HCV Underwriting Managers

Senior Data Engineer

HCV Underwriting Managers

full-time

Posted on:

Location Type: Hybrid

Location: United States

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Job Level

Senior

Tech Stack

AzureCloudMS SQL ServerSQLTableau

About the role

  • Design and implement scalable data pipelines to ingest, transform, and store data from third-party vendors and internal systems using APIs, files, and databases.
  • Build and maintain a cloud-based data warehouse solution in partnership with architects, ensuring clean, normalized, and performant data models.
  • Establish and monitor reliable data ingestion processes across systems with varying grain and cadence, ensuring data quality and completeness.
  • Collaborate with API and integration teams to develop secure, robust data exchange processes with external vendors and internal services.
  • Set up and manage data connections from the warehouse to BI tools (e.g., Power BI, Looker, Tableau) to enable self-service analytics and dashboarding.
  • Document data flows, schemas, and definitions, and help drive data governance and standardization efforts across the organization.
  • Implement data validation, cleansing, and enrichment processes to ensure high-quality data for financial reporting and analytics.
  • Ensure compliance with data standards, regulatory requirements (e.g., NAIC, SOX), and data security best practices.
  • Provide technical leadership in data engineering best practices, including version control, CI/CD for data pipelines, testing, and observability.
  • Build initial dashboards in BI tools.
  • Give directions to data engineers to ensure that projects are completed on time and to a high standard.

Requirements

  • 5+ years of experience in data engineering, data warehousing, or a related field with at least 1-2 years leading implementation projects.
  • 3+ years of experience in the commercial insurance industry.
  • Hands on experience with Azure data services.
  • Strong SQL and performance tuning skills in Microsoft SQL Server environments.
  • Experience designing data warehouses or data marts with a focus on dimensional modeling and analytics-ready schemas.
  • Fluent in range of data ingestion: RESTful APIs, JSON/XML ingestion, flat files, message queues, and CDC patterns.
  • Understanding of data governance, metadata management, and access control.
  • Familiarity with version control (GitLab) and CI/CD pipelines for data workflows.
  • Experience working with BI tools like Power BI, Looker, or Tableau, including building dashboards or semantic layers.
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience.
  • Demonstrated ability to translate business needs into scalable data systems and design.
Benefits
  • Remote First Work Environment (US Based)
  • Medical, Dental, Vision
  • 401K, 401K Match
  • Life and Disability Benefits
  • Unaccrued Paid Time Off
  • 11 Paid Holidays
  • Employee Discounts
  • Employee Assistance Program
  • Educational Assistance Program
  • Employee Referral Program
  • Paid Parental Leave
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringdata warehousingSQLperformance tuningdimensional modelingdata ingestiondata validationdata cleansingdata governancemetadata management
Soft Skills
technical leadershipcollaborationproject managementcommunicationdirection giving
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in Information Systems