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4 data lakehouse engineer jobs at 4 companies in Florence, AZ

2w
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Data Engineer
Plano or Scottsdale or Wilkes Barre or New York City
$100k-$140k/yr HybridFull Time
Berkshire Hathaway GUARD Insurance Companies
Berkshire Hathaway GUARD Insurance Companies: Provides property and casualty insurance products to small businesses.
5+ YOE5+ years data engineering experience, degree in CS/IT, strong SQL and Python, data modeling, lakehouse and cloud experience (Azure/MS Fabric preferred), Power BI and Azure DevOps familiarity.
Power BI, Microsoft Fabric, Azure DevOps (ADO), SQL, Python, Databricks, Snowflake, AWS, Azure, Tableau, Spark, Scala
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3mo
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Senior Data Platform Engineer
Tempe, Arizona, United States
OnsiteFull Time
Kestra Financial
Kestra Financial: Empowers independent financial professionals with wealth management platform solutions.
8+ YOESenior Databricks Data Engineer with Azure, Databricks Lakehouse, SQL, Python, PySpark; Delta Lake, Unity Catalog, CI/CD; 8+ years of experience.
Azure, Databricks, Delta Lake, Unity Catalog, Airflow, Python, SQL, PySpark, Spark SQL, Databricks Workflows, Repos, Delta Live Tables, REST APIs
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1mo
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Senior Software Data Architect (Phoenix)
Phoenix, Arizona, United States
$172k-$200k/yr RemoteFull Time
ComplexCare Solutions
ComplexCare Solutions: Provides health assessments and clinical engagement for health plans.
15+ YOE5+ Mgmt15+ years software engineering/data architecture with 5+ years in senior/lead roles; Databricks lakehouse experience, Spark/PySpark, Python, cloud (Azure preferred), data modeling, ETL/ELT, data governance, BI (Power BI), CI/CD, and strong leadership and communication skills.
Databricks, Databricks Agentic, Unity Catalog, Spark SQL, PySpark, Delta, Iceberg, Python, AI/BI Dashboard, Genie Spaces, Power BI, SQL Server, PostgreSQL, MongoDB, Cassandra, Hive, Azure, AWS, GCP, CI/CD, Agile, Scrum
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3w
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Lead Eventing AWS Engineer (Kafka/Kinesis)
Bloomington or Dunwoody or Richardson or Tempe
$81k-$142k/yr HybridFull Time
State Farm
State Farm: Provider of auto, home, life, and health insurance.
Design and build event-driven data pipelines, canonical data models, CDC pipelines, materialized read models, and lead lakehouse migrations using AWS and Databricks technologies.
Kafka, Kinesis, Confluent Kafka, Kinesis, SQS, SNS, EventBridge, Lambda, AWS Glue, Step Functions, DynamoDB, Neptune, RDS, OpenSearch, Aurora, Databricks Lakehouse Platform, Delta Lake, Unity Catalog, Databricks SQL, dbt, PySpark, SQL, Iceberg, Redshift, Snowflake, GitLab, Terraform, GitHub Copilot, Neo4j
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