Jobs / United States / Allstate Insurance Company
Data Engineer Consultant II
Allstate Insurance Company · 🇺🇸 Ind – Blr Sez 1 (3Rd, 6Th & 7Th Floor)
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 roles5 certified filings for “Software Engineer Lead Consultant” (Software Developers) in TX: $139k–$166k, median $166k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% 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 Allstate’s Data & Analytics Technology organization is seeking a Data Engineer to design, build, and operate scalable, reliable, and high performing data pipelines that support enterprise analytics, reporting, and advanced data use cases. In this role, you will focus on building robust batch and streaming data solutions using Apache Spark and modern cloud data platforms. Experience with Microsoft Fabric is a strong plus. You will work closely with analytics engineers, data scientists, product teams, and platform partners to transform raw, complex data into trusted, analytics ready datasets. This role plays a critical part in enabling data driven decision making by ensuring data quality, performance, scalability, and operational excellence across the data platform. Key Responsibilities • Design, build, and maintain scalable batch and streaming data pipelines using Apache Spark and cloud‑native data technologies. • Develop and optimize ETL/ELT workflows to ingest, transform, and curate data from diverse source systems into analytics‑ready datasets. • Implement data modeling and transformation logic to support reporting, dashboards, and downstream analytical and machine learning workloads. • Build and manage data processing workloads within modern Lakehouse platforms, including Microsoft Fabric / One Lake (preferred). • Ensure data quality, reliability, and consistency by implementing validation checks, monitoring, and reconciliation processes. • Optimize Spark jobs for performance, cost efficiency, and scalability across large and complex datasets. • Manage and evolve data schemas while handling schema drift and upstream source changes. • Develop reusable frameworks, libraries, and standardized patterns to improve data engineering productivity and consistency. • Implement CI/CD pipelines for data workloads to enable automated testing, deployment, and rollback. • Monitor data pipelines and jobs, troubleshoot failures, and resolve performance or data quality issues. • Partner with analytics engineers, BI developers, and data scientists to understand data requirements and deliver curated datasets. • Collaborate with platform, security, and governance teams to ensure data security, compliance, and proper access controls. • Contribute to Agile delivery processes, including sprint planning, design reviews, and continuous improvement initiatives. Required Qualifications • Strong experience as a Data Engineer building and operating production data pipelines. • Hands‑on experience with Apache Spark for large‑scale data processing. • Proficiency in Python , SQL , and data transformation best practices. • Experience with cloud‑based data platforms and storage (e.g., Data Lakes, Lakehouse architectures). • Familiarity with Microsoft Fabric , One Lake , or similar analytics platforms (strong plus). • Experience designing and optimizing data models for analytical workloads. • Understanding of distributed data processing concepts, performance tuning, and fault tolerance. • Experience with CI/CD, version control, and infrastructure‑as‑code concepts. • Strong problem‑solving skills and ability to troubleshoot complex data issues. • Excellent communication skills and ability to collaborate across technical and non‑technical teams. • 4+ years of experience in data engineering or equivalent