Senior Data Engineer – MSI

MSI

. Design and manage data systems, pipelines, and management tools .

Posted 10/22/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and managing data systems and pipelines, with a strong focus on ETL and ELT operations, data governance, and cloud platforms. Proven ability to lead projects, mentor junior engineers, and translate business needs into effective technical solutions.

Highest-signal resume keywords

Data Pipeline DevelopmentETL and ELT OperationsCloud Platforms (AWS, Azure, GCP)Relational Databases (SQL Server, Oracle)Programming in Python and Spark

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Systems DesignData Management ToolsData Quality ProcessesSQL ScriptingData WarehousingData CleansingData TransformationLarge-Scale Processing EnginesAgile Data EngineeringBusiness Process Documentation

Soft Skills

Interpersonal SkillsCommunication SkillsDetail-OrientedProactiveMentoring and Training

Tools & Technologies

Power BIMicrosoft Office SuiteData Governance ToolsDatabase Security Tools

Industry Keywords

Data EngineeringData CollectionData Storage SystemsData IntegrationEnterprise Data Governance

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformOraclePythonSparkSQL

About the role

Key responsibilities & impact

Design and manage data systems, pipelines, and management tools
Oversee junior data engineers
Recommend and deploy data models
Lead projects involving data collection and storage systems
Design, build, document, test, and maintain critical data pipelines handling large data volumes from internal and external sources across different platforms
Collaborate with data architects, analysts, and stakeholders to identify and document requirements for data pipelines and process automation
Perform ETL and ELT operations according to enterprise data governance and security standards
Develop data quality and governance processes, including inspection, validation, processing, and anomaly detection
Work with clients to translate business needs into technical solutions
Demonstrate the organization’s core values and behavior aligned with the firm’s culture

Requirements

What you’ll need

5-7 years of relevant experience required
BA/BS in relevant discipline required
Vast experience with multiple development methodologies
Experience building large, complicated data pipelines across different platforms, data sources, and data structures
Experience working with relational databases such as SQL Server and Oracle, and SQL scripting
Experience with Power BI
Experience with cloud platforms such as AWS, Azure, or GCP and their ETL tools and techniques for sourcing, maintaining, and updating data, data warehousing, data cleansing, and transformation
Programming experience in Python, Spark, and other similar languages
Advanced programming knowledge and experience with large-scale processing engines
Deeper understanding of database security and compliance tools
Excellent understanding of computer systems, integrations, databases, and data storage systems
Understanding of agile data engineering concepts and processes
Ability to capture and document business processes and requirements and create functional requirements
Ability to translate business needs to technical solutions
Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook)
Ability to learn other appropriate programs or software systems used by the firm
Detail-oriented and proactive
Strong interpersonal and communication skills
Ability to provide guidance, mentoring, and training for peers

Benefits

Comp & perks

Remote work arrangement
Travel to a nearby office for onboarding, training, and team collaboration as needed may be required