Posted Nov 1, 2026
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20 opportunities on this page
Posted Nov 1, 2026
Posted Nov 1, 2026
€70K–€80K a year
Posted Oct 31, 2026
CA$90K–CA$105K a year
Posted Oct 31, 2026
CA$94.7K–CA$136.8K a year
Posted Oct 31, 2026
CA$117.8K–CA$160.7K a year
Posted Oct 31, 2026
Posted Oct 31, 2026
CA$114.8K–CA$191.8K a year
Posted Oct 31, 2026
From CA$29.00 an hour
Posted Oct 31, 2026
Wizrobotics - Maple STEM education Inc.
Markham, ON, CA
From CA$55K a year
Posted Oct 31, 2026
CA$45K–CA$55K a year
Posted Oct 31, 2026
CA$18.00–CA$20.00 an hour
Posted Oct 31, 2026
Posted Oct 31, 2026
$85K–$120K a year
Posted Oct 31, 2026
$60K–$135K a year
Posted Oct 31, 2026
$85K–$115K a year
Posted Oct 31, 2026
$112.9K–$188.1K a year
Posted Oct 31, 2026
$105K–$135K a year
Posted Oct 31, 2026
$90K–$120K a year
Posted Oct 31, 2026
Apple
Sunnyvale, CA, US
$184.7K–$277.6K a year
Posted Oct 31, 2026
Selected job
CloseWipro Limited
Minneapolis, MN, US
The source didn’t state the employment type, seniority or visa details.
Role: DataBricks Data Engineer
Location: Minneapolis, MN (3 Days onsite/week)
Job Summary:
The Azure Databricks Engineer will design and deliver scalable Lakehouse solutions on Azure using Databricks, Delta Lake, PySpark, Spark SQL, ADLS Gen2, ADF, Synapse, and modern data governance practices.
Key Skills & Responsibilities
The candidate should have strong hands-on experience in cloud data architecture, Databricks platform design, performance optimization, migration, data modeling, streaming, and security.
Design Databricks Lakehouse architecture using Delta Lake and Bronze/Silver/Gold Medallion layers.
Build pipelines using Databricks Workflows, Delta Live Tables, Auto Loader, Azure Data Factory, and Databricks SQL.
Work with Azure Data Lake Storage Gen2, Synapse, PySpark, Spark SQL, and SQL for enterprise data solutions.
Optimize Spark workloads through partitioning, cluster sizing, data skew handling, broadcast joins, and Photon acceleration.
Lead migration from SAS, Hadoop, Teradata, Oracle, SQL Server, Synapse, and legacy ETL platforms.
Define data modeling, domain architecture, batch/streaming, event-driven processing, governance, security, lineage, and access controls.
Build your whole profile to see what fits, why it fits, and what may be missing.

