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Quandri
Quandri
51 – 200 Darbuotojai
Dirbtinis intelektasDraudimasFintech
Quandri yra draudimo brokerių sektoriui skirta technologijų įmonė, teikianti „Renewal Intelligence Platform“. Asmens draudimo brokerių įmonėms sukurta platforma naudoja dirbtinį intelektą pasikartojančiam draudimo sutarčių atnaujinimo darbui automatizuoti, naudingoms įžvalgoms apie klientus išryškinti ir brokeriams padėti efektyviau valdyti savo draudimo portfelius. Quandri daugiausia dėmesio skiria atnaujinimo procesų gerinimui, klientų išlaikymo palaikymui ir geresniam brokerių komandų matomumui į jų veiklos duomenis. Įmonė bendradarbiauja su pagrindinėmis Kanados draudimo brokerių įmonėmis ir derina draudimo srities kompetenciją su dirbtiniu intelektu grindžiama programinės įrangos kūrimo veikla.
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Darbai įmonėje

Senior Data Engineer at Quandri (Vancouver Hybrid)

Lead Quandri’s Databricks data lake, production pipelines, and AI data infrastructure. Build the systems powering its AI platform for insurance agencies and brokerages.

CAKanada
140 000 $ – 170 000 $ / metai
HibridinisVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųDuomenų inžinierius
AirflowApacheAWSAzureDebesijaDynamoDBGoogle Cloud PlatformPostgresPythonSQLTableau

Aprašymas

  • Lead the full Databricks data lake lifecycle, including dbt models, medallion layers, incremental processing, backfills, partitioning, freshness, and quality monitoring.
  • Implement CDC and streaming ingestion from HubSpot, Langfuse, Postgres, and DynamoDB, with reliable idempotency and deduplication.
  • Own data services, schema and migration planning, versioned APIs, provenance, audit trails, testing, and observability.
  • Develop AI data foundations such as embedding pipelines, vector stores, retrieval knowledge bases, feature stores, and LLM observability.
  • Build and maintain cloud databases in partnership with the Infrastructure team.
  • Enhance data retrieval and improve the performance and usability of analytics dashboards.
  • Maintain policies governing data management and security.
  • Partner with software, AI/ML, and data engineers, data scientists, product teams, and business units to align technical requirements.
  • Explain technical concepts effectively to stakeholders without technical backgrounds.
  • Coach engineers on sound data engineering practices.

Reikalavimai

  • Bring 4–6 years of professional experience in data engineering.
  • Have a track record of building and maintaining databases, data pipelines, and backend systems, with emphasis on efficient data management and integrated system components.
  • Work proficiently in Python, preferred, and SQL.
  • Have designed multi-tenant data systems with strict isolation requirements and experience handling PII or other regulated information.
  • Understand data modeling, including medallion architecture, star schemas, or Snowflake schemas.
  • Have practical experience with cloud platforms such as AWS, Azure, or GCP.
  • Have used dbt, Databricks Workflows, Apache Airflow, Prefect, Dagster or comparable tools, change-data-capture systems, or AWS Step Functions.
  • Use data visualization platforms such as Databricks SQL dashboards, Tableau, or an equivalent Power BI capability.
  • Have experience developing or supporting AI products.
  • Understand and apply data governance practices.
  • Hold a bachelor’s or master’s degree in Computer Science, Data Engineering, Computer Engineering, or a related technical field, or offer equivalent experience; this is a bonus.

Privalumai

  • Receive employee stock options determined by experience level at hire and subject to the standard vesting schedule.
  • Receive employee stock options based on experience level.
  • Access comprehensive health coverage, including a $500 Lifestyle Spending Account.
  • Take four weeks of paid vacation each year.
  • Work from anywhere in the world for up to 60 calendar days annually.
  • Receive parental-leave top-ups of six months for birthing parents and eight weeks for non-birthing parents, for salaries up to $100,000 annually.

Susiję darbai

Tiger Analytics

Senior Financial Crime Compliance Business Analyst

Tiger Analytics
1 001 – 5 000 Darbuotojai
H1B vizos rėmėjasLogistikaRinkodaraSveikatos priežiūra
USJungtinės ValstijosILIlinojusHibridinisVisas etatasVyresnysis specialistasVadovasPrivaloma Kalba: anglųFinansiniai nusikaltimai
PythonSQL

Bridge financial-crime compliance teams and IT at Tiger Analytics, an advanced analytics consulting firm. Define AML requirements, data mappings, monitoring rules, and user acceptance testing scenarios.

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Vaya Health

Remote ETL Developer at Vaya Health

Vaya Health
501 – 1 000 Darbuotojai
DraudimasKonsultavimasLogistika
USJungtinės ValstijosFLFloridaMDMerilandasNCŠiaurės KarolinaSCPietų KarolinaTNTenesisVAVirdžinija
92 558 $ – 120 326 $ / metai
NuotolinisVisas etatasVidutinis lygisVyresnysis specialistasPrivaloma Kalba: anglųAnalitikos inžinierius
AzureDebesijaETLMS SQL ServerSQLSSIS

Build Azure, Fabric, Dataverse, and Lakehouse data pipelines for Vaya Partners’ Rural Health Transformation Program. Help deliver secure healthcare analytics and reporting.

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