{"id":1106164,"url":"https://alion.io/job/cameramatics-senior-cloud-data-engineer-remote","title":"Senior Cloud Data Engineer (Remote)","company":{"id":698434,"name":"CameraMatics","domain":"cameramatics.com","url":"https://alion.io/company/cameramatics","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_city","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Porto, Portugal"],"countries":["PT"],"hiring_countries":["PT"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":42000,"max_usd":110000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1536},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"DynamoDB","optional":false},{"name":"ElasticSearch","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"Grafana","optional":false},{"name":"MySQL","optional":false},{"name":"OpenSearch","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Amazon CloudWatch","optional":true},{"name":"GDPR","optional":true},{"name":"Langfuse","optional":true},{"name":"LLM","optional":true},{"name":"Machine Learning","optional":true},{"name":"RAG","optional":true},{"name":"Time Series Forecasting","optional":true}],"status":"live","first_seen_at":"2026-09-21T10:21:10Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-10-02T13:57:14Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"Who we are\nWe’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.\nAs 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.\nJoin a global, ambitious team and be part of what's next!\nThe role\nYou'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.\nWhat you'll do\nStreaming & batch pipelines: Kinesis-based event ingestion, Flink processing, EMR batch reprocessing/replay, and Airflow-orchestrated ETL for customer reports\nData reliability & quality: deduplication, schema validation, data completeness checks, and root-cause investigation of data quality issues in customer-facing reports\nData observability: building out Grafana “mission control” dashboards with recency/frequency KPIs across alerts, trips, ingestion, and reporting\nData lifecycle & compliance: manifest-driven data retention enforcement across heterogeneous stores (RDS, DynamoDB, S3, OpenSearch), per-org retention policies, and audit trails\nPerformance & cost engineering: RDS reader/writer routing, query optimization, OpenSearch shard/index tuning, and AWS cost optimization across Lambda, DynamoDB, and S3\nHow the Team works\nSprint-based delivery with daily standups, ticket triage, and design sessions\nRemote-first with structured collaboration; AI-assisted development actively encouraged\nSmall senior team where your work ships to production and directly affects customers\nWhat we’re looking for\nEssential:\n5+ years in data engineering or backend engineering with heavy data focus\nStrong Python; production experience with AWS Lambda and serverless patterns\nDeep SQL and relational database skills (PostgreSQL/MySQL) - query optimization, partitioning, locking behavior\nHands-on with at least several of: Kinesis (or Kafka), Airflow, Flink, EMR/Spark, DynamoDB, OpenSearch/Elasticsearch\nExperience debugging data quality issues in production and building validation/monitoring to prevent recurrence\nComfortable owning ambiguous problems end-to-end: writing design docs, scoping tickets, and driving to deployment\nNice to have:\nGrafana/CloudWatch observability tooling; Athena federated queries\nData retention, GDPR/compliance-driven data lifecycle work\nExposure to LLM/GenAI tooling (RAG, knowledge bases, eval frameworks like LangFuse)\nTelematics, IoT, or high-volume time-series data domains\nAWS cost optimization experience (reserved capacity, instance right-sizing)\nWhy join CameraMatics?\nA genuinely impactful role, building the data platform behind products that help fleet operators improve safety, efficiency and compliance.\n\nA collaborative, ambitious team, working alongside a small, senior engineering team where ideas are encouraged, collaboration is valued and AI-assisted development is embraced.\n\nThe 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.\n\nThe 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.\n\nGrow with a scaling global business as our products, customers and markets continue to expand.","description_format":"text","description_chars":3791,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Portugal","iso":"PT","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Transportation & Logistics","Fleet Management","Office Management"],"lifecycle":[{"event":"open","at":"2026-09-22T05:31:40Z"}],"liveness":{"score":70,"band":"hot","label":"Hiring now","p_open":0.9,"p_active":0.783,"p_room":1,"age_days":10,"expected_fill_days":41,"reasons":["conf:74","win:early"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/cameramatics-senior-cloud-data-engineer-remote","json_url":"https://alion.io/job/cameramatics-senior-cloud-data-engineer-remote.json","meta":{"generated_at":"2026-10-03T01:04:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":897,"day_limit":5000,"remaining_today":4103,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}