Allianz

3 weeks ago

Senior Data Engineer - AI & Analytics Platform - Hybrid (Minneapolis, MN, US, 55416)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Senior data engineer responsible for building and maintaining data pipelines on the Azure/Databricks platform, enabling AI and analytics capabilities. You will own data ingestion, architecture, and platform reliability, collaborating with IT, data science, analytics engineering, and vendor teams to deliver scalable, observable data solutions with strong security and performance.

Location: Minneapolis

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Develop, deploy, and maintain platform components, including data connections, data pipelines, Databricks Lakeflow jobs, related GitHub Actions and Databricks Declarative Automation Bundle (DABs) pipelines, and various monitoring frameworks.
•Create and maintain data engineering templated project repositories enabled and simplified for the internal platform team with custom CLI. Create/manage Databricks DAB Infrastructure as Code repositories as needed.
•Ensure high availability, performance, and observability of data pipelines and data quality & cost monitoring through proactive monitoring and incident response.
•Maintain team documentation for the internal platform and for external business users of the platform (i.e. developers).
•Mentor junior data engineers within the internal team, including reviewing PRs and ensuring code quality are standardized and rigorously reviewed on a platform level.

Pay and Benefits

Salary: USD 110,000 - 151,000 annually

Perks:Health InsuranceVision401kPaid LeaveLife Insurance

Key Requirements

•6+ years of experience in a combination of Data Engineering, DevOps, and App Development roles
•Experience configuring and maintaining Databricks Workspaces, ACLs, and other Workspace artifacts
•Experience with Databricks (Lakehouse architecture, Spark, Unity Catalog, Delta tables)
•Experience with DevOps, and SDLC practices in a regulated enterprise environment
•Experience creating GitHub Actions Workflows for code promotion across environments

Experience:6+ yearsDatabricksAzureLakehouseDevOpsData Engineering

Skills:MentoringCollaborationCommunication

Languages:English

Tech Stack:AzureDatabricksSparkUnity CatalogDelta tablesGitHub ActionsPySparkLakeflowDAB

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Allianz

Global insurance and financial services group offering property-casualty insurance, life and health insurance, asset management, and corporate risk solutions to individuals, businesses, and institutions across more than 70 countries.

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Munich, Germany

Founded: 1890

Website LinkedIn

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Allianz

3 weeks ago

Senior Data Engineer - AI & Analytics Platform - Hybrid (Minneapolis, MN, US, 55416)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Minneapolis

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Develop, deploy, and maintain platform components, including data connections, data pipelines, Databricks Lakeflow jobs, related GitHub Actions and Databricks Declarative Automation Bundle (DABs) pipelines, and various monitoring frameworks.
•Create and maintain data engineering templated project repositories enabled and simplified for the internal platform team with custom CLI. Create/manage Databricks DAB Infrastructure as Code repositories as needed.
•Ensure high availability, performance, and observability of data pipelines and data quality & cost monitoring through proactive monitoring and incident response.
•Maintain team documentation for the internal platform and for external business users of the platform (i.e. developers).
•Mentor junior data engineers within the internal team, including reviewing PRs and ensuring code quality are standardized and rigorously reviewed on a platform level.

Pay and Benefits

Salary: USD 110,000 - 151,000 annually

Perks:Health InsuranceVision401kPaid LeaveLife Insurance

Key Requirements

•6+ years of experience in a combination of Data Engineering, DevOps, and App Development roles
•Experience configuring and maintaining Databricks Workspaces, ACLs, and other Workspace artifacts
•Experience with Databricks (Lakehouse architecture, Spark, Unity Catalog, Delta tables)
•Experience with DevOps, and SDLC practices in a regulated enterprise environment
•Experience creating GitHub Actions Workflows for code promotion across environments

Experience:6+ yearsDatabricksAzureLakehouseDevOpsData Engineering

Skills:MentoringCollaborationCommunication

Languages:English

Tech Stack:AzureDatabricksSparkUnity CatalogDelta tablesGitHub ActionsPySparkLakeflowDAB

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Allianz

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Munich, Germany

Founded: 1890

Website LinkedIn