About The Company
Zebra Technologies is a global leader dedicated to enabling intelligent operations through an award-winning portfolio of connected frontline, asset visibility, and automation solutions. Our innovative products and services empower organizations across various industries including retail, manufacturing, transportation, logistics, and healthcare to improve productivity and drive innovation. At Zebra, we foster a culture of curiosity, collaboration, and caring, where diverse perspectives are valued and employees are empowered to make a meaningful impact. Being part of Zebra Nation means you are seen, heard, respected, and supported as you define your career path in a forward-thinking environment. Learn more about our commitment to shaping the future of work at zebra.com.
About The Role
We are seeking a skilled Data & AI Engineer to join our team in Mississauga, CA, working in a hybrid model (3 days in office, 2 days remote). In this role, you will be responsible for designing and building data pipelines that support AI product development and client requirements. You will oversee the work of other engineers, ensuring high-quality, scalable, and efficient data integration solutions. The ideal candidate will have a strong background in databases, SQL, cloud technologies, and modern data orchestration tools such as Azure Data Factory, Informatica, and Airflow. You will play a critical role in developing data transformation code using Spark (Python and Scala) and Dask, automating workflows, validating data quality, and optimizing data science workloads while managing cloud service costs. This position offers the opportunity to work on cutting-edge AI platforms and collaborate with a diverse team in a fast-paced, innovative environment.
Qualifications
- Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
- Minimum 1 year of experience programming in Python, Scala, or Go.
- Minimum 1 year of experience in SQL and data transformation.
- Minimum 1 year of experience developing distributed systems using open-source technologies such as Apache Spark.
- Experience building agents with comprehensive understanding of ontology and data security.
- Minimum 1 year experience working with relational databases or NoSQL databases (MySQL, MariaDB, PostgreSQL, MongoDB, Redis) in Linux environments.
- Preferred experience with Azure and/or Google Cloud Platform (GCP).
- Familiarity with data models in retail and consumer products industries is desirable.
- Experience working in agile project environments and understanding agile methodologies.
- Strong verbal and written communication skills, especially in technical contexts.
- Proven ability to learn new technologies quickly and work independently.
- Ability to work collaboratively in a diverse team setting and achieve ambitious goals.
Responsibilities
- Design and implement scalable data platforms to support AI product development.
- Develop productized and parameterized data pipelines leveraging GPUs and CPUs.
- Create efficient data transformation code using Spark (Python and Scala) and Dask.
- Build automated workflows for data pipelines using Python and Argo.
- Develop and execute data validation tests to ensure input data quality.
- Conduct performance testing and profiling of data processing code using various tools.
- Build frameworks to automate high-volume and real-time data delivery for the data hub.
- Operationalize scalable data pipelines to support data science and advanced analytics initiatives.
- Optimize customer data science workloads and manage cloud service costs and utilization.
- Collaborate effectively with clients and internal teams to meet technical requirements and project goals.
- Oversee and mentor other engineers to ensure quality and timely delivery of solutions.
Benefits
- Competitive base salary with annual incentive compensation targeting 5% of base pay.
- Comprehensive healthcare and wellness programs tailored to employee needs.
- Inclusive networks and community service days supporting diversity and social impact.
- Robust learning and development opportunities to support continuous career growth.
- Parental leave, employee assistance programs, and paid time off based on location.
- Flexible hybrid work model promoting work-life balance.
- Access to cutting-edge technologies and innovative projects in AI and data engineering.
Equal Opportunity
Zebra Technologies is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other basis prohibited by law. We are committed to providing reasonable accommodations for individuals with disabilities throughout the application and employment process. If you require assistance, please contact us at workplace.accommodations@zebra.com.
