Jobs / United States / Coalition INC
Staff Data Engineer
Coalition INC · 🇺🇸 Any location, United States
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 11 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 5 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 Coalition INC paid sponsored hires in similar roles1 certified filing for “Data Science Engineer II” (Data Scientists) in MA: $153k–$153k, median $153k. 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 — Coalition INC
The US Department of Labor certified 11 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 5 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 Coalition INC →
About the role
About us Coalition is the world's first Active Insurance provider designed to help prevent digital risk before it strikes. Founded in 2017, Coalition combines comprehensive insurance coverage and innovative cybersecurity tools to help businesses manage and mitigate potential cyberattacks. Opportunities to make an impact with bold thinking are real—and happening daily at Coalition. About the role As a Staff Data Engineer on Coalition’s Data team, you will define the architecture and technical direction of the enterprise Data & Analytics platform. You will build trusted, scalable data infrastructure for cyber security, insurance exposure analytics, BI, actuarial workflows, and AI/ML products. Your work will help Coalition make better risk decisions, deliver reliable data products, and scale its mission to Protect the Unprotected. Responsibilities • Set the architecture and engineering standards for Snowflake, dbt, orchestration, streaming, batch ELT, and infrastructure-as-code across the Data platform. • Design governed Medallion pipelines and domain-oriented data models that make complex insurance and security data reliable, discoverable, and usable. • Build reusable data products, contracts, feature stores, and semantic models that serve BI, actuarial, AI/ML, and operational consumers. • Establish observability, quality, lineage, security, and incident-management practices that protect data reliability and support regulated workflows. • Develop the platform foundations for feature engineering, embeddings, vector search, and retrieval-augmented AI applications. • Partner with engineering, product, underwriting, actuarial, security, and business teams to align architecture with customer and business outcomes. Skills and Qualifications • 9–12 years of experience building and operating production data platforms, with a track record of owning architecture for complex or high-scale systems. • Deep expertise in Snowflake and dbt, including performance optimization, incremental processing, warehouse cost management, testing, and deployment practices. • Strong programming and data modeling skills in Python and analytical SQL, with experience designing dimensional models and/or Data Vault 2.0 architectures. • Experience building reliable batch and streaming pipelines with modern orchestration and ingestion technologies such as Airflow, Dagster, Prefect, Kafka, Kinesis, Snowpipe Streaming, or Dynamic Tables. • Experience establishing data products, data contracts, domain ownership, SLAs, access controls, lineage, and quality standards across multiple teams. • Experience building feature engineering infrastructure or AI data systems, including feature stores, embeddings, vector search, or RAG pipelines. • Production experience with Looker and LookML, including governed semantic models and centralized metrics for self-service analytics. • A strong technical leadership mindset, with experience influencing architecture across teams, mentoring engineers, communicating tradeoffs, and creating durable engineering standards. Bonus Points • Experience modeling insurance domains such as underwriting, claims, reinsurance, policy exposure, loss runs, or loss triangles. • Familiarity with Snowflake Cortex, Feast, DataHub, Atlan, OpenLineage, Elementary, dbt-expectations, or Evidently AI. • Experience implementing RBAC hierarchies, row-level policies, column masking, PII tokenization, audit logging, or regulated-data controls. • Experience managing Snowflake environments with Terraform and CI/CD tools such as GitHub Actions. • Experience using AI-assisted development tools such as Cursor or GitHub Copilot to improve code quality, testing, and documentation. Compensation Our compensation reflects the cost of labor across several