Data Ops Engineer

Data Ops Engineer - 100% REMOTE @ Growing Healthcare AI Startup! This Jobot Job is hosted by: Luke Swift Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $65,000 - $80,000 A bit about us: Based in Boston, MA, We are the leading provider of real-world data and AI solutions to the pharmaceutical community. By bridging the gap between biotechnology and AI, we aim to significantly improve patient outcomes. We are backed by the largest AI-focused investment firm in the world and ready to add to our growing engineering team. Help us revolutionize the way healthcare is delivered through innovative solutions with data and intelligence! We are looking for a technical, service-oriented, talented 100% REMOTE Data Operations Engineer. In this challenging position, you will use the latest technologies in distributed computing to run our data pipeline processes on large-scale data. These pipeline processes span ingesting, scrubbing, suppressing, codifying and publishing. The ideal candidate should be well-versed with data analytics, ETL processes, SQL, scripting languages (Python), cloud technologies (AWS). A background in healthcare working with healthcare data analytics products or experience with NoSQL is highly desired, but not a required. Why join us? Competitive Base Salary! Opportunity to research next generation tools and technologies. Exposure to a team of highly talented Data Engineers, Data Scientists and Clinical Product Managers. Job Details Day to day: Execute data pipelines and other data service requests. Triage and resolve data pipeline issues. Run data quality reports and perform data improvement interventions. Monitor the progress of data flow and report status to a broader team. Attend daily standups, report status, plan next set of service tasks. Identify and implement new processes and scripts to improve efficiency and quality. Serve as a technical resource in resolving questions related to databases or other data issues. Requirements 4+ years of Software Development experience in a Data Ops Engineering capacity (preferred) At least 2+ years’ of extensive experience running ETL processes (in AWS preferably) Proficient with Python and/or similar scripting languages Advanced SQL skills (preferred) Organized, methodical and focused on detail Strong communication skills Strong analytical, organizational, and problem-solving skills Comfortable working against timelines and managing multiple assignments Self-motivated and results-oriented Nice to haves/bonus points for (not required): Experience in healthcare industry with healthcare data analytics products is highly desired Experience running data pipelines with cloud technologies such as AWS (preferred), GCP, and/or Microsoft Azure is highly desired Experience with MongoDB and other NoSQL databases is highly desired Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.