{"schemaVersion":"jobsearcher.job.v1","id":"2576ac90f9d2e653b9924d2c","url":"https://jobsearcher.com/jobs/2576ac90f9d2e653b9924d2c","canonicalUrl":"https://jobsearcher.com/jobs/2576ac90f9d2e653b9924d2c","title":"Manager, Data Analytics and Engineering","description":"About Our Client:The organization operates in the sports and daily fantasy sports (DFS) industry in North America. It addresses the challenge of providing a diverse and engaging platform that covers major sports leagues and esports, catering to a wide audience with varying levels of sports fandom. The organization supports analytics and decision-making through data-driven products and services, employing a sizeable team in an inclusive environment.About the Opportunity:The MANAGER, DATA ANALYTICS AND ENGINEERING leads a team responsible for building and maintaining scalable and reliable data engineering pipelines to produce analytical data products. This role combines people leadership, technical oversight, and collaboration across departments to ensure data quality and accessibility, thereby supporting analytics, artificial intelligence, and business decisions. The position is critical for delivering trusted data solutions that drive organizational impact.Responsibilities:Lead, mentor, and develop a team of data engineers through regular coaching and feedbackManage hiring, onboarding, career growth, and performance managementPromote a culture of accountability, ownership, collaboration, and continuous improvementBalance team delivery expectations with sustainable practicesDesign, develop, and operate data ingestion, transformation, and storage pipelinesEnsure data system reliability, scalability, performance, and cost efficiencyDrive best practices in data modeling, quality, observability, and operational excellenceReview and guide technical designs, architecture, and code qualityCollaborate with platform and infrastructure teams on tooling, security, and scalabilityTranslate business and analytics needs into scalable technical solutionsPartner with Product, Analytics Engineering, Data Science, and Business teams on datasets and metricsManage sprint planning, prioritization, and delivery commitmentsCommunicate progress, risks, and tradeoffs to stakeholders and leadershipEstablish and enforce data engineering standards, patterns, and documentationSupport data governance, contracts, schema management, and compliance with security and privacy requirementsRequirements:Graduate degree in Computer Science, Mathematics, or related quantitative field8+ years of experience in Data Engineering or related roles3+ years of engineering leadership including hiring and coachingStrong fundamentals in distributed systems including scaling and reliabilityProficient in Python and/or Java with hands-on coding abilityExperience with cloud data ecosystems (preferably GCP, also AWS or Azure)Proficiency with SQL and one programming language (Python, Java, or Scala)Experience with orchestration tools like Airflow or ArgoKnowledge of data modeling, ETL/ELT patterns, and data reliabilityExperience with streaming technologies such as Kafka, Flink, Spark StreamingFamiliarity with modern data warehouses or lakehouses (BigQuery, Snowflake, Redshift, Iceberg)Understanding of analytics engineering tools like dbt and semantic layersExposure to data governance, observability, and data quality toolsSelf-starter with strong ownership and problem-solving skillsEffective team builder and mentorDesigns for operability, correctness, and reliability from the startPay Range and Compensation Package:The typical salary range for this position is $215,000 to $235,000, with actual pay depending on location, skills, experience, and education.Benefits & Perks:Company-subsidized medical, dental, and vision plans401(k) plan with company matchAnnual bonusFlexible paid time off encouraging work-life balanceGenerous paid leave programs including 16-week paid parental leave and disability benefitsWorkplace flexibility and modern work schedulesCompany-wide in-person events and team outingsLifestyle enhancement programCompany-provided equipment (Windows and Mac options)Annual performance reviews with opportunities for growthEqual Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.Note:RemoteHunter is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.","company":"Remotehunter","rawCompany":"remotehunter","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-10-28T10:00:03.188Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Manager, Data Analytics and Engineering","description":"About Our Client:The organization operates in the sports and daily fantasy sports (DFS) industry in North America. It addresses the challenge of providing a diverse and engaging platform that covers major sports leagues and esports, catering to a wide audience with varying levels of sports fandom. The organization supports analytics and decision-making through data-driven products and services, employing a sizeable team in an inclusive environment.About the Opportunity:The MANAGER, DATA ANALYTICS AND ENGINEERING leads a team responsible for building and maintaining scalable and reliable data engineering pipelines to produce analytical data products. This role combines people leadership, technical oversight, and collaboration across departments to ensure data quality and accessibility, thereby supporting analytics, artificial intelligence, and business decisions. The position is critical for delivering trusted data solutions that drive organizational impact.Responsibilities:Lead, mentor, and develop a team of data engineers through regular coaching and feedbackManage hiring, onboarding, career growth, and performance managementPromote a culture of accountability, ownership, collaboration, and continuous improvementBalance team delivery expectations with sustainable practicesDesign, develop, and operate data ingestion, transformation, and storage pipelinesEnsure data system reliability, scalability, performance, and cost efficiencyDrive best practices in data modeling, quality, observability, and operational excellenceReview and guide technical designs, architecture, and code qualityCollaborate with platform and infrastructure teams on tooling, security, and scalabilityTranslate business and analytics needs into scalable technical solutionsPartner with Product, Analytics Engineering, Data Science, and Business teams on datasets and metricsManage sprint planning, prioritization, and delivery commitmentsCommunicate progress, risks, and tradeoffs to stakeholders and leadershipEstablish and enforce data engineering standards, patterns, and documentationSupport data governance, contracts, schema management, and compliance with security and privacy requirementsRequirements:Graduate degree in Computer Science, Mathematics, or related quantitative field8+ years of experience in Data Engineering or related roles3+ years of engineering leadership including hiring and coachingStrong fundamentals in distributed systems including scaling and reliabilityProficient in Python and/or Java with hands-on coding abilityExperience with cloud data ecosystems (preferably GCP, also AWS or Azure)Proficiency with SQL and one programming language (Python, Java, or Scala)Experience with orchestration tools like Airflow or ArgoKnowledge of data modeling, ETL/ELT patterns, and data reliabilityExperience with streaming technologies such as Kafka, Flink, Spark StreamingFamiliarity with modern data warehouses or lakehouses (BigQuery, Snowflake, Redshift, Iceberg)Understanding of analytics engineering tools like dbt and semantic layersExposure to data governance, observability, and data quality toolsSelf-starter with strong ownership and problem-solving skillsEffective team builder and mentorDesigns for operability, correctness, and reliability from the startPay Range and Compensation Package:The typical salary range for this position is $215,000 to $235,000, with actual pay depending on location, skills, experience, and education.Benefits & Perks:Company-subsidized medical, dental, and vision plans401(k) plan with company matchAnnual bonusFlexible paid time off encouraging work-life balanceGenerous paid leave programs including 16-week paid parental leave and disability benefitsWorkplace flexibility and modern work schedulesCompany-wide in-person events and team outingsLifestyle enhancement programCompany-provided equipment (Windows and Mac options)Annual performance reviews with opportunities for growthEqual Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.Note:RemoteHunter is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.","datePosted":"2026-10-28T10:00:03.188Z","dateModified":"2026-10-28T10:00:03.188Z","hiringOrganization":{"@type":"Organization","name":"Remotehunter","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2576ac90f9d2e653b9924d2c"},"url":"https://jobsearcher.com/jobs/2576ac90f9d2e653b9924d2c"}}