{"schemaVersion":"jobsearcher.job.v1","id":"141b3f89147ec96c5d9b2d9c","url":"https://jobsearcher.com/jobs/141b3f89147ec96c5d9b2d9c","canonicalUrl":"https://jobsearcher.com/jobs/141b3f89147ec96c5d9b2d9c","title":"Data Engineering Manager","description":"About Us:\nYipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.\nOur data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world's top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.\nWe operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.\nWhat It's Like to Work at YipitData:\nYipitData isn't a place for coasting—it's a launchpad for ambitious, impact-driven professionals.\nFrom day one, you'll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.\nWhy Top Talent Chooses YipitData:\nOwnership That Matters: You'll lead high-impact projects with real business outcomes\nRapid Growth: We compress years of learning into months\nMerit Over Titles: Trust and responsibility are earned through execution, not tenure\nVelocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention\nIf your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you've been waiting for.\nAbout The Role:\nWe are looking for a highly skilled Data Engineering Manager to join our Data Engineering team and play a central role in building and scaling our vendor universe—the database of companies we track and analyze. Reporting directly to the Senior Director of Data Engineering, this role demands technical leadership, independence, and the ability to deliver under tight deadlines in a fast-paced environment.\nAs a Data Engineering Manager, you will design and maintain large-scale data pipelines, define best practices for ETL, and integrate emerging technologies to keep our platform on the cutting edge. You'll work cross-functionally to deliver reliable, efficient, and scalable data solutions while contributing hands-on expertise in Databricks, Airflow, PySpark, and SQL.\nWhat You'll Do\nOwn the design, build, and optimization of end-to-end data pipelines that power our vendor universe.\nEstablish and enforce best practices in data modeling, orchestration, and system reliability.\nCollaborate with product, engineering, and business stakeholders to translate requirements into robust, scalable data solutions.\nWork extensively with Databricks and Airflow for large-scale data processing and orchestration.\nTroubleshoot and resolve complex pipeline issues to ensure reliability and performance.\nContribute to the team's technical strategy, helping drive improvements in scalability, performance, and efficiency.\nLead, mentor, and support engineers through challenges, code reviews, and project execution.\nWhat We're Looking For\n6+ years of professional experience in Data Engineering or equivalent technical roles (e.g., data architecture, big data development, or ETL engineering).\n2+ years of managerial experience, including mentoring, team leadership, and supporting delivery.\nStrong expertise in SQL and distributed data systems.\nProficiency with PySpark and Databricks for processing and scaling large datasets.\nHands-on experience with Airflow for pipeline orchestration (Dagster/dbt a plus).\nProven track record of delivering in fast-paced, deadline-driven environments with minimal oversight.\nStrong problem-solving skills and ability to translate business needs into scalable technical solutions.\nExcellent communication and collaboration skills with both technical and non-technical stakeholders.\nNice to Have\nExperience leveraging AI/ML models, vector search, or Elasticsearch to enhance data pipelines.\nFamiliarity with Django or similar web frameworks to support data-driven applications.\nThis is a remote-friendly opportunity that can sit in NYC (where our headquarter is located), one of our office hubs (Austin, Miami, Denver or Mountain View,), or anywhere else in the US. However, depending upon where the remote work is performed, income could be subject to New York State tax withholding.\nAs Our Data Engineering Manager You Will:\nWorking with product team to bring an idea to reality\nLeveraging cutting edge technologies to solve complex data problems\nHelping to lead a team through different data models and architectural decisions\nYou Are Likely To Succeed If:\nExperience leveraging AI/ML models, vector search, or Elasticsearch to enhance data pipelines.\nExperience building a reliable and efficient data pipelines\nAbility to meet tight deadlines in a fast paced environment\nWhat We Offer:\nOur compensation package includes comprehensive benefits, perks, and a competitive salary\n\nWe care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!\nYour growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!\nThe annual on-target earnings for this position is anticipated to be up to $190K - $225K.\nThe final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks.\nThe compensation package also includes equity.\nThis role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, and Mountain View. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.\n\nPlease note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.\nWe are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer.\nJob Applicant Privacy Notice","company":"Yipitdata Alternative","rawCompany":"yipitdata alternative","city":"New York","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-07-16T15:17:53.556Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineering Manager","description":"About Us:\nYipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.