We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Data Platform Developer to support our big data infrastructure on Google Cloud Platforms. If you love technology, and are keen to join an industry leader — we would love to hear from you!
What you'll do:The Senior Data Platform Developer supports the existing big data infrastructure on Google Cloud Platform ensuring data is continuously and promptly available for analysis by the data science team. This position will devise new methodologies and infrastructure for reconstructing and enriching data at scale, while supporting internal users who leverage the big data environment to upload additional data sets.
How you'll make an impactDevelop and maintain new data infrastructure platforms managing the data ingestion, digestion, and stream processing of Geotab’s internal data lake.
Develop processes to enrich Geotab’s big data with telematics data at scale.
Develop processes and implement logging, monitoring, and alerting services to ensure the health of Geotab’s big data infrastructure.
Work with data scientists to understand data processing needs and develop infrastructure solutions to support these initiatives.
Create and maintain documentation for architecture, requirements, and process flows.
Support internal Geotab teams to assist with data integration with newly developed big data platforms.
Participate in a 24x7 on-call rotating schedule (if applicable).
Post-secondary Degree specialization in Computer Science, Software or Computer Engineering or a related field.
1-5 years experience in Data Engineering or a similar role.
1-5 years experience in developing production-level systems using Java and Spring framework.
1-3 years experience in designing, building and maintaining production-level application containerization, such as Docker, Kubernetes, or OpenShift.
Knowledge of Apache Kafka, Apache Flink, Apache Ignite, Apache Airflow, Apache SuperSet, Apache Olingo, and DataHub is a big plus.
Knowledge of gRPC, Protobuf, Apache Avro, Apache Beam is a plus.
Knowledge of data management fundamentals and data storage principles.
Knowledge of batch and streaming data architectures.
Experience with API design and implementation.
Familiar with Big Data environments (e.g. Google BigQuery).
Excellent oral and written communication skills.
Strong analytical skills with the ability to problem solve well-judged decisions.
Highly organized and able to manage multiple tasks and projects simultaneously.
Strong team player with the ability to engage with all levels of the organization.
Entrepreneurial mindset and comfortable in a flat organization.
Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program
*The above are offered to full-time permanent employees only
The annual base salary for this position is the expected annual salary for this role, and may be subject to change. Geotab offers various perks and benefits and other compensation components that an individual may be eligible for. The actual base salary for this position depends on a variety of factors such as but not limited to skills, qualifications, education and overall experience, including the location the applicant lives while performing the job. This also includes equity with other team members and alignment with local market data. All offers of employment are contingent upon proof of eligibility to work and the individual's ability to pass a background check.
Skills Required
- Post-secondary degree specializing in Computer Science, Software Engineering, Computer Engineering, or a related field
- 1-5 years of experience in data engineering or a similar role
- 1-5 years of experience developing production-level systems using Java and Spring Framework
- 1-3 years of experience designing, building, and maintaining production-level application containerization
- Knowledge of data management fundamentals and data storage principles
- Knowledge of batch and streaming data architectures
- Experience with API design and implementation
- Familiarity with big data environments such as Google BigQuery
- Excellent oral and written communication skills
- Strong analytical and problem-solving skills
- Ability to manage multiple tasks and projects simultaneously
- Strong teamwork and organizational communication skills
- Knowledge of Apache Kafka, Apache Flink, Apache Ignite, Apache Airflow, Apache Superset, Apache Olingo, and DataHub
- Knowledge of gRPC, Protocol Buffers, Apache Avro, and Apache Beam
GEOTAB Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GEOTAB and has not been reviewed or approved by GEOTAB.
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Healthcare Strength — Coverage includes medical, dental, vision, life, disability, and an EAP as part of a comprehensive core package. U.S. offerings are presented as competitive and consistently paired with other core protections.
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Retirement Support — Offerings include a 401(k) with company match in the U.S., with RRSP or pension alternatives in other regions. Retirement savings support is treated as a standard component of total rewards.
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Parental & Family Support — A distinct “baby bonus” for birth or adoption stands out among family‑focused perks. Certain postings and summaries also reference parental leave top‑ups and related supports.
GEOTAB Insights
What We Do
Welcome to Geotab, the #1 commercial telematics company in the world. Geotab is a place where passion, creativity and innovation align. We are committed to advancing technology, empowering businesses and making the roads safer for everyone. Geotab is the world’s leading connected vehicle company for fleets, providing open platform fleet management solutions to businesses of all sizes. Geotab’s intuitive, full-featured solutions are used by over 40,000 customers around the world to help them better manage their drivers and vehicles. With Geotab devices found in over 2 million vehicles, the company processes over 30 billion data points each day to provide insight into productivity, safety, fuel efficiency and more. Geotab’s employees are essential to our success! We strive to put our employees first and are constantly seeking ways to improve workplace culture. Maintaining our unique culture is vital - after all, staff that enjoy their work environment are motivated to reach their full potential. Employee growth and development has long been the basis of our philosophy, as staff are encouraged to carve their own path within the expanding organization. Challenging the status quo and seeking creative ideas is what we do best.
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