Senior Data Engineer

Kin
United States
Workplace: RemoteFull timeUSD 131,950 - 153,026 annuallyFunction: Solutions Engineering & Sales EngineeringSkills: ["Communication","Mentoring","Stakeholder management","Ownership"]

Build and evolve lakehouse architecture that turns raw, complex data into trusted, well-modeled datasets for enterprise reporting. Own production-grade data pipelines and modeling layers that teams across Finance, Marketing, and Product rely on. Implement data validation, testing, and QA, partner with App Engineering on source modeling, and ensure security and privacy compliance. Mentor other data engineers and use AI-assisted tools to improve efficiency, code quality, and observability.

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FursaFursa
Kin
Kin
6 days ago

Senior Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live
Reposted: similar role first listed 8 months ago

Job Summary

Build and evolve lakehouse architecture that turns raw, complex data into trusted, well-modeled datasets for enterprise reporting. Own production-grade data pipelines and modeling layers that teams across Finance, Marketing, and Product rely on. Implement data validation, testing, and QA, partner with App Engineering on source modeling, and ensure security and privacy compliance. Mentor other data engineers and use AI-assisted tools to improve efficiency, code quality, and observability.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and build scalable, production-grade data pipelines and data models for downstream analytics and enterprise reporting.
  • •Implement and enforce data validation, testing, and QA standards across data models to ensure accuracy and reliability.
  • •Partner with App Engineering to understand source systems and define how raw data should be captured and modeled downstream.
  • •Collaborate with Analytics Engineering, BI, and business stakeholders to translate reporting needs into scalable, well-modeled datasets.
  • •Ensure data models comply with data security and privacy regulations through access controls and monitoring.

Pay and Benefits

Salary: USD 131,950 - 153,026 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kLife InsurancePaid LeaveParental LeaveHsa Contributions

Key Requirements

  • •4+ years of experience in data engineering, analytics engineering, or dimensional modeling, building production data models.
  • •Advanced SQL skills for transforming data from multiple sources into a scalable warehouse/lakehouse.
  • •Proficiency in Python (e.g., Pandas, NumPy) for data transformation and pipeline development.
  • •Expertise in dimensional modeling, ELT workflows, and modern data architecture patterns.
  • •Experience with Databricks, Snowflake, or Redshift.
Experience:InsurtechAnalytics engineeringDimensional modeling
Skills:CommunicationMentoringStakeholder managementOwnership
Tech Stack:SQLPythonPandasNumPyDatabricksSnowflakeRedshiftELTLakehouse

Company Brief

Kin
Direct-to-consumer digital home insurance provider using property data and a technology platform to price, underwrite, and service homeowners' policies across multiple U.S. states.
Industry: InsurTech
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: Chicago, United States
Founded: 2016
Glassdoor
Glassdoor: 3.3
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