Senior Data Engineer

Allstate; Oregon; Hybrid; USD 80.000 - 137.000; Vollzeit

Zusammenfassung

Allstate is seeking a Senior Data Engineer in Oregon to design, build, and own scalable data products and pipelines using Microsoft Fabric and modern engineering practices. You will partner with product managers, software engineers, and data analysts to deliver reliable data for digital products and analytics.

You will be accountable for end-to-end lifecycle of data products, including design, implementation, production support, data quality, and performance against key metrics.

Qualifikationen

• Strong proficiency in developing scalable data pipelines using PySpark and Python.
• Experience with modern data engineering frameworks and tools including Spark, Kafka, Flink, dbt or equivalent.
• Strong knowledge of SQL, NoSQL databases, data modeling, and data architecture principles.
• Demonstrated ability to optimize SQL queries, data pipelines, and storage for performance and cost efficiency.
• Experience designing and developing batch and/or real-time streaming data solutions.
• Hands-on experience with Microsoft Fabric Notebooks for developing, debugging, testing, and operationalizing data engineering workflows.
• Experience with containerization and orchestration technologies, such as Docker and Kubernetes.
• Experience implementing monitoring and observability solutions, with Datadog preferred.

Aufgaben

• Design, develop, and enhance scalable data pipelines and data processing systems.
• Build reusable ingestion, transformation, and storage patterns to support product and analytical needs.
• Integrate data from diverse sources including APIs, databases, event streams, and third-party systems.
• Implement data models and schemas that create unified, consistent views of business operations.
• Apply modern engineering practices, including version control, testing, CI/CD, and automated deployments.
• Ensure data quality, integrity, and reliability through validation, monitoring, and observability tools.
• Collaborate with product managers, engineers, and analysts to understand data requirements.
• Participate in iteration planning and product ceremonies as an active team member.

Kenntnisse

PySpark

Python

Apache Spark

Kafka

Flink

dbt

SQL

NoSQL

Data modeling

Data architecture

Data pipelines

Docker

Kubernetes

Datadog

Fabric Notebooks

CI/CD

Git

Tools

Docker

Kubernetes

Datadog

GitHub Actions

Jenkins

Azure

AWS

Fabric components

Jobbeschreibung

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Job Description Design, build, and own scalable data products and pipelines using Microsoft Fabric and modern data engineering practices, ensuring reliability, performance, governance, and effective delivery of trusted data for digital products and analytics.

As a Senior Data Engineer, you will design, build, and support high-quality data solutions and pipelines using modern engineering practices and tools. In this role, you will partner closely with product managers, software engineers, and data analysts to deliver scalable, reliable data capabilities that power digital products and business insights. You will be accountable for the end-to-end lifecycle of your data products, from design and implementation through production support, data quality, and performance against key metrics.

Key Responsibilities:

• Design, develop, and enhance scalable data pipelines and data processing systems.
• Build reusable ingestion, transformation, and storage patterns to support product and analytical needs.
• Integrate data from diverse sources including APIs, databases, event streams, and third-party systems.
• Implement data models and schemas that create unified, consistent views of business operations.

Engineering Excellence

• Apply modern engineering practices, including version control, testing, CI/CD, and automated deployments.
• Ensure data quality, integrity, and reliability through validation, monitoring, and observability tools.
• Optimize data workflows for performance, cost efficiency, and operational resilience.
• Document data flows, lineage, and technical components in support of transparency and maintainability.

Product Collaboration & Delivery

• Collaborate closely with product managers, engineers, and analysts to understand data requirements.
• Participate in iteration planning, ensuring shared understanding of backlog items and technical needs.
• Engage in daily standups, retrospectives, and product ceremonies as an active member of the team.

Governance, Standards & Continuous Improvement

• Contribute to data governance practices such as metadata management and data lineage.
• Ensure compliance with data privacy, security, and regulatory requirements.
• Evaluate new technologies, frameworks, and patterns to improve data infrastructure and engineering capabilities.
• Share knowledge and mentor less experienced engineers, contributing to team growth and best practices.

Core Skills

• Strong proficiency in developing scalable data pipelines using PySpark and Python.
• Hands-on experience with modern data engineering frameworks and tools, including Apache Spark, Kafka, Flink, dbt, or equivalent technologies.
• Strong knowledge of SQL, NoSQL databases, data modeling, and data architecture principles.
• Demonstrated ability to optimize SQL queries, data pipelines, and storage for performance, scalability, and cost efficiency.
• Experience designing and developing batch and/or real-time streaming data solutions.
• Hands-on experience with Microsoft Fabric Notebooks for developing, debugging, testing, and operationalizing data engineering workflows.
• Experience with containerization and orchestration technologies, such as Docker and Kubernetes.
• Experience implementing monitoring and observability solutions, with Datadog experience preferred.
• Ability to work effectively in collaborative, iterative, and product-centric engineering environments.
• Strong communication, analytical, troubleshooting, and problem-solving skills

Preferred Skills

• Experience with cloud data services (Azure, AWS).
• Hands-on experience with Microsoft Fabric components, including Lakehouse, Warehouse, Data Pipelines, Dataflows Gen2, and Semantic Models.
• Familiarity with CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps, etc.).
• Performance tuning for data pipelines, databases, and queries.
• Familiarity with generative and agentic AI tools to improve engineering productivity.

Compensation

Compensation offered for this role is 80,000.00 - 136,625.00 annually and is based on experience and qualifications.

Background Investigation

The candidate(s) offered this position will be required to submit to a background investigation.

About Our Team

Joining our team isn't just a job — it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger - a winning team making a meaningful impact.

Fair Chance Ordinance and EEO

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

For jobs in San Francisco, please click " here " for information regarding the San Francisco Fair Chance Ordinance.

For jobs in Los Angeles, please click " here " for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.

To view the "EEO Know Your Rights" poster click " here ". This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.

To view the FMLA poster, click " here ". This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

Technology & Remote Work

Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.

When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.

To help create a more personal and engaging experience, we ask that you join with your camera on if your interview is virtual. Please also have a Valid Photo Identification available at the start of your interview. If you require any accommodations or have questions ahead of your interview please reach out to your recruiter. Note: Internal candidates are only asked to join on video; a Valid Photo Identification is not needed for the interview.

LinkedIn Marker

#LI-TE1Skills Data Engineering, Microsoft Azure, Python (Programming Language), Structured Query Language (SQL)