Data Engineer Level 2

$55 - $70 per hour

LeadStack Inc.

Job Description

LeadStack Inc. is an award winning, one of the nation's fastest growing, certified minority owned (MBE) staffing services provider of contingent workforce. As a recognized industry leader in contingent workforce solutions and Certified as a Great Place to Work, we're proud to partner with some of the most admired Fortune 500 brands in the world.

Data Engineer Level 2
Location: Blue Ash, OH 45241
Duration: 6 months (Contractor)
Pay Rate: $55-$70/hr (W2)

Overview
Join our team to build modern data solutions in Azure! We're seeking a skilled Data Engineer with hands-on expertise in Databricks, Spark, Python, and cloud DataOps. You'll design scalable data pipelines, automate infrastructure with Terraform/GitHub Actions, and treat data as an enterprise asset-collaborating on CI/CD, governance, and optimization for reliable, secure analytics.
Key Responsibilities

Analyze, design, and develop Azure-based data products, pipelines, and architecture using Databricks, Spark, PySpark, Python, and SQL.
Optimize Spark/PySpark pipelines for performance (e.g., data skew, partitioning, caching, shuffles).
Build and maintain Delta Lake tables/models for analytical/operational use cases, including Delta Live Tables (DLT) or Databricks SQL.
Provision cloud/Databricks resources via Terraform (IaC) and manage GitHub-based CI/CD workflows with GitHub Actions.
Implement Git workflows for notebooks/jobs; troubleshoot clusters, jobs, and pipelines for reliability.
Collaborate on data governance (e.g., Purview, Unity Catalog), lineage, cataloging, and enterprise standards.
Deploy Azure fixes/upgrades; mentor on best practices; create diagrams/specs; support stakeholders and data strategy.

Requirements

5+ years as Data Engineer.
Strong hands-on with Azure Databricks, Spark/PySpark, Python, SQL, and databases.
Experience with Delta Live Tables (DLT), Databricks SQL, Azure Functions, messaging/orchestration tools.
Proficiency in Terraform (IaC), GitHub/GitHub Actions (CI/CD, version control).
Azure cloud data services integration; monitoring/optimizing Databricks clusters/workflows.
Knowledge of distributed computing (partitions, joins, shuffles); data governance tools (Purview, Unity Catalog).
SDLC familiarity; ability to manage priorities independently.

know more about current opportunities at LeadStack , please visit us on
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Vacancy posted 2 days ago

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