Log inSign up free
  • Home
  • Profile
  • Jobs
    • Applications
    • Career
    • Resume
    • Cover letters
  • Content
    • Posts
    • Media
  • Messages
  • Analytics
    • Overview
    • Pages
  • Portfolio
  • More tools
    • Hiring
  • Settings
All jobs
MGMgic logo

Mgic

US WI Milwaukee Home Office, United States of America

Senior Data Engineer.

SENIOR LEVELDATA & ML$105.6K–179.5K/YR
At MGIC, we take pride in knowing that what we do matters. As pioneers of private mortgage insurance, we help people achieve homeownership sooner - making affordable low-down-payment mortgages a reality. Our efforts have helped more than 14 million people get the keys to their own homes sooner than otherwise possible. Every position is critical to our company's success - from the analytical to the technical; from the innovative to the operational. The customer-facing roles to behind-the-scenes experts, we're all part of one team. We're an organization with a national footprint that's large enough to never lack for a new challenge, but small enough for an opportunity to make an impact and influence decisions. Come make a difference at MGIC. Summary: We’re building great things at MGIC, and we are excited to be offering this position. This is an opportunity help us create the next generation data platform. Becoming Data-driven is at the core of our transformation – join us and help us build the future! We are looking for a Senior Data Engineer who is passionate about building trusted, scalable data products with modern cloud technologies. As part of the Data & Analytics team, you will design and deliver a Snowflake-centered data platform, automate source-to-warehouse ingestion with Fivetran, develop analytics-ready transformations with dbt, and orchestrate production workflows with Astronomer and Apache Airflow. Responsibilities: Define and evolve data integration frameworks, engineering standards, reusable patterns, and governance practices for a modern cloud data platform. Design scalable Snowflake data architectures, including databases, schemas, tables, views, virtual warehouses, role-based access, and approaches for performance and cost optimization. Build and operate reliable batch and incremental ingestion pipelines using Fivetran connectors, including source configuration, schema-change handling, sync monitoring, troubleshooting, and custom connector patterns when needed. Develop modular, maintainable dbt models in Snowflake; implement source definitions, tests, documentation, lineage, incremental strategies, and reusable macros. Author, schedule, deploy, and monitor data workflows with Apache Airflow on Astronomer, applying effective dependency management, retry, alerting, backfill, and failure-recovery practices. Implement observability and data-quality controls across ingestion, orchestration, and transformation layers so production data is accurate, timely, and available to stakeholders. Partner with business, analytics, architecture, security, and engineering teams to translate requirements into durable data products and a long-term platform roadmap. Deliver changes through Git-based development, automated testing, code review, and CI/CD practices across dbt and Airflow projects. Troubleshoot data and pipeline issues across source systems, Fivetran, Astronomer, dbt, Snowflake, and downstream consumption layers. Evaluate Cortex Code capabilities and lead the development of a practical adoption plan for incorporating AI-assisted engineering into solution delivery processes, including prioritized use cases, governance and security guardrails, developer workflows, enablement, success measures, and a phased rollout. Lead design and code reviews, share engineering best practices, and mentor junior data engineers. Required skills: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or relevant experience. 5 or more years of data engineering experience, including cloud data warehousing, dimensional data modeling, ETL/ELT, analytics enablement, and production pipeline support. Hands-on Snowflake experience, including advanced SQL, data loading and transformation, virtual warehouse sizing, query optimization, access controls, and cost-conscious platform operation. Experience building production-grade dbt projects with modular models, tests, documentation, source freshness, incremental models, macros, packages, and CI/CD. Experience developing and operating Apache Airflow DAGs; familiarity with Astronomer or another managed Airflow platform, including deployment, monitoring, alerting, and troubleshooting. Experience implementing and supporting managed ELT with Fivetran, including connector setup, incremental synchronization, schema evolution, monitoring, and issue resolution. Strong Python and SQL skills; experience with APIs, data formats, shell scripting, and Git-based development workflows. Experience with AWS services such as S3, Lambda, IAM, and related cloud data services, plus Agile delivery and end-to-end automation practices. Knowledge of Cortex Code and AI-assisted software development practices, or demonstrated willingness and ability to build a responsible adoption plan that integrates the technology into solution delivery processes while maintaining security, governance, code-review, testing, and change-management standards. Strong communication, problem-solving, and collaboration skills, with the ability to influence technical decisions and mentor other engineers. Pay Range: $105,590.00 - $179,510.00 This range aligns with current market data and reflects our commitment to competitive and equitable compensation. Salary offers are based on factors such as experience, skills, education, and training. The range may vary in certain locations to reflect local market conditions. It is not typical to initiate pay at the top of the range to account for internal equity and allow for future and continued salary growth Enjoy these benefits from day one: • Competitive Salary & pay-for-performance bonus • Financial Benefits (401k with company match, profit sharing, HSA, wellness program) • On-site Fitness Center and classes (corporate office) • Paid-time off and paid company holidays • Business casual dress For additional information about MGIC and to apply, please visit our website at www.mgic.com/careers. Note to all recruitment agencies: MGIC does not accept unsolicited agency resumes. Any unsolicited resumes sent to MGIC, directly or indirectly, will be considered MGIC property. MGIC is not responsible for any agency fees associated with unsolicited resumes. A recruiting agency must have a valid, written and fully executed agency agreement to assist with a requisition. Founded in 1957 and based in Milwaukee, WI, MGIC pioneered the modern form of private mortgage insurance. Today, we remain committed to helping people achieve homeownership sooner by making affordable low-down-payment mortgages a reality. We pride ourselves on providing a meaningful and rewarding experience for our co-workers, who are the cornerstone of our company and the work we do, both within our walls and in our communities Nearly 600 employees contribute to our mission. Approximately half of our team works together at our downtown Milwaukee headquarters, while the rest of our team -- as well as our customers and the consumers who benefit from our product – are located all over the country. Our Milwaukee team members enjoy a hybrid environment with opportunities to connect and collaborate with colleagues in the office 3 days a week, while maintaining a flexible approach to the modern workweek.  Our HQ offers free parking, the Plaza View Café for breakfast and lunch, 24/7 fitness center access and onsite group fitness classes 3 days a week. We offer a comprehensive benefits package that considers the physical, mental and financial aspects of employee health and wellbeing. In addition to comprehensive medical, vision and dental coverage, we are proud to offer a company-matching 401(k) savings plan, profit sharing, and an annual bonus program to all eligible co-workers. Every employee has different needs, and our benefits – including parental, caregiver and bereavement leave – are designed to meet you at all stages of life, no matter which stage you’re in today. Giving back to the community is engrained in MGIC’s culture. Our Giving Back, Together program offers employees 4 paid volunteer hours, company-organized volunteer opportunities, and an employee-driven community grant program. Join our team and come make a difference at MGIC! We are an Equal Employment Opportunity (EEO) employer
Pay
$105.6k–179.5k/yr
Where
US WI Milwaukee Home Office, United States of America
Work
Not stated
Type
Not stated
Posted
5 Aug, 2026
Apply on the original postingSign in to apply

