Top Data Engineer Jobs in Detroit, MI

Reposted 2 Months AgoSaved
Remote
Detroit, MI
160K-195K Annually
Senior level
160K-195K Annually
Senior level
Artificial Intelligence • Machine Learning • Software • Analytics
The Senior Data Engineer will design and build scalable data platforms, handle automation for data operations, and ensure reliability and performance of data pipelines while collaborating with various teams.
Top Skills: AirflowSparkAws EmrAws LambdaAws S3KafkaKinesisPythonScalaSQL
Reposted 2 Months AgoSaved
Remote
Detroit, MI
170K-190K Annually
Senior level
170K-190K Annually
Senior level
Software
Build end-to-end data and analytics features: ingest and model data, build transformations and pipelines, create client-facing dashboards and interfaces, and develop LLM-powered workflows to accelerate analysis and app development. Partner with stakeholders, perform exploratory analyses, and ensure data quality, observability, and maintainability while influencing data engineering strategy.
Top Skills: Ai/Llm Development ToolsAutomation FrameworksCode AgentsLlmsPythonReactSQLVue
Reposted 2 Months AgoSaved
Remote or Hybrid
Detroit, MI
115K-150K Annually
Senior level
115K-150K Annually
Senior level
Digital Media • Information Technology • Software
Lead architecture, implementation, and optimization of scalable data platforms, ETL/ELT pipelines, and data governance. Ensure security and compliance, mentor junior engineers, drive CI/CD and IaC for data workflows, and collaborate with stakeholders to deliver actionable analytics and reporting.
Top Skills: AirflowSparkAws GlueAws RedshiftAws S3Azure Data FactoryAzure SynapseDatabricksDbtGcp BigqueryGcp DataflowGitJIRAKafkaMySQLOraclePostgresPythonSnowflakeSQL
2 Months AgoSaved
Remote
Detroit, MI
148K-217K Annually
Senior level
148K-217K Annually
Senior level
Kids + Family • Mobile
Design, build, and maintain scalable distributed data pipelines and a secure data lakehouse for streaming and batch processing to support real-time analytics, ML, and experimentation. Automate, test, and harden workflows, architect logical and physical data models, build ML model features, and collaborate with product, analytics, and data science teams to turn data into value.
Top Skills: AirflowAWSAzureBigQueryDabsData LakehouseDatabricksDatabricks WorkflowsDbtGCPGithub ActionsLlmsPrestoPythonSnowflakeSparkSQLTerraformTrino
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