Lead Data Engineer (Hybrid)

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 leadership and execution expertise to design and deliver end-to-end data engineering solutions to support new product development and advanced analytics capabilities and drive innovation and decision-making across Chamberlain.
Summary
This role is responsible for providing technical leadership and execution expertise to design and deliver end-to-end data engineering solutions to support new product development and advanced analytics capabilities.

• Collaborate with stakeholders, including product owners and developers, as well as advanced analytics colleagues, including data scientists and data visualization developers, to understand product and business requirements and translate into scalable data engineering solutions
• Build and maintain real-time and batch data pipelines across the advanced analytics platform, including design of data flows, procedures, and schedules for internally and externally sourced data
• 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
• Partner with the Lead Architect in data architecture and solution design
• Perform design, code, and test plan reviews in support of maintaining data engineering standards
• Comply with health and safety guidelines and rules
• Protect CG'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
• Contribute to the team effort by accomplishing related results and participating on projects as needed

Minimum Qualifications:
Education/Certifications:

• Bachelor's degree in computer science or related quantitative field of study

Experience:

• 7+ years of hands-on professional data engineering experience
• 2+ years of professional experience delivering engineering for advanced analytics or data science solutions, preferably related to transportation, logistics, or network optimization
• Demonstrated experience with technologies such as Databricks, Azure Data Factory, Event Hubs and Azure Devops

Knowledge, Skills, and Abilities:

• Natural sense of urgency, teamwork, and collaboration reflected in daily work ethic
• Expert proficiency in programming and querying languages including Python and SQL
• Proficiency in big data processing, including Apache Spark or Databricks
• Proficiency in building and optimizing big data and real time pipelines, datasets, and architectures in cloud environments, preferably Azure using services such as Event Hubs or Kafka
• Strong knowledge of modern machine learning techniques, preferred
• Agile methodologies
• Data visualization tools, such as Power BI, preferred

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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.