This role plays a critical part in designing, developing, and maintaining Reports and Dashboards that support Medicaid analytics, federal reporting, and enterprise decision support. The ideal candidate brings strong Tableau and Python engineering expertise, experience working with
Job Summary: We are seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation enterprise data platform on Microsoft Azure. You will own end-to-end delivery of data pipelines and data products that
Description At CSpring, we believe in the power of people and data to drive real-world impact. We’re a purpose-driven consulting firm that helps organizations solve complex business and technology challenges through modern data, analytics, and engineering
FocusKPI is looking for a Marketing Operations Analyst to join one of our clients, a high-tech SaaS company. As a Marketing Operations Analyst on the Marketing Operations & Technology team, you’ll help share the clients marketing
Come join our amazing team and work remote from home! What youll do: Under direct supervision, responsible for assisting in the efforts to design, develop, and maintain databases and data integration (ETL) systems to support business
Job Description The Role As a Senior Ad Ops Engineer within the Marketing Applied Sciences organization, you will be responsible for architecting and developing advanced, well managed, and reusable data products that support marketing activation, analytics,
Sumitomo Pharma Co., Ltd., is a global pharmaceutical company based in Japan with operations in the U.S. (Sumitomo Pharma America, Inc.), focused on addressing patient needs in oncology, urology, womens health, rare diseases, cell & gene
Become a part of our caring community The Senior Data Engineer designs, builds, and maintains data processing solutions that enable the efficient transformation of structured and unstructured data into meaningful insights. Working closely with engineers and
Key responsibilities include: Partner with Cybersecurity leaders, risk stakeholders, and nonCyber teams to define and deliver datadriven Cyber use cases, aligned to enterprise risk priorities and frameworks (e.g., NIST CSF). Leverage scalable data pipelines, models, and