Key ResponsibilitiesDesign and implement technical solutions that align with customer needs and enterprise platform requirementsProvide leadership and mentoring in engineering methodologies such as Ag...
read moreKey ResponsibilitiesManage database architecture, engineering, design, optimization, security, and administrationDevelop data models, perform ETL processes, and handle data warehousing tasksAnalyze bu...
read moreCollaborate with cross-functional teams, including Data Scientists, Software Engineers, Data Engineers, and Data Analysts, to understand data requirements and translate them into technical specificati...
read moreImplement and manage cloud-based data solutions, ensuring data security and scalability. Monitor and troubleshoot data pipelines to ensure data integrity and availability. Utilize Python for data mani...
read moreAs a Snowflake Data Engineer, you will be responsible for designing, building, and maintaining large-scale data warehouses using Snowflake, a cloud-based data warehousing platform. We are seeking an e...
read moreThe person hired for this position will work with a team of Web programmers, Data Engineers, Data Architects, GISPs, Power BI designers, and subject-matter experts that are located on the east coast. ...
read moreGEI Consultants has an opening in our Operational Development Team for a qualified Data Engineer to support a variety of systems and data engineering tasks focused on data flow activities. Develop and...
read moreCollaborate with product manager & product engineers, data owners, data stewards & customers to implement & maintain data products to serve analytics, ML & reporting needs. Squarespace is looking for ...
read moreHere at Appian, our core values of Respect, Work to Impact, Ambition, & Constructive Dissent & Resolution define who we are.In short, this means we constantly seek to understand the best for our custo...
read moreTrain & mentor data scientists & data engineers in analytics engineering best practices. Partner with Engineering to validate updates to raw financial data structure within an evolving production syst...
read moreWorking with cloud-based application development, & be fluent in at least a few of: Cloud services providers like AWSData pipeline orchestration tools like Airflow, Dagster, Luigi, etcBig data tools l...
read moreWorking with cloud-based application development, & be fluent in at least a few of: Cloud services providers like AWSData pipeline orchestration tools like Airflow, Dagster, Luigi, etcBig data tools l...
read moreOur Senior Engineer is a key member of the engineering staff working across the organization to provide a friction-less experience to our customers and maintain the highest standards of protection and...
read moreThe of The New York Times is to seek the truth & help people understand the world.That means independent journalism is at the heart of all we do as a company.Its why we have a world-renowned newsroom ...
read moreData Engineer to join our dynamic Data Ops team. Partner with product engineering teams to enhance the efficiency of product analytics clients & data collection mechanisms. Work collaboratively with o...
read moreStrong understanding of traditional relational databases, data and dimensional modeling principles, and data normalization techniques. Must have a passion for data and helping the business turn data i...
read moreUtilize your passion for data exploration to produce high quality, accurate data and/or reports with visualizations to empower outstanding business decisions. Our Senior Engineer is a key member of th...
read moreExperience and detailed knowledge with ETL, Data Quality, metadata management, Data Engineering, streaming data loads. Good understanding of data warehousing concepts, data integration, data quality a...
read moreLeadership & Design Skills: team leadership, Agile/SAFe, tech mentor, cloud engineering. Databases & Languages: AWS Stack (Aurora, S3, Redshift), PostgreSQL, SQL Server, Cloud SQL, Python.
MS Dynamics 365 functional / back end experience including solution design, data model experience, process optimization, and workflow analysis.