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Top Remote Data Engineer Jobs in Tucson, AZ
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As a Senior Data Engineer, you will enhance the data lakehouse, optimize data workloads, perform complex transformations, and develop frameworks to improve delivery velocity, focusing on cybersecurity solutions.
Top Skills:
Cloud Data ProcessingData WarehousingDatabricksDistributed Processing FrameworkPythonSpark
Other
Design, build, and scale reliable batch and real-time data pipelines and warehouses. Partner with engineering, data science, and business teams to define data models, improve observability, optimize storage and querying, and evangelize data engineering best practices across the company.
Top Skills:
AirflowApache KafkaAWSBigQueryClickhouseDbtDelta LakeFlinkHudiIcebergInfluxdbKubernetesPulumiPysparkPythonRedshiftSnowflakeSparkSQLTerraform
Artificial Intelligence • Machine Learning • Consulting • Generative AI
Lead data engineering for a healthcare scheduling platform rebuild: map legacy multi-TB schema, design target schema, build translation layer (views/materialized views and write mappers), ensure data consistency during parallel systems, plan per-tenant cutover with verification and rollback, tune DB performance, instrument data quality/lineage/audit, and mentor engineers.
Top Skills:
AWSPostgresPythonSQL
Blockchain • Energy • Cryptocurrency
Build and maintain a near real-time financial dashboard by integrating market and forecast APIs, automating financial models, and crafting clear visual narratives using Flourish and Canva. Collaborate with design and marketing partners, ensure data accuracy and performance, and optimize data flows across multiple feeds.
Top Skills:
Binance ApiBloomberg ApiCanvaFlourishJavaScriptPython
Software
Design and build scalable batch and streaming data pipelines, lead architecture for Lakehouse platforms, and mentor junior engineers while optimizing data quality and performance.
Top Skills:
Apache AirflowApache IcebergAWSDatabricksDbtFivetranKafkaPythonSQL
AdTech • Marketing Tech
Design, build, and maintain scalable Databricks-based data pipelines and ELT workflows; develop and document dbt models; define data modeling methodology; ensure data quality, reliability, and scalability; collaborate with clients and cross-functional teams; provide technical guidance and deliver improvements to clients' data infrastructure and analytics capabilities.
Top Skills:
Apache AirflowAWSAzureAzure Data FactoryClaude CodeCodexCopilotDatabricksDatabricks WorkflowsDbtDelta LakeFivetranGCPKafkaMlopsMotherduckPythonSnowflakeSpark StreamingSQLUnity Catalog
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Internet of Things
As a Senior Data Engineer, you will manage data pipelines, ensure data quality, partner with teams for data-driven decisions, and improve the data platform while maintaining data integrity.
Top Skills:
GCPPythonSQL
Internet of Things
The Senior Data Engineer will create and manage data pipelines, ensuring data quality, collaborating with teams for data-driven decisions, and evolving the data platform.
Top Skills:
GCPPythonSQL
Artificial Intelligence • Cloud • Information Technology • Database • Analytics • Consulting • Cybersecurity
The Senior Data Analytics Engineer analyzes and delivers business intelligence solutions, builds data pipelines, and collaborates with clients to meet their data-driven needs.
Top Skills:
Azure Data FactoryAzure DatabricksAzure SynapseFabricMicrosoft Analytics StackPythonSQL
HR Tech • Other • Professional Services
The Senior/Staff Data Engineer will design and scale the core data platform for healthcare systems, focusing on infrastructure, tooling, and governance while mentoring engineers and collaborating with various teams.
Top Skills:
AWSDbtIcebergKafkaPythonSparkSQLTerraform
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
Gaming • Mobile
Build, operate, and modernize scalable data pipelines and warehouse environments for lottery reporting, analytics, and AI readiness. Improve ingestion, transformations, data models, contracts, observability, lineage, and onboarding patterns. Automate operations, troubleshoot production issues, mentor engineers, and support migration from legacy to cloud architectures while ensuring data quality, reliability, and regulatory continuity.
Top Skills:
Amazon RedshiftApache AirflowSparkAWSAws GlueDatabricksDbtEtl/EltKafkaSnowflakeSQL
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