🧠 Data Engineer

📍 Location: Ridgefield, Connecticut (Hybrid – 2–3 days onsite per week)
💼 Openings: 2
🏢 Industry: Information Technology / Life Sciences
🎓 Education: Bachelor’s degree in Computer Science, MIS, or related field (Master’s preferred)
🚫 Visa Sponsorship: Not available
🚚 Relocation: Available for the ideal candidate
💰 Compensation: $140,000 – $185,000 base salary + full benefits
🕓 Employment Type: Full-Time | Permanent

🌟 The Opportunity

Step into the future with a global leader in healthcare innovation — where Data and AI drive transformation and impact millions of lives.

As part of the Enterprise Data, AI & Platforms (EDP) team, you’ll join a high-performing group that’s building scalable, cloud-based data ecosystems and shaping the company’s data-driven future.

This role is ideal for a hands-on Data Engineer who thrives on designing, optimizing, and maintaining robust data pipelines in the cloud, while collaborating closely with architects, scientists, and business stakeholders across the enterprise.

🧭 Key Responsibilities

Design, develop, and maintain scalable ETL/ELT data pipelines and integration frameworks to enable advanced analytics and AI use cases.
Collaborate with data architects, modelers, and data scientists to evolve the company’s cloud-based data architecture strategy (data lakes, warehouses, streaming analytics).
Optimize and manage data storage solutions (e.g., S3, Snowflake, Redshift), ensuring data quality, integrity, and security.
Implement data validation, monitoring, and troubleshooting processes to ensure high system reliability.
Work cross-functionally with IT and business teams to understand data requirements and translate them into scalable solutions.
Document architecture, workflows, and best practices to support transparency and continuous improvement.
Stay current with emerging data engineering technologies, tools, and methodologies, contributing to innovation across the organization.

🧠 Core Requirements

Technical Skills

✅ Hands-on experience with AWS data services such as Glue, Lambda, Athena, Step Functions, and Lake Formation.
✅ Strong proficiency in Python and SQL for data manipulation and pipeline development.
✅ Experience in data warehousing and modeling (dimensional modeling, Kimball methodology).
✅ Familiarity with DevOps and CI/CD practices for data solutions.
✅ Experience integrating data between applications, data warehouses, and data lakes.
✅ Understanding of data governance, metadata management, and data quality principles.

Cloud & Platform Experience

Expertise in AWS, Azure, or Google Cloud Platform (GCP) – AWS preferred.
Knowledge of ETL/ELT tools such as Apache Airflow, dbt, Azure Data Factory, or AWS Glue.
Experience with Snowflake, PostgreSQL, MongoDB, or other modern database systems.

Education & Experience

🎓 Bachelor’s degree in Computer Science, MIS, or related field
💼 5–7 years of professional experience in data engineering or data platform development
⭐ AWS Solutions Architect certification is a plus

🚀 Preferred Skills & Attributes

Deep knowledge of big data technologies (Spark, Hadoop, Flink) is a strong plus.
Proven experience troubleshooting and optimizing complex data pipelines.
Strong problem-solving skills and analytical mindset.
Excellent communication skills for collaboration across technical and non-technical teams.
Passion for continuous learning and data innovation.

💰 Compensation & Benefits

💵 Base Salary: $140,000 – $185,000 (commensurate with experience)
🎯 Bonus: Role-based variable incentive
💎 Benefits Include:

Comprehensive health, dental, and vision coverage
Paid vacation and holidays
401(k) retirement plan
Wellness and family support programs
Flexible hybrid work environment

🧩 Candidate Snapshot

Experience: 5–7 years in data engineering or related field
Key Skills: AWS Glue | Python | SQL | ETL | CI/CD | Snowflake | Data Modeling | Cloud Architecture
Seniority Level: Mid–Senior
Work Arrangement: 2–3 days onsite in Ridgefield, CT
Travel: Occasional

🚀 Ready to power the future of data-driven healthcare?
Join a global data and AI team committed to harnessing the power of cloud and analytics to drive discovery, innovation, and meaningful impact worldwide.

