Practical experience with key AWS data services, particularly: - S3 (data lake, partitioning, lifecycle management) - AWS Glue (jobs, crawlers, catalogs) - EMR or other managed Spark environments.

The City of New York seeks a PASSPort Data Analyst to support public service improvements through careful data analysis. This position centers on gathering, interpreting, and presenting data that informs city operations. Role overview The PASSPort Data Analyst examines complex datasets related to city services. The work involves identifying trends, generating reports, and helping teams understand how data can guide better decisions for New York City’s public programs. Community impact Analysis from this role directly influences decisions that affect residents and city operations. Projects handled by the PASSPort Data Analyst contribute to more efficient, effective services for New Yorkers.

At Endex, we are at the forefront of transforming financial services by integrating advanced AI technologies. Our goal is to develop the most sophisticated digital coworker for financial institutions, enabling teams of AI analysts to work seamlessly alongside expert analysts. We are seeking innovative minds to join us in this mission, collaborating closely with leading research labs.As a Data Engineer, you will play a critical role in establishing the data infrastructure that empowers our autonomous financial analysts. Your responsibilities will include designing and maintaining data pipelines that convert raw financial data into valuable insights for investment firms. You could be an ideal candidate if you...have experience building resilient data infrastructure capable of managing complex, time-sensitive data.are skilled in designing ETL pipelines and data models that facilitate intensive analytical workflows.value data integrity, testing, and monitoring highly.are passionate about the intersection of finance and data.Join us in revolutionizing financial analysis tools that will reshape the operational landscape for investment firms.

The City of New York is seeking a Data Scientist to help improve city services through data-driven insights. This role centers on analyzing large and complex datasets, building predictive models, and supporting city departments with clear, actionable findings. Role overview As a Data Scientist, the work involves examining diverse data sources, identifying trends, and translating raw information into practical recommendations. The position supports multiple city initiatives, providing analysis that informs policy and operational decisions. What you will do Analyze complex datasets from various city departments Develop predictive models to forecast trends and outcomes Deliver insights that help guide city programs and services Location This position is based in New York City.

Join Our Team as a Senior Data Engineer!Are you ready to take your career to the next level? FanDuel is seeking a Senior Data Engineer who will be instrumental in designing and building scalable, reliable, and high-performance data solutions that fuel analytics, machine learning, and business operations. As a hands-on contributor, you will play a significant role in establishing the core technical foundation of our data ecosystem.You will collaborate with a diverse team of engineers, analysts, product managers, and data scientists to create data pipelines and platforms that lead to impactful business results. The ideal candidate possesses excellent problem-solving abilities, is a strong team player, and brings both technical expertise and a collaborative spirit to every challenge.If you're excited about the prospect of working in a dynamic environment and tackling innovative challenges, we want to hear from you!Key Responsibilities:Build & Maintain Data Infrastructure: Design, develop, and maintain scalable ETL/ELT pipelines to support various data products and operational systems. Work with large-scale, complex datasets ensuring data cleanliness, proper modeling, and accessibility across the organization.Deliver High-Quality, Reusable Solutions: Create modular, reusable data models and assets utilizing tools like Spark, dbt, or similar frameworks. Collaborate with stakeholders to transform business needs into reliable, production-ready data solutions while ensuring data quality and consistency.Contribute to Engineering Excellence: Advocate for software engineering best practices, including testing, version control, documentation, and code reviews. Engage in technical design discussions and architecture reviews, helping to evolve our data platform for improved performance and scalability.Collaborate & Communicate: Partner closely with data scientists, analysts, and product managers to ensure alignment and drive solutions that meet business objectives.

The mission of The New York Times is to seek the truth and help people understand the world. Independent journalism is at the heart of all we do, which is why we have a world-renowned newsroom that sends journalists to report from nearly 160 countries. Our focus on enhancing how readers engage with our journalism is paramount, whether in print, audio, or our digital platforms. Our business strategy is built on delivering journalism of such high quality that it is worth paying for.Role Overview:The Data Platform Mission is dedicated to empowering our organization by providing access to data for critical decision-making, enhancing user experiences, and driving impactful strategic choices that create value. We are in search of skilled Analytics Engineers who can help shape a new function within the Data Platform, focusing on supporting our essential data assets across various domains at The New York Times.As a Senior Analytics Engineer, you will collaborate with diverse teams to manage, enhance, and ensure the quality of data across specific organizational domains, facilitating efficient, data-driven decisions and experiences. You will become a subject matter expert within these domains, playing a crucial role in data initiatives and reporting directly to the Executive Director of Analytics Engineering.Key Responsibilities:Act as a Data Platform Evangelist by offering frameworks, training, and guidance to enable individuals to effectively utilize data platform capabilities and articulate well-defined data requirements.Establish data management frameworks providing clear guidelines for data producers, while collaborating with data platform teams to enhance data quality and accessibility.