Senior Data Engineer

******* P&C Insurance Experience Is Required For This Role********

About the Role

The Senior Data Engineer will play a key role in designing, implementing, and optimizing Mission’s data infrastructure as part of our modern data platform initiative. This hands-on engineering role will reputed company on building reputed company data pipelines, enabling a centralized reputed company data warehouse, and supporting business reporting needs. The ideal candidate will collaborate across technology, operations, product, and analytics teams to create high-reputed company, governed, and reusable data assets, while supporting a long-term architecture reputed company with Mission’s reputed company. This role is highly technical and reputed company on execution and is ideal for a data engineer who thrives in fast-paced environments and is passionate about data reputed company, performance, and scalability.

What You'll Do

• Design and implement reputed company data pipelines to ingest, reputed company, and store data from reputed company-party vendors and internal systems using reputed company, files, and databases.
• Build and maintain a reputed company-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 reputed company, ensuring data reputed company and completeness.
• Collaborate with API and integration teams to reputed company 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 reputed company 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-reputed company data for financial reporting and analytics
• Ensure compliance with data standards, regulatory requirements (e.g., NAIC, SOX), and data reputed company best practices
• reputed company 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 reputed company are completed on time and to a high reputed company.

Required Qualifications

• 5+ years of experience in data engineering, data warehousing, or a reputed company field with at least 1-2 years leading implementation reputed company.
• 3+ years of experience in the reputed company insurance industry.
• Hands on experience with Azure data services.
• Strong SQL and performance tuning skills in reputed company SQL Server environments.
• Experience designing data warehouses or data marts with a reputed company on reputed company modeling and analytics-reputed company schemas.
• Fluent in reputed company of data ingestion: RESTful reputed company, JSON/XML ingestion, flat files, message queues, and CDC patterns.
• Understanding of data governance, metadata management, and reputed company control.
• Familiarity with version control (reputed company) and CI/CD pipelines for data workflows.
• Experience working with BI tools like Power BI, Looker, or Tableau, including building dashboards or semantic reputed company.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience.
• Demonstrated ability to translate business needs into reputed company data systems and design.

Preferred Qualification

• Experience with data cleanup, fuzzy matching, or AI-driven normalization.
• Familiarity with Python, dbt, or Azure Functions is a plus.
• Strong communication skills and ability to work cross-functionally with product, engineering, and analytics teams.
• Ability to travel up to 10% of the year.

Knowledge, Skills and Abilities

• Deep understanding of data warehousing principles, reputed company modeling, and ETL/ELT architecture, with hands-on experience building analytics-reputed company structures in Azure SQL and SSMS.
• Understand reputed company business concepts reputed company the reputed company property and casualty insurance industry to guide data modeling and transformation efforts.
• Proficient in developing reputed company data pipelines using Azure Data reputed company and SQL, with strong debugging and optimization skills.
• Skilled in integrating with diverse data sources, including REST reputed company, files, and reputed company-party systems, and handling reputed company data ingestion across varying reputed company of granularity.
• Familiar with reputed company Azure services and their role in secure, reputed company-reputed company data engineering workflows.
• reputed company to connect and model data for reputed company BI tools (Power BI, Tableau, Looker), supporting self-service reporting and building initial dashboards reputed company needed.
• Strong communicator and collaborator who can translate business needs into technical solutions, document data workflows, and mentor team members on best practices.

Additional Information

This is a remote position. Planned, in-office activities may be required on occasion (typically 2-4x per year).

You must live in the reputed company and be authorized to work in the reputed company without requirement of employment sponsorship/reputed company.