☁️ Cloud Data Architect

📍 Location: Ridgefield, Connecticut (Hybrid – 2–3 days onsite per week)
🏢 Industry: Pharmaceutical / Biotech / Information Technology
🎓 Education: Bachelor’s degree in Computer Science, Information Technology, or related field (or 10+ years equivalent IT experience)
💼 Experience Level: Mid–Senior (7–10 years)
🚫 Visa Sponsorship: Not available
🚚 Relocation: Available for ideal candidate
💰 Compensation: $170,000 – $210,000 base salary + benefits + potential performance bonus
🕓 Employment Type: Full-Time | Permanent

🌟 The Opportunity

Join a global leader in life sciences as a Cloud Data Architect, driving innovation and digital transformation within the Enterprise Data, AI & Platforms organization.

In this role, you’ll design and implement scalable, secure, and intelligent cloud-based data architectures that power analytics, AI, and digital products across the business. You’ll partner with data leaders, business stakeholders, and cross-functional technology teams to shape how data is collected, managed, and transformed into actionable insights.

If you’re passionate about modern data ecosystems, cloud architecture, and leveraging AI-driven solutions to impact patient outcomes — this is an opportunity to make a global difference.

🧭 Key Responsibilities

Design and implement efficient, scalable cloud-based data architectures that align with business and technology goals.
Develop and optimize data models, schemas, and database designs supporting structured and unstructured data.
Collaborate with business stakeholders, data domain owners, and data scientists to define data requirements and implement robust solutions.
Lead data modernization projects and support cloud migration strategies using AWS technologies.
Partner with governance teams to establish and maintain data policies, access frameworks, and sharing standards.
Enhance data pipelines for ingestion, transformation, and integration of diverse datasets across domains.
Provide technical leadership and mentorship to data engineering and development teams.
Stay ahead of emerging data technologies, AI/ML innovations, and architectural best practices to drive continuous improvement.

🧠 Core Qualifications

✅ 7+ years in data management and architecture, including experience as a Data Architect.
✅ 5+ years hands-on experience with cloud platforms (AWS required) and enterprise data solutions.
✅ Proven track record leading cloud modernization or data transformation projects.
✅ Strong experience with AWS components (S3, Glue, Lambda), Snowflake, Apache Parquet, and SQL/NoSQL databases.
✅ Proficiency with ETL tools such as dbt, SnapLogic, and middleware integrations.
✅ Expertise in data modeling, data pipeline optimization, and semantic data structures.
✅ Experience developing Knowledge Graphs and semantic data models using ontologies and taxonomies.
✅ Understanding of AI/ML data pipelines, including use cases in NLP, recommendation engines, and predictive analytics.
✅ Deep knowledge of data governance, quality, and lifecycle management.
✅ Excellent communication and collaboration skills to effectively engage technical and business teams.

💡 Preferred Skills & Certifications

⭐ AWS Solutions Architect certification (Associate or Professional).
⭐ Familiarity with Innovator or similar enterprise architecture tools.
⭐ Experience within pharmaceutical or biotech industries — particularly in commercial data domains or GxP environments.
⭐ Strong analytical and problem-solving mindset, with the ability to defend and present technical design decisions.
⭐ Exposure to Agile/Scrum delivery models and distributed global teams.

💰 Compensation & Benefits

💵 Base Salary: $170,000 – $210,000 (commensurate with experience)
🎯 Bonus: Role-specific or performance-based
💎 Benefits Include:

Comprehensive medical, dental, and vision coverage
Paid time off, holidays, and flexible hybrid schedule
401(k) retirement plan with company match
Wellness, family support, and professional development programs
Global collaboration and mobility opportunities

🧩 Candidate Snapshot

Experience: 7–10 years in data architecture and cloud systems
Specialization: AWS Cloud | Data Modeling | ETL | Data Pipeline Design | Data Governance
Certifications: AWS Solutions Architect (preferred)
Seniority: Mid–Senior
Work Arrangement: 2–3 days onsite in Ridgefield, CT
Travel: Occasional

🌍 Why This Role Matters

This position sits at the heart of the company’s global data strategy — shaping how data is collected, structured, and leveraged to accelerate drug discovery, digital medicine, and patient outcomes. You’ll be part of a collaborative, innovation-driven environment where your work has a tangible impact on global healthcare advancements.

🚀 Ready to architect the future of cloud data innovation?
Join a team that’s transforming how data powers scientific breakthroughs and smarter decision-making — for patients, healthcare providers, and communities worldwide.

Your new job awaits.