Job Description
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
A leading global professional services organization is seeking a Senior Associate to support the development of next-generation analytics solutions for healthcare payers. The role sits within an Operations Consulting environment and focuses on combining software engineering, data engineering, analytics, and modern cloud technologies to help clients improve operational effectiveness and business performance.
The successful candidate will work alongside healthcare experts, data scientists, and consulting professionals to design innovative solutions, solve complex technical challenges, and deliver high-quality outcomes for clients.
The role requires a strong relationship-oriented professional who can navigate increasingly complex situations, adapt to ambiguity, and develop deep technical expertise while contributing to the growth and success of project teams.
Key Responsibilities
- Design and implement advanced analytics solutions for healthcare payer organizations.
- Analyze complex technical and business challenges and develop actionable insights.
- Build and maintain scalable data and analytics platforms.
- Develop and manage data engineering workflows and modern cloud-based solutions.
- Mentor and guide junior team members in their technical and professional development.
- Maintain exceptional standards of quality across project deliverables.
- Build and nurture strong relationships with clients and project stakeholders.
- Navigate complex project environments and adapt effectively to changing requirements.
- Collaborate with healthcare experts, data scientists, engineers, and consulting professionals.
- Contribute to the development of innovative and impactful solutions in a consulting environment.
- Apply critical thinking and a broad range of tools, methodologies, and techniques to solve complex problems.
- Interpret data to generate meaningful insights and recommendations.
- Understand broader project objectives and align technical work with overall business strategy.
- Uphold professional and technical standards, organizational codes of conduct, and applicable independence requirements.
Required Qualifications
- Bachelor’s degree.
- At least 4 years of experience in software engineering or data engineering.
- Strong understanding of software development and data engineering practices.
- Experience working with modern cloud-based data platforms.
- Ability to analyze complex problems and translate technical findings into actionable recommendations.
- Strong communication, collaboration, and relationship-building skills.
- Ability to work effectively in environments with ambiguity and changing requirements.
Preferred Qualifications
- Master’s degree in Computer Science, Data Engineering, Software Engineering, or a related field.
- Experience operating dbt at scale on Databricks.
- Experience working with healthcare analytics packages.
- Experience designing CI/CD pipelines for Databricks Asset Bundles.
- Experience provisioning Azure Databricks workspaces and managing isolation patterns.
- Experience building Python CLI tools using argparse and YAML configuration.
- Experience designing AI agent systems for development workflows.
- Familiarity with corporate network constraints and enterprise infrastructure environments.
- Experience working with multi-cloud data flows.
- Experience with machine learning operations and modern data platform architectures.
- Strong understanding of DevOps, version control, and automated deployment practices.
Professional Expectations
- Respond effectively to diverse perspectives, needs, and stakeholder requirements.
- Use critical thinking to break down complex technical and business concepts.
- Develop a deeper understanding of business environments and how they evolve.
- Apply reflection and continuous learning to strengthen technical and professional capabilities.
- Anticipate the needs of project teams and clients and consistently deliver quality work.
- Build meaningful professional relationships while strengthening technical expertise.
- Remain comfortable with ambiguity and use challenging situations as opportunities for growth and innovation.
Disclaimer
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