Jobs / United States / Allstate Insurance Company
Managing Engineer, Data Engineering
Allstate Insurance Company · 🇺🇸 US - 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 We are seeking Two Managing Engineers, Data Engineering to lead the design, development, and delivery of scalable data solutions that support digital products, analytics, and business decision-making. Both opportunities combine hands-on engineering with technical leadership, team development, and delivery responsibility. You will partner with Product Managers, Software Engineers, Data Analysts, Architects, and business stakeholders to deliver reliable, secure, and high-performing data products. Based on an assessment of each candidate's experience, technical expertise, and leadership background, candidates may be considered for the opportunity that best aligns with their qualifications. Key Responsibilities People and Engineering Leadership • Lead, mentor, and coach Data Engineers while supporting their technical and professional development. • Promote a culture of collaboration, accountability, knowledge sharing, and continuous improvement. • Establish engineering standards and encourage consistent use of best practices. • Balance hands-on engineering with technical leadership, team development, and delivery responsibilities. • Depending on the position level, support or lead hiring, onboarding, performance feedback, career development, and workforce planning. Data Solution Design and Development • Lead the design, development, implementation, and support of scalable batch and streaming data solutions. • Develop reusable patterns for data ingestion, transformation, storage, and access. • Integrate data from APIs, databases, event streams, third-party platforms, and enterprise systems. • Remain actively involved in architecture discussions, solution design, code reviews, troubleshooting, and complex problem-solving. • Ensure data solutions are reliable, maintainable, secure, scalable, and cost-effective. Engineering Excellence and Production Support • Promote modern engineering practices, including version control, automated testing, continuous integration, automated deployment, and infrastructure automation. • Establish standards for data quality, validation, monitoring, lineage, and observability. • Optimize data pipelines, databases, queries, and storage solutions for performance and cost. • Support production operations and provide leadership during critical incidents, root-cause analysis, and preventative improvements. • Identify opportunities to reduce technical debt and operational risk. Product Collaboration and Delivery • Partner with Product Managers, Architects, Engineers, Analysts, and business stakeholders to understand priorities and deliver effective data solutions. • Translate business and product needs into technical roadmaps and clearly defined engineering work. • Lead or contribute to planning, prioritization, estimation, and delivery activities. • Manage risks, dependencies, resource needs, and competing priorities. • Communicate progress, technical recommendations, risks, and dependencies to stakeholders and leaders. Data Governance, Security, and Standards • Promote data governance practices, including metadata management, data lineage, classification, and data quality. • Ensure solutions meet applicable security, privacy, governance, and regulatory requirements. • Partner with Architecture, Security, Risk, and Governance teams to align solut