Staff data engineer at Velocity Tech
Staff data engineer
Velocity Tech
United States of Americaexpert3 weeks ago
Full Timeremote1-3Years
$126,340/year
Job Description
As a Staff Data Engineer, you will play a crucial role in empowering our mission to revolutionize healthcare access through data innovation. Your expertise will drive the integration and optimization of diverse data sources, enabling seamless interactions that enhance patient care and outcomes. This is an opportunity to make a meaningful impact in the healthcare sector, where your work will directly influence how individuals manage their health. In your day-to-day work, you will collaborate closely with cross-functional teams to design and implement robust data pipelines and architectures. Utilizing technologies such as Apache Spark, SQL, and cloud platforms like AWS or Azure, you will ensure data integrity and accessibility. You will also engage in troubleshooting and optimizing existing systems, ensuring they scale efficiently to meet our growing needs. Your analytical skills will be vital in transforming complex data into actionable insights. Join a rapidly growing team of passionate professionals who are dedicated to making a difference in healthcare. You will have opportunities for mentorship and professional development, enhancing your skills in data engineering while contributing to impactful projects. We believe in fostering an inclusive environment where every team member's voice is valued. This role stands out as it combines technical expertise with a mission-driven focus. You will not only be a key player in our data initiatives but also contribute to a transformative vision that improves lives through better health data management.
Responsibilities
Design data pipelines that efficiently process and transform large datasets for analytics. Build scalable data architectures that support real-time data processing and analytics. Lead the integration of diverse data sources into a unified data platform. Architect robust solutions for data storage, retrieval, and management using cloud technologies. Drive data quality initiatives to ensure accurate and reliable data for decision-making. Collaborate with cross-functional teams to identify data needs and implement solutions. Optimize existing ETL processes to enhance performance and reduce latency.
Key Skills
AWS
15%
SQL
15%
Azure
15%
Apache Spark
15%
ETL Processes
10%
Benefits
Competitive salary and comprehensive health benefits for employees and their families. Retirement savings plan with company matching to secure your financial future. Flexible work hours and remote work options to maintain a healthy work-life balance. Generous paid time off policy to recharge and spend time with loved ones. Access to continuous learning programs and career advancement opportunities. Regular workshops and conferences to enhance your professional skills. Inclusive company culture that values diversity and encourages collaboration. Fun team-building activities and employee wellness programs for a vibrant workplace.
