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.
Seeking a highly skilled and experienced Senior Data Engineer to join the Data Engineering team at Smartsheet. The ideal candidate will have a strong understanding of data pipeline architecture, data warehousing, and business intelligence and will be responsible for designing, building, and maintaining data pipelines that support Smartsheet's business operations and analytics.
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.
As an Analytics Engineer in the Deel IT product vertical, you’ll help build and maintain a scalable and efficient data infrastructure that supports reporting and decision-making. You’ll lead the migration of analytics pipelines and develop reliable, scalable data models. The role works closely with engineering, product, business, and operations teams.
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.
As a Staff Data Model Engineer, you will work with a fast-moving, ambitious team, building our data-centric, AI-driven Contract Lifecycle Management software solutions. You will collaborate with product domain experts, application software engineers, and Cloud Ops engineers, to architect, build, maintain and optimize data models, databases, and data centric services.
Within the data platform engineering group, you will help us design, build, and operate our data services infrastructure which is at the core of our data-driven culture. You will take responsibility for the quality of the code produced and for all aspects of software engineering, from design to implementation, QA, and maintenance.
We are looking for a talented Senior Software Engineer who is passionate about building products that customers love to use. You’ll work with truly remarkable colleagues on complex problems at enterprise scale, quality, and reliability. You’ll build a state-of-the-art time series data platform, RevDB, that powers the best-in-class enterprise product suite that’s loved by our customers.
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.