As the Senior Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to build out our core data pipelines, store data in optimal engines and formats, and feed our machine learning models. This is an individual contributor role.
This position plays a lead role in building and maintaining the Snowflake data warehouse environment, designing scalable ETL pipelines, and ensuring secure, efficient access to institutional data. The Data Engineer will collaborate closely with software engineers, institutional research, and the Office of Innovation and Enhancement to deliver reliable data solutions that support analytics, reporting, and strategic decision-making across the University.
We are seeking a highly skilled Lead Data Engineer with strong expertise in PySpark, SQL, and Python. The ideal candidate will have a proven track record of designing, building, and maintaining scalable data pipelines in a collaborative and fast-paced environment.
Collaborate with stakeholders to understand reporting needs and translate them into requirements. You'll design, develop, and maintain BI reports, dashboards, and data visualizations using BI tools like Tableau. You will optimize and enhance existing reports to improve data accuracy and visualization effectiveness, ensuring data consistency and quality in reports. This position will require data analysis and ad-hoc queries to support business decision-making.
You will be a key business partner to sales, marketing, and customer support teams, building and maintaining robust data products and pipelines. Conduct advanced analyses using SQL and statistical tools to uncover trends, patterns, and opportunities. You will need to work closely with engineering, data science, and technical teams, to ensure data quality.
Seeking a Senior Data Engineer to lead the design, development, and scaling of data migration and integration pipelines. You'll own the architecture and implementation of core ETL workflows that ingest, transform, and validate complex healthcare data. You'll work closely across engineering and customer success teams to automate and streamline processes, ensuring data quality and compliance.
As a Senior Data Engineer, you will participate in analyzing data, deploying new claims sources, and interacting with internal and external staff to empower meaningful improvements in healthcare. You will perform varied analyses to support organization and client improvement and data validation tests to ensure quality. The role involves managing client projects and ensuring they are executed efficiently according to project requirements and timelines.
Drive data initiatives across go-to-market functions by designing scalable data solutions and taking a leading role in diverse operations projects including territory planning and forecasting. Translate business needs into clear metrics, and serve as an analytics partner to Sales, Marketing, and Product teams. Develop complex SQL queries and data models to support analytical use cases, build and maintain dashboards, and improve the accessibility and quality of data.
Responsible for the Data Mining and Machine Learning to optimize engagement by conducting in-depth historical data analysis to uncover complex patterns and seasonal trends. Generate actionable insights on customer demand to develop strategic recommendations. Leverage knowledge gained from advanced data patterns to help the customer create their marketing strategies and improve campaign performance metrics.
As a Staff Analytics Engineer, you will be an early member of the Data & Analytics team, building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Product, GTM, Finance, Support and other areas to build scalable solutions to transform data into key metrics, reporting, and insights.