Data Jobs in Oshkosh, WI

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Data Engineer Sr

Oshkosh Corporation Oshkosh, WI

Oshkosh, WI

Today

$104k - $174k/yr Full time Application Security Automation Azure Data Engineer

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Job Description

Oshkosh Corporation’s Advanced Analytics team is seeking a Sr. Data Engineer in Oshkosh, WI (onsite) to build and scale data engineering capabilities for preventive maintenance and intelligent vehicle control.

Responsibilities

Design and develop scalable Change Data Capture (CDC) and ETL solutions to move data from source systems to analytics platforms (structured and unstructured; batch and streaming).
Implement data engineering using tools and platforms including Terraform, Spark, Databricks, Snowflake, and Git, with Azure infrastructure management.
Work with Azure services such as ADLS Gen2, Azure Compute, Azure Data Factory, AI Foundry, AKS, VPC’s, and Storage Accounts, plus other supporting components.
Support data governance activities, including quality and security across data lake and enterprise data warehouse systems across business segments.
Assist with performance tuning for data processes and troubleshoot data processing issues.
Coordinate and communicate across disciplines, departments, and segments.
Develop rapid prototyping and design processes to speed delivery to the business.
Maintain reference architecture and documentation for architectural governance and application roadmap purposes.
Assist with education on best practices for data work, including data modeling, database design, ETL design, and job scheduling and monitoring.
Assist or direct feasibility studies and help produce project estimates (manpower, budget development, and timelines) for proposed R&D projects.
Follow the supervisor/program manager guidance on a mutually agreed schedule with minimum mentoring.
Provide clear feedback on technical hurdles, progress, and priority alignment based on business needs.

Requirements

Bachelor’s degree in computer science, data science, or a related field, plus 4+ years working as a data engineer, ETL developer, and/or data warehouse DBA.
3-5 years experience in a Data Engineering or Analytics organization in a technical role.
2+ years software development experience (Python/Go preferred).
3+ years experience with a major cloud provider (AWS/Azure/GCP).
Strong proficiency with SQL, Bash, and Python, including experience with Anaconda.
2+ years operating in Unix/Linux and Windows server environments.
2+ years operating in an Agile / Scrum environment.
Experience with cloud-based data services and solutions, including Azure Synapse / Data Lake, AWS RedShift, Snowflake, and GCP Big Query.
Experience partnering with Analytics and Data Science teams to build production-grade GenAI/ML solutions.
Familiarity with CDC tools such as Qlik Replicate, Striim, and Debeezium.
Experience with big data tools and architectures including Cloudera Hadoop, HDFS, Hive, and Spark.
Working knowledge of telematics interfaces and streaming solutions such as MQTT, NiFi, and Kafka.
Automotive or heavy duty on/off-road vehicle experience, including digital data bus concepts such as Ethernet or Controller Area Network (CAN).
Highly organized and detail-oriented with strong critical thinking, analytical, and problem-solving skills.
Ability to manage multiple tasks in a fast-paced environment independently and as part of a team.
Excellent interpersonal skills and ability to present information and respond to questions from leadership and peers.

Technologies

Change Data Capture (CDC), ETL, Terraform, Spark, Databricks, Snowflake, Git
Azure infrastructure management: ADLS Gen2, Azure Compute, Azure Data Factory, AI Foundry, AKS, VPC’s, Storage Accounts
SQL, Bash, Python, Anaconda
AWS, Azure, GCP
Azure Synapse, Data Lake, AWS RedShift, GCP BigQuery
GenAI/ML
Qlik Replicate, Striim, Debeezium
Cloudera Hadoop, HDFS, Hive
MQTT, NiFi, Kafka
Ethernet, Controller Area Network (CAN)

Pay Range

$104,100.00 - $173,900.00 per year

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