Senior Data Developer

Role Overview

We are seeking a highly skilled Data Developer / Analytics Engineer to design, build, && maintain modern, cloud-based data platforms that power analytics, visualization, and business intelligence solutions.

This role is backend-heavy with a strong focus on ETL/ELT pipelines, data warehousing, AWS services, and analytics engineering, paired && front-end visualization using Tableau and Power BI. You will work across the full data lifecycle from ingestion and transformation to visualization and release management, delivering secure, scalable, high-performance data solutions.

You will collaborate closely with product, analytics, and business stakeholders in an agile environment to deliver data-driven applications that support healthcare, pharmaceutical, biotech, and consulting use cases. Experience working in regulated environments or with large healthcare systems is strongly preferred.

Key Responsibilities

Data Platform & Pipeline Development

• Design, build, && maintain robust ETL/ELT pipelines using tools such as AWS Glue, Databricks, and DBT.

• Develop && manage scalable backend services using AWS Lambda, API Gateway, && serverless architectures.

• Ensure high data quality, reliability, performance, && security across all pipelines && platforms.

• Support data warehousing and business intelligence initiatives.

Data Visualization & Analytics

• Develop && maintain interactive dashboards && reporting solutions using Tableau and Power BI.

• Partner with business users to translate analytical needs into actionable insights and visualizations.

• Enable self-service analytics through well-designed data models and semantic layers.

Architecture & Integration

• Design API-enabled backend integrations and data services aligned with enterprise architecture standards.

• Implement secure, compliant, && maintainable solutions that meet healthcare and regulatory requirements.

DevOps, Release Management & Operations

• Support development and production environments across DEV, QA, STAGING, and PROD.

• Build && maintain CI/CD pipelines using Git, Jenkins, Docker, Kubernetes, and related tools.

• Implement monitoring, automation, && operational best practices to ensure system reliability.

Agile Collaboration

• Work within an agile development environment, partnering with product owners and cross-functional teams.

• Participate in sprint planning, backlog grooming, release management, and continuous improvement efforts.

Testing & Quality

• Design and implement automated testing frameworks and data validation strategies.

• Ensure software quality, data accuracy, and operational reliability.

Leadership (Lead / Principal / Sr. Principal Levels)

• Provide technical leadership, mentorship, and best-practice guidance to junior engineers.

• Drive innovation, architectural improvements, and analytics modernization initiatives.

• Collaborate with stakeholders to align data engineering efforts with business goals.

Required Qualifications

• Experience in pharmaceutical, biotech, healthcare, or healthcare consulting environments, or experience working with large healthcare systems or regulated industries MUST HAVE

• AWS Cloud

• Data pipeline development (ETL / ELT): AWS Glue, Databricks, DBT

• Serverless backend development: AWS Lambda, API Gateway

• Data warehousing & Business Intelligence (BI)

• Frontend visualization: Tableau, Power BI

• Agile development methodologies

• CI/CD & DevOps tools: Git, Jenkins, Docker, Kubernetes

• IT security best practices and data compliance

• CRM platform experience

• Release management experience

Education & Experience

• Associate degree in Computer Science, MIS, or related field with 11+ years of relevant experience

• Bachelor s degree in Computer Science, MIS, or related field with 9+ years of experience

• Master s degree in Computer Science, MIS, or related field with 7+ years of experience

• Or 11+ years of equivalent business or IT experience

• Minimum 6+ years of hands-on programming experience preferred

Preferred / Nice-to-Have Skills

• Familiarity with machine learning or advanced analytics integration

• Functional programming experience

Soft Skills & Attributes

• Strong communication and cross-functional collaboration skills

• Analytical mindset with attention to data quality and reliability

• Adaptable, growth-oriented, and eager to expand technical and leadership skills

• Comfortable mentoring and guiding other engineers

• Thrives in a collaborative, agile environment