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Top Hybrid Data Engineer Jobs
Healthtech
Design and maintain secure, scalable data pipelines, ensuring data quality and collaborating with teams to optimize performance. Mentor engineers and stay updated with industry standards.
Top Skills:
AirflowAws LambdaAws S3Aws SqsDockerDynamoDBMySQLPythonRedshiftSQL
Insurance • Cybersecurity
As the Data Engineering Lead, you will develop and maintain data pipelines and infrastructure, ensuring data integration and quality, while mentoring junior engineers and collaborating with cross-functional teams.
Top Skills:
AWSDagsterDbtJavaScriptPythonSnowflakeSQLTypescript
Sales • Software
Responsible for developing and maintaining Odaseva's analytics and AI platform, delivering customer analytics features, and providing data-driven insights for product strategy.
Top Skills:
Apache AirflowBigQueryDbtLookerPythonRRedshiftSalesforce Crm AnalyticsSnowflakeSQLTableau
Featured Jobs
Featured
Fintech • Payments • Professional Services
As a Data Engineer, you will develop and maintain data pipelines, integrations, and frameworks, enabling data-driven decisions and insightful analytics for operations and customers.
Top Skills:
AirflowGlueJavaLookerPythonSisenseSparkSQLStormSupersetTableau
Logistics • Robotics
The Data Specialist will analyze baggage and operational statistics, develop performance models, and collaborate with engineering teams to enhance robotic system efficiency.
Top Skills:
Machine LearningPythonSimulation SoftwareSpreadsheets
Artificial Intelligence • Big Data • Machine Learning • Software
The Lead Data Engineer will design and build data pipelines using various technologies, working closely with data science and engineering teams to manage large datasets and build applications for data orchestration and monitoring.
Top Skills:
AirflowApache BeamSparkBigQueryCassandraDataflowGCPJavaKotlinPostgresPythonScylla
Software
The Data Engineer will architect and maintain scalable data pipelines, enhance data quality, and implement innovative data solutions using Python and SQL. Collaboration with IT and business teams is crucial to maximize data resources, while applying software engineering best practices is necessary to improve code quality and efficiency.
Top Skills:
Apache AirflowBashDatabricksPrefectPysparkPythonRedshiftSnowflakeSQL
Big Data • Fintech • Machine Learning • Real Estate • Database
Lead data observability initiatives, develop frameworks, mentor teams, create metrics, engage clients, enhance data health, and adopt new technologies.
Top Skills:
Big Data TechnologiesCloud ServicesData Observability FrameworksData Pipeline ArchitecturesData WarehousingDatadogGrafanaPrometheusSplunk
eCommerce • Information Technology • Marketing Tech • Social Media • Software
Lead HR reporting, automation, and data-driven decision-making to enhance insights for HR and executives while ensuring data accuracy.
Top Skills:
BamboohrExcelPower BISQLTableauWorkday
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