Sr. Data Engineer - Remote

If you are a current Chamberlain Group employee, please click here to apply through your Workday account. Chamberlain Group is a global leader in access solutions with top brands, such as LiftMaster and Chamberlain, found in millions of homes, businesses, and communities worldwide... As a leader in the Smart Home industry, we boast one of the largest IoT install bases, with innovative products consisting of cameras, locks, card readers, garage door openers, gates and more, all powered by our myQ digital ecosystem. This role is responsible for providing technical expertise and leadership to design and deliver end-to-end data engineering solutions to support advanced analytics capabilities and drive innovation and decision-making across Chamberlain. Essential Duties And Responsibilities • Build and maintain real-time and batch data pipelines across the advanced analytics platform. • Design, develop and orchestrate highly robust and scalable ETL pipelines. • Design and implement Dimensional and NoSQL data modelling as per the business requirements. • Develop highly optimal codebase and perform Spark optimizations for Big Data use cases. • Design, develop and deploy optimal monitoring and testing strategy for the data products. • Collaborate with stakeholders and advanced analytics business partners to understand business needs and translate requirements into scalable data engineering solutions. • Collaborate with data scientists to prepare data for model development and production. • Collaborate with data visualization and reporting application developers to ensure the sustainability of production applications and reports. • Collaborate with data architects on the enhancement of Chamberlain’s enterprise data architecture and platforms. • Provide leadership to third-party contractors. • Comply with health and safety guidelines and rules. • Protect CGI’s reputation by keeping information confidential. • Maintain professional and technical knowledge by attending educational workshops, professional publications, establishing personal networks, and participating in professional societies.

Minimum Qualifications

Education/Certifications: • Bachelor’s degree in computer science or related quantitative field of study Experience: • 4+ years of professional experience Knowledge, Skills, and Abilities: • Natural sense of urgency, teamwork, and collaboration reflected in daily work ethic. • Proficient in Spark or Databricks, Cloud Data Engineering Services preferably Azure, Streaming frameworks like Event Hubs or Kafka. • Proficient in Microsoft Office. • Familiarity with modern Machine Learning Operationalization techniques. • Agile methodologies. • Familiarity with Data visualization tools, such as Qlik or Power BI.

Preferred Qualifications

Education/Certifications: • Master’s degree in computer science or related quantitative field of study Experience: • 4+ years of professional experience • 2+ years of professional experience delivering engineering for advanced analytics or data science solutions Knowledge, Skills, and Abilities: • Agile methodologies • Experience with IoT Data Architecture. • Machine Learning Operationalization (MLOps) proficiency. • REST API design and development. • Proficiency with streaming design patterns. The pay range for this position is $103,300.00 to $177.475.00; base pay offered may vary depending on a number of factors including, but not limited to, the position offered, location, education, training, and/or experience. In addition to base pay, also offered is a comprehensive benefits package and 401k contribution (all benefits are subject to eligibility requirements). This position is eligible for participation in a short-term incentive plan subject to the terms of the applicable plans and policies. Chamberlain Group wants all of its employees to succeed and encourages people of all backgrounds to apply. We’re proud to be an Equal Opportunity Employer, and you’ll be considered for this role regardless of race, color, religion, sex, national origin, age, sexual orientation, ancestry; marital, disabled or veteran status. We’re committed to fostering an environment where people of all lived experiences feel welcome. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence [email protected]. NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly Apply Job!