Senior Data Engineer: Data Platform & Pipelines Lead

MSI; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

MSI is seeking a Sr Data Engineer to design and manage data systems, pipelines, and governance tools. You will lead projects, oversee junior engineers, and deploy scalable data models across diverse platforms, integrating large data sources for insightful analytics.

You will collaborate with stakeholders to automate pipelines, maintain data quality, and ensure security. Strong SQL, Python, Spark, and Power BI experience are essential for success.

Qualifications

• 5-7 years of relevant experience required.
• BA/BS in relevant discipline required.
• Experience building large data pipelines across platforms, data sources, data structures.
• Experience with relational databases such as SQL Server, Oracle, etc., and SQL scripting.
• Experience with Power BI.
• Experience with cloud platforms (AWS, Azure, GCP) and ETL tools/techniques.

Responsibilities

• Collaborate with data architect, analysts, and stakeholders to identify and document needs/requirements for data pipelines and process automation.
• Design, build, document, test, and maintain data pipelines using industry best practices.
• Performs ETL, ELT operations in accordance with enterprise data governance and security standards.
• Develop data quality and governance process to ensure data accuracy and quality through inspection, validation, processing, anomaly detection.

Skills

Data pipelines

ETL/ELT design

SQL scripting

Python

Spark

Data governance

Documentation

Mentoring

Communication

Power BI

Education

BA/BS in relevant discipline

Tools

Power BI

Cloud platforms (AWS/Azure/GCP)

Job description

MSI is seeking a Sr Data Engineer to design and manage data systems, pipelines, and governance tools. You will lead projects, oversee junior engineers, and deploy scalable data models across diverse platforms, integrating large data sources for insightful analytics.

You will collaborate with stakeholders to automate pipelines, maintain data quality, and ensure security. Strong SQL, Python, Spark, and Power BI experience are essential for success.