Staff Data Engineer

Job not on LinkedIn

🔥 9 minutes ago

🇺🇸 United States – Remote

💵 $157k - $232.7k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 0%

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Coalition Technologies

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2009

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Coalition Technologies is a leading digital marketing agency specializing in search engine optimization (SEO), pay-per-click (PPC) advertising, and web design. With a proven track record of success, the company has generated substantial revenue growth for clients across various industries by leveraging data-driven strategies and advanced technology. Coalition focuses on building lasting relationships with clients, providing customized solutions that maximize their online presence and profitability.

📋 Description

• Define the architecture and technical direction of Coalition’s enterprise Data & Analytics platform • Build trusted, scalable data infrastructure for cybersecurity, insurance exposure analytics, BI, actuarial workflows, and AI/ML products • Set architecture and engineering standards for Snowflake, dbt, orchestration, streaming, batch ELT, and infrastructure-as-code • Design governed Medallion pipelines and domain-oriented data models • Build reusable data products, contracts, feature stores, and semantic models for BI, actuarial, AI/ML, and operational consumers • Establish observability, quality, lineage, security, and incident-management practices • Develop 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 outcomes

🎯 Requirements

• 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 • Experience influencing architecture across teams, mentoring engineers, communicating tradeoffs, and creating durable engineering standards • 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

🏖️ Benefits

• 100% medical, dental, and vision coverage • 401(k) retirement plan with competitive employer match • Flexible PTO • Up to 14 weeks of paid leave for birthing parents and 8 weeks of paid parental leave for non-birthing parents • Annual home office stipend and WeWork access • Mental & physical health wellness programs like One Medical, Headspace, Wellhub, and more! • Competitive compensation and opportunity for advancement • Remote-first culture

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