Data Engineer

About DrFirst

This is a great opportunity to be a part of a successful Healthcare IT company experiencing significant growth. We have proven products that address the leading causes of gaps in patient care, brand-name customers, significant growth opportunities and are backed by leading investors. Here you'll get to work with some of the smartest and most interesting people around; solving unique and complex challenges in healthcare on a scale matched by few companies.Over 300,000 healthcare professionals, 67,000 pharmacies and 60% of the healthcare IT vendors in the market depend on us every day to help them improve patient outcomes and reduce risk, by managing medication safety and efficiency, reducing clinical errors, and eliminating or overcoming the barriers to effective communication both within and outside healthcare facilities and organizations.Our culture is entrepreneurial, team oriented, collaborative, and fast-paced. If you get excited about stretching yourself in new ways, developing yourself to your fullest potential, and care about working with smart colleagues; we want to talk to you!

Position Overview

The Data Science team at DrFirst is a fast-paced, forward-thinking group dedicated to harnessing data to generate actionable insights that drive informed decision-making. As a Data Engineer, you will take a leading role in designing, building, and maintaining reliable data pipelines and solutions that integrate data from multiple sources. Your work will help improve the performance of new and existing solutions, enhance stakeholder insights, and ensure the quality and reliability of analytics and machine learning models. In this role, you will collaborate closely with other team members to optimize data workflows, ensure data accuracy, and maintain the integrity of our data warehouse.

Who will love this job

A Creative problem-solver with proven abilities to solve challenges using both traditional and non-traditional methods

A Detail-oriented closer who can effectively pick up projects near completion and bring them across the finish line with a high degree of accuracy

An Analytical thinker who views business problems at a high level and critically evaluates them to develop the best possible solutions

A driver who works with purpose and passion; someone who will elevate our team through new perspectives, ideas, and solutions

A Curious mind – strongly believes in continuous education and relentlessly pursues knowledge and excellence both in subjects of professional and personal interest

What you will work on

Data Engineering: Design, develop, and maintain production-grade ETL pipelines using Python and GitLab CI/CD to process healthcare data from multiple sources. Implement big data processing solutions using Apache Spark or PySpark to handle large-scale datasets efficiently.

Cloud Architecture: Configure and optimize AWS cloud services including Redshift, S3, Lambda, Glue, and EMR to build scalable data solutions. Ensure high performance, reliability, and security of cloud-based data infrastructure.

Healthcare Data Integration: Extract, transform, and load data from various healthcare systems including e-prescription workflows, and pharmacy fill/claim data sources. Ensure data compatibility and integrity across systems.

Problem-solving: Address unique and complex healthcare data challenges through critical thinking, root cause analysis, and collaborative issue resolution. Develop innovative solutions that enhance data quality and accessibility.

Data Quality & Governance: Perform thorough code and data reviews to certify projects as 'production-ready'. Implement data validation processes to ensure accuracy and compliance with healthcare data standards.

Collaboration & Communication: Document data pipelines and technical requirements. Work closely with the Data Analytics team to fulfill data extraction requests and provide properly structured data that enables stakeholders to derive actionable insights.

Innovation: Identify opportunities to leverage healthcare data in new ways. Develop prototypes and data models that enhance existing product suite capabilities and improve patient outcomes.

Qualifications

Qualifications

Bachelor's degree in a quantitative field (Data/Business Analytics, Mathematics, Statistics, Computer Science, Engineering).

3+ years of experience with healthcare data ecosystems (EHR systems, e-prescription workflows, pharmacy data) and HIPAA compliance.

Expertise in database design, architecture, SQL optimization, and big data processing using Apache Spark or PySpark.

Proficiency with AWS cloud services (Redshift, S3, Lambda, Glue, EMR) and data orchestration tools (Airflow, AWS Step Functions).

Experience developing ETL pipelines with Python and CI/CD in GitLab or similar platforms.

Highly organized with strong attention to detail, ability to write data requirements for technology products, and proficiency in extracting and structuring healthcare data for actionable insights and improved patient outcomes.

Experience documenting data pipelines, communicating technical requirements, and collaborating with cross-functional teams.

Physical Requirements

75% Desk work

25% Phone work

#LI-GF1 #LI-Remote

Benefits

Competitive compensation, with a base salary of $100,000 - $140,000 (Exact compensation may vary based on skills and experience)

Eligible for a Discretionary Performance-based bonus

Medical, dental, and vision insurance

401K eligible after 3 months of employment, with 50% company match up to first 5% of salary contributed to the plan with a 3-year vesting schedule

HSA for eligible employees enrolled in the HDHP, with a generous company contribution up to $500 for individual coverage and $1000 for family coverage per year

100% company paid short and long-term disability, AD&D, and group life insurance

Accrued annual paid time off (PTO) of 18 days for the first 3 years of service, increasing thereafter and 7 paid holiday days

Employee Assistance Program

Continuing Education funds up to $1500 annually for eligible programs after 1 year of service

Voluntary benefits including FSA, Hospital indemnity, Accident and Critical Illness insurances

DrFirst is committed to being a Remote-First company, creating a dynamic and flexible workplace where everyone can thrive, no matter where they log in from. Check out our approach to remote work

Our recruitment process at DrFirst is straightforward and secure. You will only be contacted by our recruitment team through an official @drfirst.com email address. We will never ask you for payment or sensitive personal information, such as your social security number or banking details, at any stage of the hiring process. Additionally, we will not request that you purchase equipment or accept e-checks or checks for deposit. If you encounter any communications claiming to be from DrFirst that seem suspicious, please contact our recruitment team directly at to verify the message's authenticity. Your security is important to us!

Learn more about our benefits and professional development opportunities

Regular Full-Time