Associate/Consultant Engineer - Remote

Rancho BioSciences is a globally recognized leader in providing advanced services and products across data curation, governance, bioinformatics, and analytics. They are seeking an experienced Associate or Consultant Engineer to drive results in data-related and technology-driven projects, ensuring successful execution and client engagement.

Responsibilities:

• Design and implement high-quality, scalable technical solutions for client and internal projects
• Translate business and/or functional requirements into sound engineering designs
• Own the delivery of well-defined technical components or workstreams with minimal supervision
• Troubleshoot and resolve complex technical issues across systems and environments
• Evaluate technical options and recommend effective solutions that balance performance, cost, and maintainability
• Collaborate directly with clients to clarify requirements and validate assumptions
• Communicate technical concepts clearly to both technical and non-technical audiences
• Contribute to client-facing deliverables, such as design documents, demos, and presentations
• Work collaboratively with architects, project managers, and other members of the consulting team to deliver integrated solutions
• Follow and help enforce engineering best practices, code quality standards, and security guidelines
• Ensure deliverables meet both client expectations and internal quality benchmarks

Requirements:

• 2+ years of engineering experience, ideally in a consulting, data, or software delivery environment
• 2+ years of experience designing and implementing production-grade solutions in a modern technology stack (Python, SQL, dbt, React, Vue, AWS/Azure/GCP)
• Strong proficiency in at least one core engineering domain (software/application, data, or cloud engineering)
• Solid understanding of software engineering principles – version control, testing, CI/CD, and documentation
• Demonstrated ability to translate requirements into clear technical specifications or architecture diagrams
• Hands on experience with system integration, APIs, or data pipelines
• Proven ability to deliver technical workstreams independently
• Excellent communication skills
• Strong collaboration and teamwork mindset within cross-functional and client-facing environments
• Commitment to producing high-quality, maintainable, and scalable solutions
• Experience working in agile or iterative project environments
• Advanced degree (PhD, MBA, or MS) in a Life Science related field
• Familiarity with emerging technologies in R&D, including AI/ML in drug discovery, real-world evidence (RWE), and digital clinical trials
• Experience with data platform design (Snowflake, Databricks, Redshift/Athena, BigQuery, etc)
• Experience or familiarity with cloud architecture patterns and infrastructure-as-code
• Experience with DevOps practices, containerization, or automation frameworks
• Understanding of data modeling, ETL/ELT, and analytics engineering principles
• Experience contributing to or leading code/design reviews
• Experience mentoring junior engineers or contributing to internal best practices and accelerators
• Demonstrated interest in continuous learning and emerging technologies