Data Engineer | AWS, Python & Snowflake | Ridgefield, CT (Hybrid) | $140K–$185K

🧠 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.

Azure Cloud Architect - USA, Remote $140,000 to $180,000

Azure Cloud Architect

USA, Remote

$140,000 to $180,000

Responsibilities 

• Architect and design solutions to meet functional and non-functional requirements  

• Create and review architecture and solution design artifacts 

• Evangelize re-use through the implementation of shared assets  

• Enforce adherence to architectural standards/principles, global product-specific guidelines, usability design standards, etc.  

• Proactively guide engineering methodologies, standards, and leading practices  

• Guidance of engineering staff and reviews of as-built configurations during the construction phase  

• Provide insight and direction on roles and responsibilities required for solution operations  

• Identify, communicate and mitigate Risks, Assumptions, Issues, and Decisions throughout the full lifecycle  

• Considers the art of the possible, compares various architectural options based on feasibility and impact, and proposes actionable plans  

• Demonstrate strong analytical and technical problem-solving skills  

• Ability to analyze and operate at various levels of abstraction  

• Ability to balance what is strategically right with what is practically realistic 

Minimum qualifications 

• Excellent technical architecture skills, enabling the creation of future-proof, complex global solutions  

• Excellent interpersonal communication and organizational skills are required to operate as a leading member of global, distributed teams that deliver quality services and solutions.  

• Ability to rapidly gain knowledge of the organizational structure of the firm to facilitate work with groups outside of the immediate technical team.  

• Knowledge and experience in IT methodologies and life cycles that will be used.  

• Familiar with solution implementation/management, service/operations management, etc.  

• Leadership skills can inspire others and persuade  

• Maintains close awareness of new and emerging technologies and their potential application for service offerings and products.  

• Bachelor’s Degree or equivalency (CS, CE, CIS, IS, MIS, or engineering discipline) or equivalent work experience  

• Experience in a solution architecture role using service and hosting solutions such as private/public cloud IaaS, PaaS, and SaaS platforms.  

• Experience in architecting and designing technical solutions for Microsoft-centric solutions based on industry standards using Azure IaaS, PaaS, and SaaS capabilities.  

• Experience with any of the following: Azure, Azure Stack, Azure AD  

• Must have hands-on experience on various services like ADF, ADLS, Security, Monitoring, Governance

• Must have experience to design platform on Azure.

• 3+ years of hands-on Experience to design and build Databricks based solution on Azure platform

• 1+ year of hands-on experience to design and build solution powered by DBT models and integrate with databricks.

• Must be very good designing End-to-End solution on Azure platform.

• Must have good knowledge of Data Engineering concept and related services of Azure

• Must have good experience in Python and Spark

• Must have good experience in setting up development best practices.

• Intermediate level knowledge is required for Data Modelling

• Good to have knowledge of docker and Kubernetes

• Experience with claims-based authentication (SAML/OAuth/OIDC), MFA, and RBAC  

• Knowledge of cloud security controls including tenant isolation, encryption at rest, encryption in transit, key management, vulnerability assessments, application firewalls, SIEM, etc.  

• Experience building and supporting mission-critical technology components with DR capabilities  

• Experience with multi-tier system and service design and development for large enterprises  

• Extensive, real-world experience designing technology components for enterprise solutions and defining solution architectures and reference architectures with a focus on cloud technologies.  

• Exposure to infrastructure and application security technologies and approaches  

• Familiarity with requirements gathering techniques.  

• Microsoft, TOGAF, Zachman, ITIL, CCNA, CISSP, PMP, etc. 

Preferred qualifications 

• Experience with configuration management and automation tools such as Ansible, DSC, Puppet, Chef, Salt, etc.  

• Experience with relational, graph and/or unstructured data technologies such as SQL Server, Azure SQL, Azure Data Lake, HD Insights, Hadoop, Cloudera, MongoDB, MySQL, Neo4j, Cassandra, Couchbase  

• Software development full lifecycle methodologies, patterns, frameworks, libraries, and tools  

• Knowledge of programming and scripting languages such as JavaScript, PowerShell, Bash, SQL, Java, Python, etc.  

• Experience with data ingestion technologies such as Azure Data Factory, SSIS, Pentaho, Alteryx  

• Experience with visualization tools such as Tableau, Power BI

• Experience with analytics tools including SPSS.  

• Experience with machine learning tools such as Azure ML, IBM, AWS, etc.  

• Experience in distilling complex technical challenges to actionable decisions for stakeholders and guiding project teams by building consensus and mediating compromises when necessary.  

• Experience coordinating the intersection of complex system dependencies and interactions. 

• Experience in solution delivery using common methodologies especially SAFe Agile but also Waterfall, Iterative, etc.  

• Demonstrated knowledge of relevant industry trends and standards 

Why we're a great company
We are an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. We are committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation.