Senior / Lead Data Developer (Analytics Engineering)

PV: PlacingIT

Client: Boehringer Ingelheim

Senior / Lead Data Developer (Analytics Engineering) - 1763

Location: Ridgefield, CT (Hybrid / On-site preferred) - Flexible work from home days
Employment Type: Full-Time, salaried w/benefits
Salary Range: depends on experience and level of role: $140K - $200K + potential bonus

Role Overview
We are seeking a highly skilled Data Developer / Analytics Engineer to design, build, and 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 with 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, and maintain robust ETL/ELT pipelines using tools such as AWS Glue, Databricks, and DBT.
• Develop and manage scalable backend services using AWS Lambda, API Gateway, and serverless architectures.
• Ensure high data quality, reliability, performance, and security across all pipelines and platforms.
• Support data warehousing and business intelligence initiatives.

Data Visualization & Analytics

• Develop and maintain interactive dashboards and 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, and maintainable solutions that meet healthcare and regulatory requirements.

DevOps, Release Management & Operations

• Support development and production environments across DEV, QA, STAGING, and PROD.
• Build and maintain CI/CD pipelines using Git, Jenkins, Docker, Kubernetes, and related tools.
• Implement monitoring, automation, and 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