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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer, Consultant - **Company:** RELEADY, LLC - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $156,000.0 - $176,800.0 - **Contract:** Temporary contract - **Skills:** Training Data, Artificial Intelligence, Airflow, Data Analysis, Microsoft Azure, Cloud Computing, Code Review, Continuous Delivery, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Data Systems, Data Vault Modeling, Data Warehousing, Distributed Data Store, Performance Tuning, Systems Development Life Cycle, Cloud Services, DataOps, Software Engineering, SQL Databases, Workflow Management Systems, Enterprise Data Management, Privacy Controls, System Availability, Snowflake, Parallel Computation, Star Schema, Data Management, Multiplatform, Data Pipelines, Devsecops, Databricks - **Published:** September 10, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-engineer-consultant-hybrid-san-francisco-ca--23a24697-69da-435c-a9da-dadfea1f0946 ## About the Role * Bachelor's degree or equivalent experience, with a minimum of seven years of data engineering experience. * Advanced hands-on expertise in SQL, including automation and pipeline optimization. * Strong experience with cloud platforms, Azure preferred, and services such as ADLS, Synapse, and Data Factory. * Extensive experience with modern data platforms including Snowflake and Databricks, and orchestration tools such as Airflow or Tidal. * Deep understanding of data modeling, integration patterns, data architecture, data quality, and data warehousing. * Proven experience implementing CI/CD pipelines, Infrastructure as Code, and DataOps practices. * Strong understanding of security, privacy, and compliance requirements in regulated environments. * Experience working with large-scale, distributed data platforms and parallel processing architecture. * Experience with Airflow or Tidal (migrating from Tidal; comparable orchestration tools considered) * Excellent communication and stakeholder engagement skills, with a proven ability to lead technically without formal people management responsibility. * Healthcare industry experience is preferred, including exposure to Epic or similar ecosystems., Analysis Skills, Artificial Intelligence (AI), Automation, Cloud Computing, Code Reviews, Communication Skills, Community Health, Consulting, Continuous Deployment/Delivery, Continuous Integration, Cost Control, Data Analysis, Data Management, Data Modeling, Data Quality, Demographics, Diversity, Ecosystems, Engineering, Epic Systems, Health Plan, Healthcare, High Availability, Leadership, Mentoring, Microsoft Windows Azure, Multiplatform/Cross-Platform, Nonprofit, Operations Planning, Parallel Computing, People Management, Performance Tuning/Optimization, Privacy Controls, Regulatory Compliance, SQL (Structured Query Language), Scalable System Development, Snowflake Schema, Software Engineering, Technical Leadership, Testing, Training Data Sets ## Description This role is a senior individual contributor and technical leader who reports to a Senior Manager or Manager within Data Solutions and drives end-to-end delivery of complex data engineering solutions across cloud data platforms. The Consultant partners closely with Solution Design Leads, Architects, Product Managers, and business stakeholders to translate solution designs and business requirements into scalable, secure, production-ready data products, and provides technical leadership and mentorship without formal people management responsibility., Solution Architecture & Delivery Lead the design and implementation of complex data pipelines and data products from development through production. Translate solution designs and business requirements into detailed technical architecture and implementation plans. Architect and build scalable, secure, and highly available data solutions across enterprise data platforms. Apply advanced data modeling techniques, including Data Vault 2.0, dimensional, and domain-oriented models, to support analytics and reporting needs. Quality, Security & Operational Excellence Embed data quality, testing, security, and observability by design across data pipelines. Drive operational excellence, including incident analysis, stabilization, performance tuning, and deployment optimization. Identify and implement optimization opportunities related to performance, reliability, and cloud cost management. Technical Leadership & Standards Influence and evolve the data engineering standards, patterns, and frameworks used by delivery teams. Provide technical leadership and mentorship to Data Engineers and Senior Data Engineers through design reviews and code reviews. Work within an agile / DevSecOps pod model, collaborating closely with solution leads, data modelers, analysts, and business partners. AI Enablement & Stakeholder Communication Support integration of AI/ML-ready datasets by ensuring data is well-modeled, reliable, and governed. Communicate complex technical concepts clearly to both technical and non-technical stakeholders. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [DevSecOps: Security in DevOps](https://www.wearedevelopers.com/videos/36-devsecops-security-in-devops) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)