Job summary
Job post source
This job is directly from Care Access
Job overview
The Senior Data Engineer at Care Access is responsible for designing and maintaining robust data pipelines to support clinical and business data needs, playing a key role in advancing medical research through data infrastructure.
Responsibilities and impact
The role involves designing scalable data pipelines, optimizing data storage and processing, collaborating with cross-functional teams, mentoring junior staff, and continuously improving data engineering workflows using tools like Databricks, SQL, and Azure.
Compensation and benefits
The position offers paid time off, company-paid medical, dental, and vision insurance, health savings and flexible spending accounts, disability insurance, and a 401(k) retirement plan with company match.
Experience and skills
Candidates should have 5+ years of data engineering experience, expertise in Databricks, SQL, Python, dbt, and cloud platforms like Azure, plus familiarity with CI/CD and orchestration tools such as Airflow or Azure Data Factory.
Work environment and culture
Care Access values diversity and inclusion, fostering an inclusive culture where employees from diverse backgrounds feel valued and respected, supporting a mission-driven environment focused on advancing medical breakthroughs.
Company information
Care Access is a multi-specialty network of research sites focused on clinical trials, combining patient care with cutting-edge treatments and research to accelerate medical advancements.
Job location and travel
This is a remote position with less than 10% travel required, allowing work from a remote office environment.
Unique job features
The role offers autonomy with limited supervision, involves working with diverse data types across clinical and operational domains, and includes opportunities to implement modern data engineering practices and tools in a mission-driven healthcare research setting.
Company overview
Care Access is a healthcare organization focused on revolutionizing clinical trials by making them more accessible and efficient. They partner with pharmaceutical companies, biotech firms, and research institutions to streamline the process of bringing new treatments to market. Founded with the mission to bridge the gap between patients and clinical research, Care Access utilizes advanced technology and decentralized trial models to reach diverse populations. Their innovative approach not only accelerates drug development but also ensures that more patients can participate in and benefit from clinical studies.
How to land this job
Position your resume to emphasize your expertise in Databricks, SQL, dbt, Python, and Azure cloud ecosystems, highlighting your experience building scalable, production-grade data pipelines.
Focus on showcasing your ability to design and optimize data engineering architecture, including automation, orchestration tools like Azure Data Factory, and CI/CD pipelines, as these are key to the role.
Apply through multiple channels such as Care Access's corporate careers page, LinkedIn, and other job boards to maximize your chances of being noticed.
Connect with data engineering or analytics team members at Care Access on LinkedIn to learn more about the team culture and role specifics; ice breakers could include commenting on recent data initiatives or asking about their experience working with clinical trial data.
Optimize your resume for ATS by incorporating keywords from the job description such as 'data pipelines,' 'cloud data warehouses,' 'Databricks,' 'data ingestion,' and 'orchestration tools' to ensure it passes automated screenings.
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