Jobs / United States / Allstate Insurance Company
Senior Data Engineer Con II
Allstate Insurance Company · 🇺🇸 USA - IL (Remote) · Remote
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 38 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 25 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Allstate Insurance Company paid sponsored hires in similar roles1 certified filing for “Applied Machine Learning Engineer Senior Expert” (Data Scientists) in CA: $193k–$193k, median $193k. Most were filed at wage level II (100%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Allstate Insurance Company
The US Department of Labor certified 38 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 25 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Allstate Insurance Company →
About the role
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 Job Description Allstate's Data & Analytics Technology organization is seeking a Senior Data Engineer to lead the design, development, and operation of scalable, resilient, and high-performing data platforms that power enterprise analytics, reporting, AI, and advanced data products. This role will be responsible for building and optimizing batch and streaming data solutions using Apache Spark, Microsoft Fabric, and modern cloud-native data technologies. As a Senior Data Engineer, you will play a critical role in designing and implementing Lakehouse architecture based on Medallion (Bronze, Silver, Gold) principles, ensuring that data is governed, trusted, and readily consumable across the enterprise. You will partner closely with analytics engineers, architects, data scientists, and product teams to transform complex data into business-ready information assets through effective data engineering, modeling, and governance practices. The ideal candidate possesses deep experience in large-scale data processing, dimensional data modeling, and modern software engineering practices, including leveraging Agentic AI-assisted development tools to accelerate engineering productivity, code quality, testing, and operational excellence. • Design, build, and maintain scalable batch and real-time data pipelines using Apache Spark , SQL, Python, and cloud-native data technologies. • Architect and implement Medallion Lakehouse data patterns (Bronze, Silver, Gold) to support enterprise analytics, reporting, operational intelligence, and AI use cases. • Develop and optimize ETL/ELT pipelines that ingest, transform, standardize, and curate data from diverse enterprise source systems. • Design and implement robust D imensional models , including fact and dimension tables, to support reporting, self-service analytics, and business intelligence solutions. • Build and manage data workloads within Microsoft Fabric , OneLake , and modern Lakehouse platforms. • Establish data quality, observability, and governance frameworks through automated validation, reconciliation, monitoring, and alerting capabilities. • Optimize Spark workloads for performance, scalability, reliability, and cost efficiency across large and complex datasets. • Design solutions that effectively manage schema evolution, data lineage, metadata, and source-system changes. • Develop reusable frameworks, accelerators, and engineering standards that improve consistency and delivery velocity across teams. • Leverage Agentic AI-assisted development capabilities to accelerate code generation, testing, documentation, troubleshooting, and engineering productivity while adhering to enterprise governance standards. • Implement CI/CD pipelines and DevSecOps practices to enable automated testing, deployment, release management, and rollback strategies. • Lead technical design reviews and provide mentorship to junior and mid-level data engineers. • Collaborate with data architects, business stakeholders, analytics engineers, and data scientists to translate business requirements into scalable data solutions. • Partner with platform, security, privacy, and governance teams to ensure compliance with enterprise policies and regulatory requirements. • Drive continuous improvement across dat