State Farm embraces diversity and inclusion to ensure a workforce that is engaged, builds on the strength Intern, Modeling, Analytics, Engineer, Summer, Actuarial, Insurance, Business Services. ...
Senior Data Protection Engineer provides implementation, maintenance, and support services for enterprise data protection. Senior Data Protection Engineer. Senior Data Protection Engineers are responsible for end-to-end maintenance assessing, assessing change impact, identifying, and resolving issue...
The Data Engineer - Insights & Analytics is responsible for the development and implementation of data pipeline solutions to support the organization’s reporting, analytics, and other data needs. Flexible Work Policy: The work for the Data Engineer position is completed 100% remotely anywhere in the...
Catalyst Labs is a leading recruitment agency specializing in Artificial Intelligence, Machine Learning and Data Science. We take pride in standing out as the only agency in the sector operated by ML engineers. A Bachelors, Masters or PhD in Science, Engineering or a related field. Proven experience...
This role within the 'Data Engineering & Self-Service Products' team involves architecting and engineering analytic data solutions, including designing and developing data marts in Databricks using PySpark or Spark SQL, building interactive Power BI dashboards to visualize KPIs and trends, and creat...
As a Senior Software Engineer at GoHealth, you will play a key role in the development and enhancement of our Customer 360 platform and Delta Tables datalake in Databricks. Additionally, you will implement and maintain data validation and monitoring systems to uphold data quality and troubleshoot an...
The data engineer will review the existing solution and design a unified solution to transfer the data to data lake and data warehouse. Design and develop highly optimized and reliable enterprise level data pipelines to move data to data warehouse in real-time. Participate, collaborate and lead team...
Demonstrate advanced understanding in data engineering practices, including ETL (Extract, Transform, Load), data integration, reusable data pipelines, data management, data analytics, data visualization, and data science. Identify critical and emerging technologies, techniques, tools, data sources, ...
As a Lead Software Engineer on/in Data Management & Governance you will partner with product owners, tech leads, designers, engineers and delivery professionals to improve Data Management and Governance services. Experience in building scalable and stronger data pipelines to support data integra...
In this role, you will work within a team consisting of product managers, designers, software engineers, data scientists and other data engineers to deliver new products and features. Seen is looking for a Senior Data Engineer to join one of our various cross-functional teams. Ingest data from SFTP,...
Performs modeling of data sources and flows, works with data management staff to define an operational framework that will define, develop and implement policies and security frameworks to ensure precise and secure delivery of knowledge and information. Perform modeling of data sources and flows, wo...
As a Software Engineer at GoHealth, you will play a key role in the development and enhancement of our Customer 360 platform and Delta Tables datalake in Databricks. Additionally, you will implement and maintain data validation and monitoring systems to uphold data quality and troubleshoot any data-...
In partnership with other business, platform, technology, and analytic teams across the enterprise, design, build and maintain well-engineered data solutions in a variety of environments, including traditional data warehouses, Big Data solutions, and cloud-oriented platforms. Align with security, da...
Work with databases, data warehouses, and big data technologies to store and manage large datasets. Collaborate with data scientists and machine learning engineers to provide clean and structured data for model training and evaluation. Basic understanding of data engineering concepts and data pipeli...
Minimum 4 years of experience in DevOps, Groovy and Ansible. ...
Minimum 4 years of experience in DevOps, Groovy and Ansible. ...
Our Lead Network Design Engineers are required to be Subject Matter Experts within the fields of traditional, cloud, and software defined networking and can translate highly technical subjects to stakeholders whilst engaging, steering, and guiding mid-level Network Design Engineers in delivering net...
In the role of Principal Software Engineer in GenAI Quality, you will be responsible for spearheading the development and implementation of testing frameworks and quality assurance processes for our GenAI services. Minimum of 10 years of experience in software quality engineering and test automation...
The position is responsible for data extraction from internal and external databases, data analysis using SAS, designing surveys using Qualtrics, and reporting results using MS Word, Excel, PowerPoint, and other software. Extract and clean data from external sources and merge the data with the inter...
Experience in HCM systems and related data management and vendor management systems. ...
Data analysts are interpreters of data - gather data, manipulate it, identify useful information from it, and transform their findings into digestible insights using visualization tools. Drive data quality by validating data & metrics calculations, surfacing quality issues, documenting, and remediat...
Collaborate effectively with product managers, clinicians, data scientists, and software engineers. Professionals in healthcare, legal, business, tax, accounting, finance, audit, risk and compliance rely on Wolters Kluwer's market-leading information-enabled tools and software solutions to manage th...
The intermediate level incumbent works to adopt, expand, maintain, and optimize cloud usage across the organization through engineering support of cloud technologies and through automation builds and related technologies. The incumbent owns support and engineering of cloud solutions and must stay cu...
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The team is composed of Data Scientists, Machine Learning Engineers, Data Engineers working together to deliver models and services into production. By combining Crunchbase, private and behavioral data with machine learning systems, we learn to understand the underlying data needs to best assist the...