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Top Remote Data Engineer Jobs in Phoenix, AZ
Artificial Intelligence • Healthtech • Software
The Senior Data Engineer will manage the ingestion, validation, transformation, and storage of healthcare data. Responsibilities include designing scalable data pipelines using Databricks and PostgreSQL in AWS, maintaining data quality standards, optimizing performance, and mentoring team members while collaborating across departments to meet data needs.
Top Skills:
Aurora PostgresqlAWSDatabricksPostgresPysparkSpark
Fintech
The Associate Director, Modeling and Data will lead statistical model development and validation focused on credit risk and marketing. Responsibilities include managing a team, monitoring model performance, exploring data for growth opportunities, and ensuring compliance with model governance in a fully remote environment.
Top Skills:
A/B TestingPythonRSQLStatistical ModelingTree-Based Classification Algorithms
Information Technology • Other
As a Senior Machine Learning Engineer at Concurrency, you'll design and engineer ML systems, collaborating with data science teams to solve diverse customer problems. You'll leverage your expertise in supervised, unsupervised, and deep learning, using tools like Python and SQL, while influencing project direction and designing production solutions in a cloud development environment.
Top Skills:
AzureDatabricksDockerKubernetesPythonPyTorchSparkSQLTensorFlow
Information Technology • Consulting
The Data Engineer will design and implement data pipelines and analytic infrastructures, develop Python and SQL components, maintain cloud infrastructure, create data models, and work collaboratively to improve product features while coordinating various projects.
Top Skills:
Amazon CloudCircleCIDockerGitGCPHubspotLambdaLinuxLookerMySQLPostgresPythonRedshiftSalesforceSnowflakeSQLTerraformVscodeZendesk
Software
As a Data Engineer at Verifiable, you will design and implement data automation and monitoring solutions, ensuring high availability of data environments. Your role includes data collection, analysis, modeling, visualization, and collaborating with teams to integrate insights into business strategies. You will leverage your expertise in Python, SQL, and DBT to maintain stable data flow solutions.
Top Skills:
Data ModelingData VisualizationDbtPythonSQL
Edtech
As a Senior Data Engineer at Apptegy, you'll develop and optimize data ingestion and architecture, collaborate with key teams to enhance data-driven features, build robust ETL pipelines, and support stakeholders with technical data challenges.
Other
The Senior Data Engineer designs and develops data pipelines for ingestion from various databases and services, builds Data Lakes on AWS, and applies analytics using tools such as AWS Glue and Python. This role also involves creating MarkLogic integrations and working in an Agile environment, contributing to data architecture and software lifecycle processes.
Top Skills:
Artificial IntelligenceAthenaAuroraAws GlueAws S3Db2EmrGitInformaticaJavaScriptJSONKafkaKinesis AnalyticsKinesis FirehoseKinesis StreamsMachine LearningMarklogicNode.jsOraclePower BIPythonQlik SenseSnowflakeSparkSQL ServerTableauXML
Software
As a Data Engineer at Archive, you will build data pipelines, develop AI applications, architect internal data infrastructure, and contribute to reporting practices. You will work with large datasets and modern data languages, collaborating across teams to tackle complex problems related to consumer behavior.
Top Skills:
Apollo ClientAWSGitHexIpython NotebookLinearNext.JsNode.jsNotionPalantir FoundryPandasPostgresPythonReactReduxSlackSnowflakeSparkSQLTypescriptVercel
Software • Web3
The Senior Data Engineer will design, build, and maintain data infrastructure and ETL pipelines, collaborate with teams to define data requirements, and optimize data workflows for decision-making and analysis.
Top Skills:
Data ModelingData WarehousingData WorkflowsDbtETLSnowflake
Software • Financial Services
The Data Engineer will design, build, and maintain data processing pipelines, focusing on ETL from various sources. They will establish database management systems, enhance data flow, and leverage AI and big-data techniques to ensure data integrity and usability for analysis.
Top Skills:
Artificial IntelligenceBig DataData Processing PipelinesDatabase Management SystemsETLMachine Learning
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