Unverified board

more at Mgic.

1 Jul, 2026

Mgic

On-Call Security Guard

MGMgic logo
  • Security

$22–36/yr

US WI Milwaukee Home Office, United States of America

Details
21 Jul, 2026

Mgic

Senior Customer Trainer

MGMgic logo
  • Senior level

$88k–149.6k/yr

US WI Milwaukee Home Office, United States of America

Details
8 Sep, 2026

Mgic

Senior Business Analyst

MGMgic logo
  • Senior level

US WI Milwaukee Home Office, United States of America

Salary not listed

Details

similar roles.

25 Oct, 2026

Zillow

Marketing Technologist, Customer Data Platform

ZIZillow logo
  • Data & ML

Bengaluru

Salary not listed

Details
25 Oct, 2026

Zillow

Applied Scientist

ZIZillow logo
  • Data & ML

Bengaluru

Salary not listed

Details
23 Oct, 2026

Genpt

Panel Builder II

GEGenpt logo
  • Full time
  • Remote
  • Data & ML

$27–35/hr

USA MOT AI Eden Prairie MN72, United States of America

Details
15 Sep, 2026

Risd

Director, Prospect Intelligence

RIRisd logo
  • Leadership
  • Data & ML

Providence, United States of America

Salary not listed

Details
14 Aug, 2026

Spinmaster

Senior Data Scientist

SPSpinmaster logo
  • Senior level
  • Data & ML

$100k–115k/yr

Toronto - Sago Mini, Canada

Details
7 Oct, 2026

Spinmaster

Senior ML Platform Engineer

SPSpinmaster logo
  • Senior level
  • Remote
  • Data & ML

$166.1k–221.4k/yr

New York-Remote, United States of America

Details