4 data warehouse engineer jobs at 4 companies in Warren, OH

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Data Warehouse Software Engineer I
Reston or Somerville or Chagrin Falls or Boston or Cleveland or United States or Australia or Canada or Israel or Japan or United Kingdom
$70k-$80k/yr HybridFull Time
Babel Street
Babel Street: AI-powered identity intelligence and risk operations software solutions.
Foundational SQL, BigQuery, Looker, basic Python and Git, familiarity with Apache Airflow (Cloud Composer), data modeling and BI experience, strong attention to data quality and business analysis skills.
Google Cloud Platform (GCP), BigQuery, Looker, Apache Airflow, Cloud Composer, Python, Git, SQL, Tableau, Microsoft Power BI
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CLEVELAND Engineer, Data Warehouse (Architecture) - Information Technology (IT)
Cleveland, Ohio, United States
$120k-$155k/yr OnsiteFull Time
Jones Day
Jones Day: Global law firm providing comprehensive legal and litigation services.
8+ YOEBachelor's degree or equivalent experience, minimum 8 years' related experience (3 years in similar responsibility), data warehouse architecture, troubleshooting, technical leadership, ability to work varied shifts and on-call rotations.
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Principal Marketing Data Ops Engineer II
Bethesda or Getzville or New York City or Beachwood or Indianapolis or Tucson or Tampa or Chicago or Fredericksburg or Melville
HybridFull Time
GEICO
GEICO: Provides vehicle and property insurance services to consumers.
7+ YOE7+ years building data pipelines in Python/Scala, 7+ years SQL with enterprise warehouses, 5+ years ETL/ELT and cloud infrastructure experience (Azure/AWS/GCP); BA/BS preferred.
Python, Scala, SQL, Snowflake, Databricks, Azure, AWS, GCP, Azure Data Factory, Microsoft Dynamics, Statsig, REST API
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Engineer
Cleveland, Ohio, United States
$100k-$120k/yr OnsiteFull Time
Tata Consultancy Services
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
10+ YOE10+ years in data engineering, 3+ years as data architect; expertise in data architecture, modeling, lakes/warehouses, ETL/ELT, governance; strong fraud/risk domain experience; SQL, Python, Spark, Databricks proficiency.
SQL, Python, Spark, PySpark, Databricks, Kafka, Airflow, Snowflake