Lead Data Engineer overseeing engineers and advancing the data platform at American Family Insurance. Creating tools and infrastructure to empower teams across the company.
About the role
- Senior Data Engineer responsible for managing full data lifecycle with focus on innovation at Enroute. Engaging in challenges and contributing to a happy workplace culture.
Responsibilities
- We love technology, and we enjoy what we do.
- We are always looking for innovation.
- We have social awareness and try to improve it daily.
- We make things happen.
- You can trust us.
- Our Enrouters are always up for a challenge.
- We ask questions, and we love to learn.
- We pride ourselves on having great benefits and compensations.
- We care about who you are in the office and as an individual.
- We want every Enrouter to become part of a great community of highly driven, responsible, respectful, and happy people.
Requirements
- 5+ years of professional experience in a dedicated Data Engineering role, with significant experience managing the full data lifecycle.
- Expert-level proficiency in SQL and experience working with large-scale relational and non-relational databases.
- Deep hands-on experience with a major cloud data warehouse platform (e.g., Snowflake, AWS Redshift, Google BigQuery, or Azure Synapse Analytics).
- Solid experience developing and maintaining production-grade ETL/ELT pipelines using tools like Apache Airflow, Apache NiFi, Talend, Informatica, or AWS Glue
- Experience using Python for data manipulation (e.g., Pandas, PySpark).
- Solid understanding and use of reporting tools like Power BI, Cognos, Tableau, Looker, BusinessObjects, or Oracle BI
- Familiarity with data governance concepts (e.g., metadata management, data lineage) and implementing security best practices.
- Excellent communication and collaboration skills, with the ability to translate complex technical concepts to non-technical stakeholders.
- Experience with real-time/streaming data processing technologies (e.g., Apache Kafka, Kinesis, Spark Streaming).
- Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
- A background in data science tooling or supporting machine learning pipelines.
- Experience in DevOps practices for data infrastructure (CI/CD, monitoring, logging).
Benefits
- Monetary compensation
- Year-end Bonus
- IMSS, AFORE, INFONAVIT
- Major Medical Expenses Insurance
- Minor Medical Expenses Insurance
- Life Insurance
- Funeral Expenses Insurance
- Preferential rates for car insurance
- TDU Membership
- Holidays and Vacations
- Sick days
- Bereavement days
- Civil Marriage days
- Maternity & Paternity leave
- English and Spanish classes
- Performance Management Framework
- Certifications
- TALISIS Agreement: Discounts at ADVENIO, Harmon Hall, U-ERRE, UNID
- Taquitos Rewards
- Amazon Gift Card on your Birthday
- Work-from-home Bonus
- Laptop Policy
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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