Senior Data Engineer – Azure Data Platform & Spark

Strategic Data Systems, Inc.; Cincinnati (OH); Hybrid; USD 110,000 - 150,000; Full time

Job summary

Strategic Data Systems, Inc. is seeking a Senior Data Engineer in Cincinnati, OH to lead data platform initiatives. You will design, develop, and deploy data pipelines using PySpark, Spark SQL, and Azure services, building scalable analytics-ready data assets.

The role demands 60 months of experience in data engineering with strong SQL, Python/C#.NET, and Azure Cloud expertise. Expect full-time work in Cincinnati with opportunities to shape analytics infrastructure.

Qualifications

• 60 months of experience required in data engineering or related field.
• Bachelor of Technology in Computer Science and Engineering or foreign credentials accepted.
• Experience with Azure cloud data services and data platform development.

Responsibilities

• Design, code, maintain, and implement data applications.
• Stage, transform, and load structured and semi-structured data.
• Work on projects from inception to end using Azure stack.
• Collaborate with team to build a data platform for analytics.

Skills

PySpark

Spark SQL

Azure Data Lake Storage

Azure Data Factory

Azure SQL

Azure Synapse Analytics

Azure Databricks

Azure Data Explorer

C#.NET

Python

VB.NET

SQL

KQL

PowerShell

Git

TFS

Azure Git

Education

Bachelor of Technology in Computer Science and Engineering

Tools

TFS

Git

Azure DevOps

VB.NET

Job description

Strategic Data Systems, Inc. is seeking a Senior Data Engineer in Cincinnati, OH to lead data platform initiatives. You will design, develop, and deploy data pipelines using PySpark, Spark SQL, and Azure services, building scalable analytics-ready data assets.

The role demands 60 months of experience in data engineering with strong SQL, Python/C#.NET, and Azure Cloud expertise. Expect full-time work in Cincinnati with opportunities to shape analytics infrastructure.