Manager, Data Analytics and Engineering
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 feedback
- Manage hiring, onboarding, career growth, and performance management
- Promote a culture of accountability, ownership, collaboration, and continuous improvement
- Balance team delivery expectations with sustainable practices
- Design, develop, and operate data ingestion, transformation, and storage pipelines
- Ensure data system reliability, scalability, performance, and cost efficiency
- Drive best practices in data modeling, quality, observability, and operational excellence
- Review and guide technical designs, architecture, and code quality
- Collaborate with platform and infrastructure teams on tooling, security, and scalability
- Translate business and analytics needs into scalable technical solutions
- Partner with Product, Analytics Engineering, Data Science, and Business teams on datasets and metrics
- Manage sprint planning, prioritization, and delivery commitments
- Communicate progress, risks, and tradeoffs to stakeholders and leadership
- Establish and enforce data engineering standards, patterns, and documentation
- Support data governance, contracts, schema management, and compliance with security and privacy requirements
Requirements:
- Graduate degree in Computer Science, Mathematics, or related quantitative field 8+ years of experience in Data Engineering or related roles 3+ years of engineering leadership including hiring and coaching
- Strong fundamentals in distributed systems including scaling and reliability
- Proficient in Python and/or Java with hands-on coding ability
- Experience 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 Argo
- Knowledge of data modeling, ETL/ELT patterns, and data reliability
- Experience with streaming technologies such as Kafka, Flink, Spark Streaming
- Familiarity with modern data warehouses or lakehouses (BigQuery, Snowflake, Redshift, Iceberg)
- Understanding of analytics engineering tools like dbt and semantic layers
- Exposure to data governance, observability, and data quality tools
- Self-starter with strong ownership and problem-solving skills
- Effective team builder and mentor
- Designs for operability, correctness, and reliability from the start
- Pay 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 plans 401(k) plan with company match
- Annual bonus
- Flexible paid time off encouraging work-life balance
- Generous paid leave programs including 16-week paid parental leave and disability benefits
- Workplace flexibility and modern work schedules
- Company-wide in-person events and team outings
- Lifestyle enhancement program
- Company-provided equipment (Windows and Mac options)
- Annual performance reviews with opportunities for growth
Equal 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.