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Oshkosh Corporation · 10 hours ago

Principal Data Engineer

Oshkosh, Wisconsin, United States

Full-time

Onsite

Senior Level, Lead/Staff

$136K/yr - $242K/yr

7+ years exp

Oshkosh Corporation is a leader in designing and manufacturing specialty trucks and access equipment. They are seeking a Principal Data Engineer to support data ingestion, transformation, and analytics solutions, collaborating with cross-functional teams to deliver scalable data solutions and ensure data governance standards.

AutomotiveIndustrialManufacturing

H1B Sponsor Likely

Responsibilities

Plan, architect, design and develop scalable data and analytics solutions to deliver quantifiable value to our business teams

Own the architecture and user access patterns for analytics and data platforms

Collaborate with cross-functional teams (e.g. data engineers, data analysts, scientists, architects, business stakeholders, application owners) on analytics product development and data requirements

Provide guidance and leadership for end-to-end testing, system integration testing, and validation to support the accuracy of data transformations and data verifications used

Possesses extensive understanding of ETL pipelines, SQL, programming, relational databases, data modeling, transactional and BI databases, and networking

Significant experience with tools such as Terraform, Spark, Databricks, Snowflake, Git, and Azure infrastructure management (ADLS Gen2, Azure Compute, Azure Data Factory, AI Foundry, AKS, VPC’s, Storage Accounts, and others)

Build and maintain documentation, such as version-controlled work instructions, detailed design documents and architecture documentation

Direct data engineering assignments, job scheduling, performance-tuning data processes, and troubleshooting data processing issues (including root cause resolution)

Set standards for data governance (quality, security, etc.) within the Azure data lake

Familiarity with ITIL methodology and ticketing software to track and manage incidents, changes, problems, tasks, and demand

Lead coaching and mentoring and serve as a Subject Matter Expert (SME) on new technologies and best practices across data engineering (i.e. data modeling, database design, ETL design, job scheduling and monitoring, etc.)

Possesses advanced understanding of data structure, data processing, and overall landscape of source/ERP systems

Possesses strong critical thinking, analytical, problem-solving, organizational, multitasking, interpersonal, and presentation skills

Designs the strategic roadmap and forward analysis for data engineering, including proof of concepts and vendor management

Direct feasibility studies and project estimates for proposed projects

Analyzes trends, emerging technologies, and version updates to optimize data engineering's vendor relationships, technical solutions, and improve customer experience

Partners across technology SMEs for process, policy, and procedure best practices and design

Proficiency in Excel skills and programming skills

Develop process improvement strategies based on pattern recognition with the business for proactive solutions

Qualification

ETL pipelinesSQLData modelingAzure infrastructureTerraformSparkDatabricksSnowflakeGitAnalytical skillsExcel skillsProgramming skillsCritical thinkingProblem-solvingOrganizational skillsInterpersonal skillsPresentation skills

Required

Bachelors degree with seven (7) or more years of experience in the field or in a related area