Healthcare Data

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.

Lead Data Scientist | Houston, TX | $125K–$140K + Equity + Hybrid Flexibility

Lead Data Scientist

Location: Houston, TX (Onsite)
Level: Senior
Reports To: Director of Data Science
Salary Range: $125,000 – $140,000 (USD)
Benefits: Medical, Dental, Vision, Life Insurance, Retirement, Equity, Paid Time Off, Work From Home Flexibility

About the Role

We are seeking a Lead Data Scientist to spearhead transformative projects that drive impact across the organization. This is a hands-on leadership role where you’ll design advanced models, mentor a team of talented data scientists, and partner with senior stakeholders to solve complex challenges. If you thrive at the intersection of technology, business strategy, and innovation, this role offers the perfect platform to showcase your expertise.

What You’ll Do

  • Lead high-visibility projects that directly influence business strategy and decision-making.

  • Develop and deploy custom algorithms, models, and predictive analytics that unlock value from complex data sets.

  • Translate technical insights into clear, compelling stories for executive-level audiences.

  • Mentor and coach junior data scientists, elevating the technical capabilities of the team.

  • Research and implement cutting-edge machine learning techniques to improve operational performance.

  • Partner with cross-functional teams to identify opportunities, resolve data challenges, and optimize processes.

  • Stay at the forefront of emerging tools and vendors, recommending best-fit solutions.

What You Bring

  • 7+ years of professional experience in data science, with proven project leadership.

  • Strong background in machine learning, advanced statistical modeling, and SQL database management.

  • Experience in healthcare data, EHR systems, or financial/revenue cycle data preferred.

  • Demonstrated ability to design scalable solutions using AWS (certification required).

  • Hands-on expertise in Cogito and other data management platforms.

  • Exceptional communication skills – able to engage both technical teams and executive stakeholders.

  • A problem-solving mindset with the ability to thrive in fast-paced, multidisciplinary environments.

Interview Process

  1. Recruiter Interview

  2. Hiring Manager Interview

  3. Panel Interview

Why Join Us?

Here, your work won’t just be about numbers – it will be about impact. You’ll have the chance to combine advanced data science with real-world problem solving, shaping decisions that matter.

We celebrate growth, encourage innovation, and foster a culture of collaboration. You’ll be supported by mentors, inspired by peers, and empowered to chart your own career path. Our workplace has been consistently recognized as one of the Top Workplaces in the region, a testament to our values-driven culture and commitment to meaningful work.

Benefits at a Glance

  • Comprehensive medical, dental, and vision insurance

  • Life insurance and retirement plans

  • Equity opportunities

  • Generous paid time off

  • Flexible work-from-home options

 

Your new job awaits.

Start the process →