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

highly skilled and hands-on Senior Data Engineer to design, build, optimize, and support scalable, reliable, and high-performing data platforms and pipelines. This role is focused on developing enterprise data solutions that enable analytics, reporting, AI/ML, and data-driven decision making across the organization.

The ideal candidate possesses strong expertise in modern data engineering practices, Apache Spark, cloud-based data platforms, and lakehouse architectures. As a senior individual contributor, the candidate will provide technical leadership, mentor junior engineers, drive engineering best practices, and contribute directly to the design and implementation of enterprise-scale data solutions.

The role requires close collaboration with Analytics Engineers, Data Scientists, Product Managers, Platform Engineers, Security teams, and business stakeholders to deliver trusted, scalable, and analytics-ready data products.

Key Responsibilities

• Design, develop, and maintain scalable batch and streaming data pipelines using Apache Spark, cloud-native technologies, and modern data platforms.
• Build and optimize ETL/ELT frameworks to ingest, transform, validate, and curate data from diverse enterprise source systems.
• Develop and implement data solutions leveraging Microsoft Fabric, OneLake, Lakehouse, Data Warehouse, and Semantic Model capabilities.
• Design data models, storage strategies, and data processing architectures that support enterprise analytics and reporting requirements.
• Partner with Analytics Engineers, BI teams, Data Scientists, and business stakeholders to deliver trusted, reusable, and analytics-ready datasets.
• Drive adoption of engineering best practices including code quality, peer reviews, automated testing, CI/CD, and documentation standards.
• Ensure data quality, governance, lineage, metadata management, security, privacy, and compliance requirements are incorporated into data solutions.
• Monitor and optimize performance, scalability, reliability, and cost efficiency of distributed data processing workloads.
• Develop reusable frameworks, libraries, templates, and engineering patterns that improve development productivity and consistency.
• Implement and support CI/CD pipelines, Infrastructure-as-Code principles, and deployment automation for data engineering solutions.
• Troubleshoot complex data integration, performance, and operational issues across platforms and pipelines.
• Collaborate with platform, infrastructure, architecture, and security teams to build resilient, scalable, and secure enterprise data solutions.
• Create and maintain technical documentation, architecture diagrams, operational runbooks, and implementation guides.
• Participate in technical design sessions, architecture reviews, and engineering discussions while providing recommendations and solutions.
• Mentor and guide junior and mid-level data engineers through technical coaching, code reviews, design reviews, and knowledge sharing.
• Evaluate and adopt emerging technologies, engineering practices, and AI-assisted development capabilities to improve delivery velocity and quality.
• Support production operations through monitoring, root cause analysis, incident resolution, and continuous improvement initiatives.
• Contribute to Agile delivery processes including sprint planning, estimation, backlog refinement, and execution of engineering commitments.
• Promote DataOps practices, automation, observability, and engineering excellence across development teams.
• Serve as a technical subject matter expert for modern data platforms, Spark processing, Microsoft Fabric, and lakehouse architectures.

Required Skills & Experience

• Strong experience in Data Engineering and Big Data technologies.
• Deep expertise in Apache Spark (PySpark/Spark SQL).
• Experience with Microsoft Fabric, OneLake, Lakehouse Architecture, Data Warehouse, and Semantic Models.
• Strong SQL and data modeling skills.
• Experience building and optimizing ETL/ELT pipelines.
• Knowledge of streaming and batch data processing patterns.
• Experience with CI/CD, Git-based development, testing, and deployment automation.
• Understanding of Data Governance, Data Quality, Security, and Privacy controls.
• Experience working in cloud-based analytics and data platform environments.
• Strong problem-solving, troubleshooting, and performance tuning capabilities.
• Ability to mentor junior engineers and provide technical leadership without direct people management responsibilities.
• Experience working in Agile delivery environments.

Education

• 4 year Bachelors Degree (Preferred)

Experience

• 2 or more years of experience (Preferred)

Supervisory Responsibilities

• This job does not have supervisory duties

Education & Experience (in lieu)

• In lieu of the above education requirements, an equivalent combination of education and experience may be considered

Primary Skills

Software Development

Shift Time

Recruiter Info

Shriya Kumari

[email protected]

About Allstate

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.

The Allstate Corporation is one of the largest publicly held insurance providers in the United States. Ranked No. 84 in the 2023 Fortune 500 list of the largest United States corporations by total revenue, The Allstate Corporation owns and operates 18 companies in the United States, Canada, Northern Ireland, and India. Allstate India Private Limited, also known as Allstate India, is a subsidiary of The Allstate Corporation. The India talent center was set up in 2012 and operates under the corporation's Good Hands promise. As it innovates operations and technology, Allstate India has evolved beyond its technology functions to be the critical strategic business services arm of the corporation. With offices in Bengaluru and Pune, the company offers expertise to the parent organization’s business areas including technology and innovation, accounting and imaging services, policy administration, transformation solution design and support services, transformation of property liability service design, global operations and integration, and training and transition.

Learn more about Allstate India here.