Embark on an exciting journey into software development! As a Data Engineer, you'll be crucial, actively contributing to projects that reshape data analytics for clients, providing them a competitive edge. Responsibilities include writing code, implementing solutions, building ETL processes, ensuring data quality, and debugging to fix defects.

Support data analytics, data warehousing, ETL processes, and data modeling functions using SQL, Holistics, BigQuery/Google Cloud, Make, and Zapier to develop MVP-style solutions that enhance efficiency for both customers and internal teams.

The Data Analyst will develop and manage the requirements, design, and development of handling data coming from our partners in specific market channels. The analyst will work closely with business users to understand the customer data for the specific channel and develop approaches and plans to deliver on the requirements.

As Casechek’s Data Analytics Engineer, you will be responsible for building and optimizing data pipelines, developing robust data models, and enhancing analytics capabilities; you will partner with business teams to design scalable solutions and implement end-to-end analytics solutions using modern technical stack.

We are seeking an experienced Alteryx Developer with expertise in Alteryx DVW Connector, SAP workflows, and S4HANA. The ideal candidate will be responsible for developing, testing, and deploying Alteryx workflows, writing Process Design Documents (PDDs), and creating test scripts. Experience with Fiori Apps and SAP integration will be a significant advantage.

Collect data from various sources, designing and building efficient data pipelines using tools like Matillion, you'll integrate and consume data from external APIs to enrich data sets and contribute to the design of efficient architectures for handling large volumes of data.

Join EvolutionIQ as a Senior Analytical Data Engineer to build and scale our next-generation analytical data platform. You will shape our analytics strategy, design robust data models, and ensure data availability and accuracy. Collaborate with data scientists and engineers to deliver data-driven insights that drive critical business decisions.

Lead the development of modeling complex, real-world problems; complex data pipelines to support production systems; and efforts to bring machine learning algorithms into production. Monitor and maintain production machine learning data pipelines. Need 2+ years experience in machine learning model development.

Integrate data feeds from various healthcare data providers, analyze incoming healthcare data, ensure that the data meets specifications and write new SQL based pipelines to bring patient data into our platform. Troubleshoot existing pipelines using AWS services (EKS, Glue, S3), Databricks,  Datadog. Create tools and processes to facilitate data accessibility across products and data consumers.

Join Monte Carlo as a Solutions Architect, where you'll be a strategic technical counterpart to the Success team, defining project scope and delivering Monte Carlo implementations for enterprise customers; you'll need 3-5 years of experience in a technical role and a firm understanding of cloud data warehousing and SQL.