Senior Data Engineer (Healthcare Data & AI) Amaris Consulting - 3.0 Cambridge, MA Job Details 2 hours ago Qualifications Data integrity assurance Athena Data Integration (Data management) Automation Data validation techniques XML SAS Amazon SageMaker AI platforms (beyond public GPTs) SAS language Bash SQL Jupyter Machine learning cloud services Data quality monitoring Jupyter Notebook Technical troubleshooting support Cross-functional collaboration Cross-functional communication Database software proficiency Full Job Description Job description We are looking for a Senior Data Engineer to join a multidisciplinary team focused on healthcare data engineering, analytics, and AI-driven solutions. In this role, you will work with large-scale physiological, medical device, and electronic medical record (EMR) datasets to support data quality, predictive modeling, and advanced analytics initiatives. You will collaborate with data scientists, software engineers, biomedical specialists, and IT teams to ensure reliable data pipelines, investigate data integrity issues, and contribute to the development and validation of machine learning models. Location Cambridge, Massachusetts, USA (On-site) Key Responsibilities Retrieve, explore, and analyze data stored in Amazon S3 using AWS Athena and Amazon SageMaker. Perform data wrangling by identifying missing data, time synchronization issues, anomalies, and measurement artifacts. Transform and parse CSV and XML datasets into scalable databases such as InfluxDB. Develop and maintain batch processing workflows using Python and Bash to inventory, process, and validate incoming device data. Investigate data quality issues through Athena, SageMaker, and Jupyter Notebooks to identify problems related to data curation, system configuration, storage, or performance. Troubleshoot data transfer and collection issues in collaboration with biomedical teams, IT stakeholders, and internal engineering teams. Analyze physiological, vital sign, and EMR datasets to support predictive analytics and AI/ML model development. Validate statistical and machine learning outputs by comparing Python-generated results with SAS analyses produced by biostatistics teams. Simulate retrospective healthcare datasets using a Virtual Hospital Simulator to evaluate and test surveillance algorithms. Contribute to continuous improvements in data engineering processes, data quality, and analytical workflows. Required Qualifications 7-10 years of experience in Data Engineering, Data Analytics, or a related technical field. Strong proficiency in Python for data processing and automation. Experience with AWS services, particularly Amazon S3, Athena, and SageMaker. Experience working with Jupyter Notebooks. Solid understanding of ETL processes, data transformation, and data validation. Experience handling structured and semi-structured data formats, including CSV and XML. Familiarity with batch scripting using Bash. Strong analytical and troubleshooting skills with a focus on data quality and integrity. Experience working with SQL and large datasets. Excellent communication and collaboration skills in cross-functional environments. Nice to Have Experience with InfluxDB or other time-series databases. Knowledge of AI/ML workflows and predictive analytics. Experience working with physiological, medical device, or EMR data. Familiarity with SAS and statistical validation processes. Experience in the healthcare, medical technology, or life sciences industry. Exposure to biomedical data analysis or clinical data environments. Why choose us An international community bringing together more than 110 different nationalities An environment where trust is central: 70% of our leaders started their careers at the entry level A strong training system with our internal Academy and more than 250 modules available A dynamic work environment that frequently comes together for internal events (afterworks, team buildings, etc.) Amaris Consulting promotes equal opportunities. We are committed to bringing together people from diverse backgrounds and creating an inclusive work environment. In this regard, we welcome applications from all qualified individuals, regardless of sex, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics. Who are we? Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different

Business Lines:

Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success. At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:

Brief Call:

Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you! Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know

Amaris:

our culture, our roots, our teams, and your career opportunities!

Case study:

Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc. As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience. We look forward to meeting you!