Data Engineer Lead

Title: Data Engineer LeadReports to: VP of Data AnalyticsLocation: Company Based out of Burlington, MAJob Type: Remote or hybrid (We're built to work from anywhere) (we do not offer C2C or C2H positions)Status: Full-TimeAboutAt Prendio-BioProcure, we are dedicated to helping scientists and biotech researchers develop novel therapies and cure diseases as quickly and cost-effectively as possible. Our software enables scientists to find, select, order, and obtain the products and services they need to support their research, highly efficiently and at lower cost. Our services allow biotech companies to leverage best-in-class procurement and accounts payable teams in a turn-key fashion, benefiting from decades of experience and expertise. As a result, biotechs can focus on science and improve their opportunity to bring therapies to market.We are building a company of driven team players who are intellectually curious, eager to learn and pursue growth, and have the stamina to make an impact in our fast-paced environment. We value high-performance teams that are built around the following competencies:Innovative: We believe that rethinking the status quo is imperative and that new ideas can and should come from everyone on the team.Collaborative: Every interaction, whether with a client or a colleague, should be impactful, and respectful and leave them excited to deal with you again.Execution-Oriented and Accountable: The kind of change that is necessary will not come without breaking a few eggs, so we have the courage to be adventurous and try new things, but we also admit when something is not working, own it and do it better the next time.Job SummaryPrendio is seeking a dynamic and highly skilled Data Engineer Lead to become the technical owner of our data platform. In this pivotal role, you will manage the infrastructure and tools that power our data-driven decision-making, ensuring exceptional access, uptime, and performance. If you thrive in a fast-paced, high-performance culture and excel in navigating complex challenges with adaptability, resilience, and a passion for learning, this role is designed for you.Prendio's high-growth environment rewards those who are eager to push boundaries and embrace innovation. While the expectations are high, the opportunities for impact and professional growth are unparalleled for the right candidate.Role & ResponsibilitiesDevelop data integrations and robust data pipelines to support BI reporting, advanced analytics, and AI/ML initiatives.Design and document data models, data flows, and data architectures that are scalable and future-proof.Mentor and guide junior data engineers, fostering a culture of collaboration, innovation, and continuous learning.Partner with product managers, software engineers, data scientists, and analysts to scope and implement technical solutions that address complex business challenges.Requirements and skillsProven expertise in developing and managing data warehouses and related technologies; experience with Snowflake is a significant plus.Hands-on experience in designing and maintaining ETL/ELT pipelines and data integrations.Proficiency in Pythonand SQL, with a strong foundation in data engineering best practices.Experience with dbt(a plus) and operating within an AWS environment (preferred).A demonstrated track record of delivering complex analytical use cases that drive business value.Familiarity with AI/ML use cases is advantageous.Exceptional adaptability, problemBenefits:Blue Cross Blue Shield Health Insurance - 100% of employee premiums paidBCBS Dental insurance - 100% of employee premiums paidVSP Vision CoverageFlexible Spending Account HealthcareHealth savings account with employer contribution401K/Roth 401kPaid holidaysPaid vacation/Unlimited PTOOther benefits, including a complimentary subscription to the Calm app, pet insurance, legal assistance and more Website - within BioProcure/Prendio is based on manager discretion and other company considerations. This job description does NOT constitute an employment agreement between the employer and employee and is subject to change by the employer as the organizational needs and requirements of the job change.

Created: 2025-02-19