Senior Cloud Data Engineer (Remote)

Who we are

We’re on a mission to transform how fleets operate, using cutting\-edge camera technology, AI, machine learning and telematics to make roads safer and businesses smarter.

As an award\-winning SaaS company in a high\-growth phase, we’re scaling fast and expanding into new markets worldwide. Our technology gives fleet operators real\-time visibility, reduces risk, improves efficiency, and helps set new safety standards across the industry.

Join a global, ambitious team and be part of what's next!

The role

You'll join the CameraMatics data team building and operating the data platform behind our fleet telematics products — ingestion pipelines, alerting and reporting systems, and customer\-facing data features at production scale on AWS. You'll own critical workstreams end\-to\-end: from architecture and design docs through implementation, deployment, and production monitoring.

What you'll do

• Streaming \& batch pipelines: Kinesis\-based event ingestion, Flink processing, EMR batch reprocessing/replay, and Airflow\-orchestrated ETL for customer reports


• Data reliability \& quality: deduplication, schema validation, data completeness checks, and root\-cause investigation of data quality issues in customer\-facing reports


• Data observability: building out Grafana “mission control” dashboards with recency/frequency KPIs across alerts, trips, ingestion, and reporting


• Data lifecycle \& compliance: manifest\-driven data retention enforcement across heterogeneous stores (RDS, DynamoDB, S3, OpenSearch), per\-org retention policies, and audit trails


• Performance \& cost engineering: RDS reader/writer routing, query optimization, OpenSearch shard/index tuning, and AWS cost optimization across Lambda, DynamoDB, and S3

• Sprint\-based delivery with daily standups, ticket triage, and design sessions


• Remote\-first with structured collaboration; AI\-assisted development actively encouraged


• Small senior team where your work ships to production and directly affects customers

Essential:

• 5\+ years in data engineering or backend engineering with heavy data focus


• Strong Python; production experience with AWS Lambda and serverless patterns


• Deep SQL and relational database skills (PostgreSQL/MySQL) — query optimization, partitioning, locking behavior


• Hands\-on with at least several of: Kinesis (or Kafka), Airflow, Flink, EMR/Spark, DynamoDB, OpenSearch/Elasticsearch


• Experience debugging data quality issues in production and building validation/monitoring to prevent recurrence


• Comfortable owning ambiguous problems end\-to\-end: writing design docs, scoping tickets, and driving to deployment

• Grafana/CloudWatch observability tooling; Athena federated queries


• Data retention, GDPR/compliance\-driven data lifecycle work


• Exposure to LLM/GenAI tooling (RAG, knowledge bases, eval frameworks like LangFuse)


• Telematics, IoT, or high\-volume time\-series data domains


• AWS cost optimization experience (reserved capacity, instance right\-sizing)

• A genuinely impactful role, building the data platform behind products that help fleet operators improve safety, efficiency and compliance.


• A collaborative, ambitious team, working alongside a small, senior engineering team where ideas are encouraged, collaboration is valued and AI\-assisted development is embraced.


• The opportunity to make a visible impact quickly. By owning meaningful data engineering challenges end\-to\-end, with the autonomy to shape solutions and see your work go directly into production.


• The chance to work with modern technology at scale. Getting hands\-on with AWS, Python, streaming and batch data processing, observability and high\-volume data systems.


• Grow with a scaling global business as our products, customers and markets continue to expand.

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