Analyze and translate business requirements into efficient database designs. Create database models using tools like ERD diagrams. Utilize common database design patterns and data integration techniques. Implement indexing techniques and data security best practices. Work closely with stakeholders, developers, and architects to ensure the database design meets the project requirements.
Job listings
A Data Scientist focused on Large Language Models is needed to join the AI R&D team. You will design, train, and optimize LLMs that power real product features and internal tools. This role involves work on everything from architecture and data preparation to multi-scale training and evaluation.
Be part of Extend's Claim Analytics team within our centralized Risk, Analytics and Data Science team, focused on driving operational efficiency and managing risk by surfacing actionable insights and enabling data-informed decision-making. You will identify high-impact opportunities to improve claim operations, servicing and fulfillment processes by analyzing trends, surfacing gaps, and delivering actionable recommendations based on key performance metrics.
As the Senior Data Analyst, youβll play a pivotal role in uncovering the insights that shape company-wide planning, forecasting, and strategic decision-making. You will collaborate closely with stakeholders to build trust and deliver data-driven recommendations. This is a unique opportunity to deepen your analytics expertise in a dynamic, high-growth environment.
DAS42 is seeking a strategic and technically proficient Data Engineer Consultant to help clients unlock the full value of their data. This role involves designing and implementing scalable data solutions, from data models and ETL pipelines to cloud data warehouses and BI tools. You will advise clients across industries on optimizing data environments and translating business objectives into technical strategies.
You will design and deploy machine learning solutions to risk problems across a wide variety of features throughout the Eventbrite marketplace from transaction monitoring to account security to abusive language detection. You will leverage your familiarity with classic approaches or learn new ones to develop practical, durable solutions to trust issues.
ModMed is seeking a Data Engineer to help revolutionize Healthcare IT. Data engineers build and maintain the infrastructure that empowers analysts and data scientists to drive insights. The role involves developing and maintaining data pipelines, guiding data infrastructure design, and liaising with engineering and product teams.
Weβre seeking a Staff Data Engineer to help lead our Data Engineering practice and take our data architecture into the future. Youβll be supporting our efforts to modernize our data stack and build our lakehouse to enable broad data access to BI, Machine Learning, and Engineering teams at Postscript. Youβll be creating an Apache Iceberg data lakehouse and prerequisite data pipelines to unlock global data access across Postscript.
Support studies on miner overclocking and underclocking. Analyze energy utilization and identify optimization opportunities. Rank mining hardware based on performance across various tasks. Collect and clean data from multiple sources. Build and maintain data pipelines for analysis. Perform exploratory data analysis and generate insights. Develop dashboards to visualize key metrics. Assist in building machine learning models and optimizers.
Spark is seeking a Data Analyst II to join our data team to build robust analytics that power our business insights and decision-making. You will be responsible for partnering with stakeholders to understand their data needs, building dashboards and reports, and conducting analysis that drives product and business decisions. You'll focus on translating business questions into analytical solutions and conducting deep-dive analyses.