Senior Data Engineer

ReCharge
Anywhere
Workplace: RemoteFull timeUSD 148,000 - 185,000 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Stakeholder communication","Data quality focus","Ownership","Empathy","Continuous improvement"]

Build scalable data pipelines, ELT infrastructure, and governed data interfaces that power both internal analytics and customer-facing data products. Design dimensional models and data warehouse/lake ingestion from multiple sources, with strong data quality through monitoring, auditing, and alerting. Partner with business and application teams to implement data strategies, modernize data processes using AI/LLM-assisted development, and deliver trusted metrics via semantic layers and MCP-based integrations.

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FursaFursa
ReCharge
ReCharge
2 days ago

Senior Data Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 49 minutes agoStatus: Live
Reposted: similar role first listed 4 months ago

Job Summary

Build scalable data pipelines, ELT infrastructure, and governed data interfaces that power both internal analytics and customer-facing data products. Design dimensional models and data warehouse/lake ingestion from multiple sources, with strong data quality through monitoring, auditing, and alerting. Partner with business and application teams to implement data strategies, modernize data processes using AI/LLM-assisted development, and deliver trusted metrics via semantic layers and MCP-based integrations.
Location: Anywhere
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Build data pipeline, ELT, and infrastructure solutions for internal analytics/science and external customer-facing data products.
  • •Create automated monitoring, auditing, and alerting processes to ensure data quality and consistency.
  • •Partner with business and application/solution teams to implement data strategies and develop conceptual/logical/physical data models.
  • •Deliver trusted data and metrics via AI/LLM tools (e.g., Claude), including a governed semantic layer and MCP-based interfaces.
  • •Continuously improve data warehouse operations by redesigning and optimizing data processes, using AI to improve productivity and data quality.

Pay and Benefits

Salary: USD 148,000 - 185,000 annually
Perks:Health InsuranceDentalVisionRetirementPaid LeaveRemote Work

Key Requirements

  • •5+ years in a data engineering role building scalable data pipeline, transformation, and platform solutions.
  • •3+ years hands-on designing and building pipelines and models for large-scale data ingestion, transformation, and delivery to dimensional (Star Schema) data warehouses and data lakes.
  • •Experience with data warehouse/lake/enterprise data management platforms including Snowflake, BigQuery, MySQL, Postgres, RDS, AWS, and GCP.
  • •Experience building pipelines/models/infrastructure for external, customer-facing analytics applications (in addition to internal analytics).
  • •Strong SQL and Python proficiency, plus knowledge of data warehousing methodologies (Kimball/Inmon) and ETL/orchestration tools (e.g., FiveTran, dbt, Airflow, Cloud Composer).
Experience:5+ yearsE-commerceSubscription commerceData platformsData warehousing
Skills:Stakeholder communicationData quality focusOwnershipEmpathyContinuous improvement
Tech Stack:SQLPythonELTSnowflakeBigQueryMySQLPostgresRDSAWSGCPDimensional (Star Schema)Data WarehouseData LakeKimballInmonFiveTranDbtAirflowCloud ComposerKubernetes

Company Brief

ReCharge
Provides subscription billing and management solutions for online merchants, enabling recurring payments, customer retention, and subscription commerce tools for e-commerce platforms and direct-to-consumer brands.
Industry: Payments
Headquarters: Montreal, Canada
Founded: 2014
Website