Your opportunity

Data sits at the core of services we deliver to our patients and physicians. The Senior Data Engineer will work as part of the team responsible for ensuring that the data infrastructure is robust, scalable, and secure, enabling the organization to effectively use data to drive insights and make informed decisions. You will be responsible for designing, building, and maintaining scalable data systems that support the organization's business objectives. You will work with cross-functional teams to ensure data is collected, stored, processed, and analyzed in a timely, efficient, and accurate manner.

What You Will Do

• Design, build, and maintain data pipelines to support business needs

• Work with cross-functional teams to understand data requirements and ensure data quality

• Implement data storage and processing systems that scale to handle large data sets

• Building and maintaining data pipelines to ingest data from various sources and ensure data is properly formatted for analysis.

• Develop and maintain data models, dictionaries, and metadata

• Collaborate with data scientists and analysts to understand their data needs and ensure that the data systems support their requirements.

• Develop and maintain documentation for data systems, processes, and procedures

• Implementing data quality control processes to validate and clean data before it is used for analysis.

• Designing and implementing security measures to protect sensitive data and ensure data privacy.

• Build monitoring alerts and dashboards to track data pipeline health, system performance, and key metrics—enabling early issue detection and clear visibility for stakeholders.

• Optimizing data systems for performance and scalability to ensure the data infrastructure can support the organization's growing needs.

• Staying up to date with the latest tools and technologies in data engineering to continue to support the organization's data-related needs.

Qualifications:

• Bachelor's/MS degree in computer science (preferred)

• 5+ years of experience in data engineering or a related field

• 2+ years working with clinical data in the healthcare domain

• Strong understanding of data lake, data warehousing, data modeling, and SQL

• Strong professional experience with Python

• Experience with big data technologies such as Databricks, DBT, Spark, databases

• Knowledge of orchestration technologies such as Airflow

• Experience with cloud computing platforms such as AWS

• Strong problem-solving and analytical skills

• Excellent written and verbal communication skills

• Demonstrates a cohesive team-first mentality with a consistently positive and proactive demeanor

Perks/Benefits

• Competitive base compensation

• Annual bonus potential

• Health benefits effective on start date; 100% coverage for base plan, up to 90% coverage on all other plans for individuals and families

• Health & Wellness Program; up to $300 per quarter for your overall well-being available on start date

• 401K plan effective on the first of the month after your start date; 100% of up to 4% of your annual salary

• Unlimited (or generous) paid "Vytal Time", and 5 paid sick days after your first 90 days

• Company paid STD/LTD

• Technology setup

• Ability to help build a market leader in value-based healthcare at a rapidly growing organization

Please note at no time during our screening, interview, or selection process do we ask for additional personal information (beyond your resume) or account/financial information. We will also never ask for you to purchase anything; nor will we ever interview you via text message. Any communication received from a Vytalize Health recruiter during your screening, interviewing, or selection process will come from an email ending in @vytalizehealth.com