The project requires data acquisition into Azure, creating data pipelines, normalize JSON data into relational format, model and design table structures. Analyzing data and identifying relationships is crucial, as is matching the data with another dataset to find patterns and relationships. The role involves creating combined datasets by using various matching and merging techniques and logics, building APIs to search the data, and building lightweight UI to enable search functionality for users.
Job listings
Deliver solutions by writing ETL packages, developing visualizations, performing data and statistical analyses, data warehouse and analytic solutions and administering systems to deliver information to the health system. Gather and scope requirements and recommend analytical solutions to meet business needs. Serve as a functional and content expert of pipelines to allow synthesizing of raw data into actionable information, including healthcare claims and eligibility data.
Seeking a Database Engineer with experience in SQL, Python, OOPs, and cloud-based database platforms, especially AWS RDS and Google BigQuery, responsible for designing, optimizing, and managing complex database systems and ensuring seamless data access, transformation, and integration within cloud environments. This is a hands-on technical role.
As the Data Engineering Lead, you'll be at the heart of Arine's Data Engineering team, blending hands-on development with leadership. You will lead a squad of Data Engineers to deliver high-quality, high-velocity customer data pipelines while maintaining existing ones. You will own end-to-end delivery, including project management, data quality, and timelines, and is accountable for both team output and your own individual contributions.
The Senior Data Engineer will partner with function leaders to discover, plan, build, and monitor business automation. The responsibility is to create, manage, optimize, oversee, and monitor data pipelines that transform data from source systems, cleanse source data, and ultimately insert cleansed data into target systems, supporting data-driven decisions.
Play a key role in reshaping how Competer delivers solutions by conducting Exploratory Data Analysis (EDA) to uncover hidden patterns and formulate hypotheses. You will also design and analyze A/B tests, train and evaluate predictive models, map business requirements into machine learning problems, and communicate complex model outputs as clear, actionable insights.
The Staff Analytics Engineer will help build the foundation for scalable, reliable, and high-impact advanced analytics at Forma.ai. Working with diverse data from customers across a variety of industries, youโll build and optimize code for big data pipelines, architectures, and data sets. Youโll collaborate with various stakeholders within the business to scope out areas where the team can bring additional value, while managing competing priorities.
Help shape the future of data at Future. Define and guide the next phase of their analytics practice as they look to scale. Build effective dashboards, reports and data visualizations to surface key business metrics. Perform strategic analyses on large complex datasets and present insights to drive better business decisions.
As a Game Data Analyst, youโll uncover insights, shape product strategy, and optimize the performance of mobile games through advanced analytics and collaborative problem-solving. You'll enhance the player experience and drive the continued success of the live game portfolio in a fast-moving, competitive market by empowering self-service analytics and conducting advanced analyses.
As a Senior Data Scientist at Zapier, you'll help build the systems and tools that turn insight into action. Your work will shape how they understand users, optimize operations, and scale their go-to-market strategies. This is a high-impact opportunity for someone who blends technical excellence, product thinking, and a passion for building AI-informed, insight-driven systems.