Join our platform engineering team as a Data Engineer, where you will design, build, and maintain data pipelines and infrastructure that power our analytics and product features. This role requires a blend of strategic vision and hands-on technical skills. You will play a key role in shaping the foundation of Prepared’s engineering culture.
Design, develop, test, deploy, maintain, and improve data systems and services. Perform code reviews and collaborate with peers on software solutions. Collaborate with engineers and product managers to understand data needs. Participate in Agile ceremonies and troubleshoot and fix production issues as they occur. Collaborative with the technical team to solve complex technical and design issues.
As a Senior Data Engineer, you’ll architect and maintain a highly flexible, enterprise-scale data warehouse that accelerates insights and minimizes redundant work. Leveraging deep expertise in data modeling, governance and Big Data technologies (Hadoop, Spark, Hive, etc.), you’ll design end-to-end ETL pipelines, optimize performance, and build metadata and quality monitoring frameworks.
The Data Engineer will play a crucial role in advancing the CDC Foundation's mission by designing, building, and maintaining data infrastructure for a public health organization. Working within the Maine CDC’s Informatics team, the Data Engineer will deliver the architecture needed for data generation, storage, processing, and analysis. They will develop plans for data governance, policies and procedures, and documentation to set up a data lake/warehouse.
Help shape the future of healthcare data as a Senior Data Engineer for Accompany Health. Collaborate across the organization with various teams, including Product, Sales, and Clinical Operations, to rewire health care, driving change in healthcare by building products to integrate fragmented healthcare services. Architect and own our data platform strategy, lead the design and implementation of scalable data infrastructure, and create data tools for analytics and data scientist team members.
This role is ideal for someone who thrives at the intersection of data engineering and backend engineering, helping transform raw data into meaningful insights that drive business decisions across Sales and Revenue, Billing, Traffic, User engagement and behavior. Design and implement scalable data pipelines using Spark (Scala/PySpark) and manage workflows in Databricks.
Senior Data Engineers spend most of their time hands-on in the creation, feature development, and subsequent maintenance of NeueHealth properties. The more senior their level, the more that individual will assist in the continuous improvement of the team's productivity and overall design of our systems. Additionally, senior talent plays a key role in building and maintaining a culture which focuses on making sure every engineer progresses in their career in line with personal goals/expectations.
Looking for an experienced Data Engineer to provide data engineering expertise and support to various analytical products of LivePerson, and assist in migrating our existing data processing ecosystem from Hadoop (Spark, MapReduce, Java, and Scala) to Databricks on GCP. The goal is to leverage Databricks’ scalability, performance, and ease of use to enhance current workflows.
You'll have the opportunity to build the data infrastructure at the heart of the business, empowering others with data analysis and turning data into actionable insights. As a leader in the Data Team, you'll bridge business and product needs with data solutions, ensuring data quality and solution delivery.
The Data Warehouse Platform team is looking to hire a Staff software Engineer who is excited to solve large scale data platform and efficiency challenges. As a staff engineer, you will work within and across teams to create and improve scalable, fault tolerant, self-serve systems. You will also create and execute a strategy to ensure a high level of end-to-end data quality and help shape the data culture across all of Reddit!