Associate/Consultant Engineer

Accountabilities

• • Design and implement scalable, maintainable technical solutions for client and internal projects, applying sound engineering principles and industry best practices.
  • Translate business and functional requirements into technical designs, specifications, architecture diagrams, and actionable engineering plans.
  • Own defined technical components or project workstreams, delivering high-quality outcomes with limited supervision and maintaining accountability for deadlines and deliverables.
  • Troubleshoot and resolve complex technical issues across systems and environments, evaluating alternatives and recommending solutions that balance performance, cost, scalability, and maintainability.
  • Work directly with clients to clarify requirements, validate assumptions, communicate progress, and ensure technical solutions address business needs.
  • Develop client-facing deliverables, including design documentation, demonstrations, presentations, and other technical materials.
  • Collaborate with architects, project managers, engineers, and consulting teams to deliver integrated solutions across multidisciplinary projects.
  • Support engineering quality by following coding, testing, version control, documentation, security, and other technical standards.
  • Contribute to continuous improvement through code and design reviews, reusable accelerators, automation, and evolving engineering practices.
  • Stay current with emerging technologies and identify opportunities to apply modern approaches to data, software, cloud, analytics, and life-sciences technology projects.

  Requirements

  • 2+ years of professional engineering experience, preferably within consulting, data, software delivery, or another technology-focused environment.
  • 2+ years of experience designing and implementing production-grade solutions using modern technologies such as Python, SQL, dbt, React, Vue, AWS, Azure, or GCP.
  • Strong expertise in at least one core engineering area, such as software/application engineering, data engineering, or cloud engineering.
  • Solid understanding of software engineering fundamentals, including version control, testing, CI/CD, documentation, and maintainable development practices.
  • Demonstrated ability to translate business or functional requirements into clear technical specifications and architecture designs.
  • Hands-on experience with system integrations, APIs, data pipelines, or related technical infrastructure.
  • Proven ability to independently manage and deliver technical workstreams while maintaining high standards for quality and scalability.
  • Excellent written and verbal communication skills, with the ability to explain technical concepts effectively to both technical and non-technical audiences.
  • Strong collaboration skills and comfort working with cross-functional teams and directly with clients.
  • Experience working in agile, iterative, or project-based delivery environments.
  • An advanced degree such as an MS, MBA, or PhD in a life-sciences-related discipline is a plus.
  • Familiarity with AI/ML applications in drug discovery, real-world evidence, digital clinical trials, or other emerging R&D technologies is advantageous.
  • Experience with data platforms such as Snowflake, Databricks, Redshift/Athena, or BigQuery is preferred.
  • Knowledge of cloud architecture, infrastructure-as-code, DevOps, containerization, automation, data modeling, ETL/ELT, or analytics engineering is beneficial.
  • Experience with code/design reviews, mentoring junior engineers, developing internal best practices, or building technical accelerators is a plus.

  Benefits

  • Associate-level salary: $69,416.67–$85,750 per year.
  • Consultant-level salary: $82,025–$101,325 per year.
  • 100% remote work within the United States.
  • Flexible working hours designed to support work-life balance.
  • Medical, dental, and vision coverage for employees and their families.
  • 401(k) retirement plan with company matching.
  • Paid time off.
  • Continuous learning opportunities and support for professional development.
  • Career conversations and coaching to help employees grow and advance.
  • Exposure to innovative projects across data, technology, healthcare, biotechnology, and life sciences.