Data Engineering Manager

Manager - Sales, Comm, and Data Analytics Stamford, CT 3 Months Contract to Perm Candidates must also be local or willing to relocate to the Stamford, CT location for day 1 onsite work. Job Description Data Engineer Manager: We seek a highly skilled Data Engineering Manager / Senior Data Analyst with deep technical expertise in SQL, ETL development, and Alteryx, coupled with strong leadership and project management abilities. This is a hands-on role managing a team that builds and maintains complex data workflows powering critical incentive and compensation programs. The ideal candidate is an adaptable professional who thrives in a fast-moving environment and can provide both strategic guidance and day-to-day technical solutions. This will be a 3-month contract to hire, located in Stamford, CT (4 days onsite, 1 day remote). Data Engineering Manager Requirements: • 6–7 years of professional experience (or 4–5 years with a Master’s degree) in data engineering, data analytics, or related roles. • Deep expertise in SQL, including complex stored procedures. • Strong experience with ETL processes—designing, building, and maintaining pipelines to clean and aggregate data. • Hands-on experience building and supporting Alteryx workflows. • Familiarity with Amazon Redshift or other cloud data warehouses. • Ability to thrive in an agile, fast-paced, and dynamic environment, adapting priorities quickly (2–3 day turnaround on projects). • Excellent communication skills, comfortable interfacing with both technical teams and business leaders. • Strong problem-solving and analytical mindset—comfortable working with complex data and numbers. Nice to Have Skills: • 2 years of experience managing a team of developers or analysts. • Prior experience coaching teams through process improvement, education, and solution development. • Experience with compensation, incentives, or payroll data. • Telecom industry experience. Data Engineering Manager Responsibilities: • Lead and manage a team of developers and analysts responsible for designing, building, and maintaining data workflows and pipelines. • Develop, maintain, and optimize SQL stored procedures, ETL processes, and data aggregation pipelines. • Oversee and expand Alteryx workflows to automate daily reporting and data processing; monitor and troubleshoot issues proactively. • Support Amazon Redshift and other data warehouse environments, ensuring scalable and reliable data architecture. • Convert complex business requirements (incentive/compensation rules) into executable logic and code for reporting and payment generation. • Communicate regularly with business stakeholders and leadership to understand requirements, share progress, and educate teams on data solutions. • Deliver projects end-to-end: requirements gathering, development, testing, deployment, and post-launch support. • Maintain a proactive approach to issue identification, resolution, and escalation when needed. • Coach and mentor team members, guiding best practices and professional development.