\nOur data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world's top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.\nWe operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.\nWhat It's Like to Work at YipitData:\nYipitData isn't a place for coasting—it's a launchpad for ambitious, impact-driven professionals.\nFrom day one, you'll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.\nWhy Top Talent Chooses YipitData:\nOwnership That Matters: You'll lead high-impact projects with real business outcomes\nRapid Growth: We compress years of learning into months\nMerit Over Titles: Trust and responsibility are earned through execution, not tenure\nVelocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention\nIf your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you've been waiting for.\nAbout The Role:\nWe are looking for a highly skilled Data Engineering Manager to join our Data Engineering team and play a central role in building and scaling our vendor universe—the database of companies we track and analyze. Reporting directly to the Senior Director of Data Engineering, this role demands technical leadership, independence, and the ability to deliver under tight deadlines in a fast-paced environment.\nAs a Data Engineering Manager, you will design and maintain large-scale data pipelines, define best practices for ETL, and integrate emerging technologies to keep our platform on the cutting edge. You'll work cross-functionally to deliver reliable, efficient, and scalable data solutions while contributing hands-on expertise in Databricks, Airflow, PySpark, and SQL.\nWhat You'll Do\nOwn the design, build, and optimization of end-to-end data pipelines that power our vendor universe.\nEstablish and enforce best practices in data modeling, orchestration, and system reliability.\nCollaborate with product, engineering, and business stakeholders to translate requirements into robust, scalable data solutions.\nWork extensively with Databricks and Airflow for large-scale data processing and orchestration.\nTroubleshoot and resolve complex pipeline issues to ensure reliability and performance.\nContribute to the team's technical strategy, helping drive improvements in scalability, performance, and efficiency.\nLead, mentor, and support engineers through challenges, code reviews, and project execution.\nWhat We're Looking For\n6+ years of professional experience in Data Engineering or equivalent technical roles (e.g., data architecture, big data development, or ETL engineering).\n2+ years of managerial experience, including mentoring, team leadership, and supporting delivery.\nStrong expertise in SQL and distributed data systems.\nProficiency with PySpark and Databricks for processing and scaling large datasets.\nHands-on experience with Airflow for pipeline orchestration (Dagster/dbt a plus).\nProven track record of delivering in fast-paced, deadline-driven environments with minimal oversight.\nStrong problem-solving skills and ability to translate business needs into scalable technical solutions.\nExcellent communication and collaboration skills with both technical and non-technical stakeholders.\nNice to Have\nExperience leveraging AI/ML models, vector search, or Elasticsearch to enhance data pipelines.\nFamiliarity with Django or similar web frameworks to support data-driven applications.\nThis is a remote-friendly opportunity that can sit in NYC (where our headquarter is located), one of our office hubs (Austin, Miami, Denver or Mountain View,), or anywhere else in the US. However, depending upon where the remote work is performed, income could be subject to New York State tax withholding.\nAs Our Data Engineering Manager You Will:\nWorking with product team to bring an idea to reality\nLeveraging cutting edge technologies to solve complex data problems\nHelping to lead a team through different data models and architectural decisions\nYou Are Likely To Succeed If:\nExperience leveraging AI/ML models, vector search, or Elasticsearch to enhance data pipelines.\nExperience building a reliable and efficient data pipelines\nAbility to meet tight deadlines in a fast paced environment\nWhat We Offer:\nOur compensation package includes comprehensive benefits, perks, and a competitive salary\n\nWe care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!\nYour growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!\nThe annual on-target earnings for this position is anticipated to be up to $190K - $225K.\nThe final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks.\nThe compensation package also includes equity.\nThis role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, and Mountain View. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.\n\nPlease note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.\nWe are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer.\nJob Applicant Privacy Notice","datePosted":"2026-07-16T15:17:53.556Z","dateModified":"2026-07-16T15:17:53.556Z","hiringOrganization":{"@type":"Organization","name":"Yipitdata Alternative","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"141b3f89147ec96c5d9b2d9c"},"url":"https://jobsearcher.com/jobs/141b3f89147ec96c5d9b2d9c"}}