Excella is looking for a Senior Consultant Data Engineer to play a key role in designing and building modern data solutions. They will develop robust, scalable, and sustainable data pipelines using batch and streaming technologies. The Senior Data Engineer will also collaborate with cross-functional teams to ensure data availability, quality, and integration.
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Carry out the analytics implementation and help define and follow best practices for our Adobe Analytics deployment. Work closely with internal stakeholders and partners to understand their requirements and instrument data capture accordingly. Help to ensure that both ingestion of Adobe data into our data lake and the integration of the Adobe stack is always working well.
We are looking for a highly skilled Data Engineer to join our team and contribute to the design, development, and optimization of data-driven financial solutions. The ideal candidate will have strong technical expertise and a collaborative mindset. You will develop and maintain robust data pipelines and scalable processing solutions, work with AWS services and collaborate with cross-functional teams.
Assists in the development and maintenance of the reporting infrastructure to help stakeholders gain insights in their advertising campaigns. Responsible for retrieving, compiling, and transforming data to create the intelligence layer leading to analysis and optimization of media investments. Manages the QA of data between media platforms and reporting outputs.
Transform how Blue Cross and Blue Shield of Nebraska delivers coverage to members. Design and implement scalable, cloud-based solutions for seamless enrollment. Build data platforms that enable consumer engagement and best-in-class experience. Be a member of a team responsible for ingestion frameworks, data pipelines to process large volumes of poly structure data, and model deployments; as well as understanding the strategic data roadmap and execution of the roadmap.
As a Senior Analyst in a well-funded Series B stage start-up, you will be defining our growth potential for years to come. You will be an integral part of Reserv’s data team, working with our customers to deliver high fidelity data and insights. For this role, we are seeking data analysts with strong Python and SQL skills, a curiosity for how claims work and how our systems work them, the ability to interface with customers from technical and non technical backgrounds and the ability to both run independently and collaborate with our engineering and operations orgs alike.
As Data Analyst in Operations at FINN, you will be at the heart of driving our business operations through data-driven insights. By leveraging advanced analytics tools and techniques, you will uncover trends, forecast outcomes, and provide actionable recommendations that validate the impact of strategic decisions. This role is perfect for a proactive problem solver who thrives in a data-rich environment and is passionate about using data to support strategic decisions.
As a Data and BI Analyst for the Stone Partner Program's management team, you will play a fundamental role in supporting the business area by building tools and analyses to improve performance and streamline our program's routines. If you are passionate about data and have the ability to translate it into business intelligence, come and join our team!
As a Machine Learning Engineer on the Data Engineering team, you’ll partner closely with the Data Science team to build out our foundational Machine Learning platform. You will build internal tools and services to accelerate UD’s model building and deployment process. You will lead technical initiatives, and drive results in a fast-paced, dynamic environment and lead code reviews to maintain code and data quality.
We're looking for a Senior Data AI Engineer to join our Data Engineering team and help us design, build, and scale AI features at Filigran. Your mission is to turn real-world security problems into intelligent product capabilities — from ideation to production — in a fully remote, high-trust environment.