Senior​/Lead Data Developer; Analytics Engineering

Senior / Lead Data Developer (Analytics Engineering) - 1763

Location: Ridgefield, CT (Hybrid / On-site preferred) - Flexible work from home days

Employment Type: Full-Time, salaried with 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

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.

• 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.

• 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.

• 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.

• 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.

• 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.

• Design and implement automated testing frameworks and data validation strategies.
• Ensure software quality, data accuracy, and operational reliability.

• 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.

• 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 & Dev Ops tools: Git, Jenkins, Docker, Kubernetes
• IT security best practices and data compliance
• CRM platform experience
• Release management 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

• Familiarity with machine learning or advanced analytics integration
• Functional programming experience

• 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