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Associate/Consultant Engineer
Location
United States
Posted
95 days ago
Salary
$90K - $130K / year
Seniority
Mid Level
Job Description
Associate/Consultant Engineer
Rancho BioSciences LLC
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role is critical in driving results across a project, ensuring successful execution, strategic alignment, and effective team collaboration. The Engineer will drive engagements in data-related and technology-driven projects with a focus on development while maintaining strong client engagement. - 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 Qualifications - 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 Requirements - 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 Benefits - We offer a variety of health and wellbeing benefits, including medical, dental, and vision plans for you and your family - We offer financial wellbeing benefits, including a 401(k) with company match - We encourage continuous learning and facilitate career conversations and coaching to support your development - We value work-life balance, offering Paid Time Off, flexible working hours, and a 100% remote work environment
Job 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
Benefits
- We offer a variety of health and wellbeing benefits, including medical, dental, and vision plans for you and your family
- We offer financial wellbeing benefits, including a 401(k) with company match
- We encourage continuous learning and facilitate career conversations and coaching to support your development
- We value work-life balance, offering Paid Time Off, flexible working hours, and a 100% remote work environment
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