Data Engineer

Are you looking to join a dynamic team at a leading healthcare organization to design and build cutting-edge data infrastructure that powers data-driven initiatives with a focus on Generative AI and automation? As a Data Engineer, you’ll collaborate with cross-functional teams, including BI developers, data scientists, and software engineers, to create scalable data pipelines, optimize workflows, and ensure high-quality data delivery. This is an exciting opportunity to work on transformative projects in a remote, fast-paced environment. Company: Confidential (Leading Healthcare Organization) Location: Remote Job Type: Contract (through end of 2025, with likely extensions) Openings: 3 Start Date: ASAP – Urgent Need Key Responsibilities: • Design, build, and maintain scalable data pipelines to extract, transform, and load data into data warehouses or data lakes. • Integrate Generative AI models (e.g., Gemini, Copilot) into data systems, ensuring seamless automation and data flow. • Optimize data architectures to support AI workflows and handle large, diverse datasets for optimal model performance. • Identify and implement use cases for GenAI to streamline processes and enhance deliverables. • Implement data quality checks to ensure accuracy, completeness, and consistency. • Document processes and workflows for knowledge sharing. • Mentor junior data engineers to foster their technical growth. Must-Have Qualifications: • 3+ years of experience writing SQL in database systems like BigQuery or Teradata. • 1+ years of experience with Generative AI, including prompt engineering, LLMs (preferably Gemini, Copilot), and related frameworks. • 3+ years of hands-on experience building modern data pipelines in a major cloud platform (preferably GCP; AWS or Azure acceptable). • 3+ years of experience with Python or comparable scripting languages in a data engineering context. • 3+ years of experience with data orchestration and pipeline engineering tools (e.g., Airflow, Spark, Composer, DataProc). • 3+ years of experience deploying to and managing CI/CD in cloud database platforms. • Strong awareness of customer experience with a passion for automation and innovation. Preferred Qualifications: • Experience designing data engineering solutions in GCP, with knowledge of Gemini, Cloud Storage, Composer, or BigQuery. • Familiarity with Git, CI/CD pipelines, and DevOps best practices. • Experience with agentic frameworks, RAG approaches, or vector databases. • Knowledge of MLOps and AI model deployment. • Strong collaboration and communication skills across teams. Interview Process: 1. Round 1: 30-minute coding exercise + 30-minute technical questions with team leads. 1. Round 2: Technical and behavioral questions with a senior team member (no coding). Application Requirements: • Complete brief Feenyx assessment • Participate in a brief video call. • Provide a managerial reference (we’ll assist with outreach). Why Join Our Client? Contribute to meaningful projects that enhance healthcare experiences through data and AI innovation. This contract role offers flexibility, competitive compensation, and the chance to work remotely with a dynamic team. With likely extensions, this is a fantastic opportunity to make an impact and grow your career. Beacon Hill is an Equal Opportunity Employer that values the strength diversity brings to the workplace. Individuals with Disabilities and Protected Veterans are encouraged to apply. Completion of this form is voluntary and will not affect your opportunity for employment, or the terms or conditions of your employment. This form will be used for reporting purposes only and will be kept separate from all other records. California residents: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Apply Now to join our client's mission-driven team!