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
Visa Restrictions: We are currently only able to consider candidates who are authorized to work in the U.S. without sponsorship.
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