Data Engineer (Remote, US)

Allstate Private Limited; United States; Remote; USD 100,000 - 171,000; Full time

Benefits offered by this job

Laptop provided

Connectivity reimbursement

Home office stipend

Job summary

Allstate seeks a Data Engineer to design and scale risk data pipelines and analytics-ready datasets. You will collaborate with analytics engineers, product teams, risk partners, and governance stakeholders to reduce manual reporting and enable dashboards and AI-ready capabilities.

The role emphasizes data quality, lineage, and automated testing within modern data lake/lakehouse environments, including Fabric/OneLake, with a strong focus on scalability and cost efficiency.

Qualifications

• 4+ years of experience building production-grade data pipelines and data products.
• Hands-on experience with Apache Spark for large-scale data processing.
• Strong proficiency in Python, SQL, and data engineering best practices.
• Experience developing ETL/ELT solutions within cloud-based data lakes or lakehouses.
• Experience designing analytical data models for reporting, dashboards, and advanced analytics.
• Familiarity with CI/CD pipelines, version control, automated testing, and IaC concepts.

Responsibilities

• Design, build, and maintain trusted risk data products and scalable pipelines.
• Integrate data from multiple sources into governed, analytics-ready datasets.
• Develop and optimize ETL/ELT workflows for ingestion, transformation, and delivery.
• Manage data processing workloads in modern data lake/lakehouse environments.
• Implement data quality, monitoring, lineage, and reconciliation processes.
• Create curated datasets and outputs to support dashboards and analytics.
• Optimize architectures for scalability, performance, resilience, and cost.
• Develop reusable frameworks, CI/CD pipelines, and automated testing.
• Collaborate with stakeholders to establish data definitions, metrics, and access controls.
• Participate in Agile delivery activities including sprint planning and reviews.

Skills

Apache Spark

Data Engineering

Data ETL

Python

SQL

CI/CD

Tools

Microsoft Fabric

OneLake

Job description

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

Allstate’s Risk Data Team is seeking a Data Engineer to help build the trusted data foundation that enables faster decisions, proactive risk management, and measurable improvements in control effectiveness. This role will focus on transforming fragmented risk and control data into reliable, accessible, and actionable information through scalable data pipelines, governed datasets, analytics-ready data products, and automation. You will work closely with analytics engineers, product teams, risk partners, platform teams, and governance stakeholders to integrate data from internal platforms, vendor tools, and external sources. The role plays a critical part in reducing reliance on manual reporting and spreadsheets, improving confidence in risk data, and enabling dashboards, reporting, analytics, and future AI‑based capabilities across the organization.

Key Responsibilities

• Design, build, and maintain trusted risk data products and scalable batch and streaming data pipelines using cloud-native technologies.
• Integrate data from risk platforms, control systems, vendor tools, operational applications, and external sources into governed, analytics-ready datasets.
• Develop and optimize ETL/ELT workflows that automate data ingestion, transformation, validation, reconciliation, and delivery.
• Build and manage data processing workloads within modern data lake and lakehouse environments, including Microsoft Fabric and OneLake.
• Implement data quality, monitoring, lineage, and reconciliation processes to ensure data reliability, consistency, and accuracy.
• Create curated datasets and analytical outputs that support operational reporting, leadership dashboards, trend analysis, risk identification, and decision‑making.
• Optimize data architectures, schemas, and processing patterns for scalability, performance, resilience, and cost efficiency.
• Develop reusable frameworks, engineering standards, CI/CD pipelines, automated testing, and operational monitoring to improve productivity and maintainability.
• Partner with analytics, product, risk, governance, security, and compliance stakeholders to establish data definitions, metrics, quality standards, and secure data access.
• Participate in Agile delivery activities including sprint planning, backlog refinement, design reviews, and continuous improvement initiatives.

Required Qualifications

• 4+ years of experience as a Data Engineer or in a similar role building and supporting production‑grade data pipelines and data products.
• Hands‑on experience with Apache Spark for large‑scale data processing and transformation.
• Strong proficiency in Python, SQL, and modern data engineering best practices.
• Experience developing ETL/ELT solutions within cloud‑based data lake, lakehouse, or analytics platforms.
• Experience designing and optimizing analytical data models that support reporting, dashboards, operational insights, and advanced analytics.
• Strong understanding of data quality, validation, monitoring, reconciliation, and production support processes.
• Experience with CI/CD pipelines, version control, automated testing, and infrastructure‑as‑code concepts.
• Demonstrated ability to troubleshoot complex data quality, performance, and integration issues across multiple data sources.
• Strong verbal and written communication skills with the ability to explain technical concepts to both technical and non‑technical audiences.
• Experience with Microsoft Fabric, OneLake, or similar modern analytics platforms preferred.

Essential Qualifications

• Experience working with risk, controls, compliance, audit, governance, or regulatory data domains.
• Experience building real‑time, near real‑time, or event‑driven data processing solutions.
• Familiarity with data governance, metadata management, data lineage, access controls, and enterprise data quality frameworks.
• Experience with orchestration and workflow management tools for data pipelines.
• Experience supporting operational reporting, executive dashboards, trend analysis, advanced analytics, or machine learning initiatives.
• Interest in building governed, scalable datasets that support AI and data‑driven products.

#LI‑SM1

Skills

• Apache Spark
• Data Engineering
• Data ETL
• Python (Programming Language)
• Software Development
• Structured Query Language (SQL)

Compensation

Compensation offered for this role is 100,000.00 - 170,500.00 annually and is based on experience and qualifications.

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

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.

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.

It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. 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.

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.