Engineering
Senior Developer opportunity focused on building a scalable data platform that ingests high-frequency telemetry data from mobile field machines and supports data science and machine learning workloads at Caterpillar Inc.
As part of the overall digital strategy, Caterpillar has developed an integrated family of machine‑based information technology products that interconnect machines to provide real‑time guidance, tracking, monitoring and supervisory control of the operational mining fleet. The product range, branded MineStar, links with other mining and business information systems and is an integral part of the Mining Technology Enabled Solutions vision.
Responsibilities
* Design and implement robust, scalable components for ingesting, processing, and persisting high‑frequency telemetry data.
* Collaborate with data scientists to host, orchestrate and optimize workloads in Python, Scala, and Java.
* Design and build components using technologies such as Apache Spark, Delta Lake, Redis/Valkey, MQTT, and PostgreSQL.
* Drive modernization efforts, including:
o Containerization and deployment on Kubernetes
o Integration with S3‑compatible object stores (e.g., Ceph)
* Evaluate and integrate emerging technologies (e.g., Flink, Trino, Kafka, DuckDB, Dask, Daft) to optimize performance and scalability.
* Use your experience to contribute to architectural decisions involving event sourcing, CQRS, and hybrid cloud deployments.
Ideal Candidate Profile
* Extensive experience in backend development with languages such as Java, Scala and Python.
* Proven track record working in teams to develop large, complex applications.
* Deep understanding of streaming and batch data processing, ideally with Apache Spark or similar.
* Experience with containerization (Docker) and orchestration (Kubernetes).
* Familiarity with data lake/lakehouse architectures, especially Delta Lake.
* Strong knowledge of message brokers (MQTT, Kafka) and caching systems (Redis/Valkey).
* Comfortable working across multiple languages (Java, Python, Scala).
* Experience in designing systems for scalability, multi‑tenancy, and hybrid deployments.
* Prior experience in Data Engineering roles, and expertise in machine learning algorithms and statistical modelling will be highly regarded.
* Mining Industry knowledge will be desirable, however not mandatory.
Why Join Us?
* Work on a technically challenging and meaningful application in the mining domain.
* Be part of a forward‑thinking team driving innovation in data‑centric systems.
* Influence architectural direction and technology choices.
* Collaborate with experts in autonomy, data science, and distributed systems.
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply.
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