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# Data Engineer Sr

- **Company:** JLG Industries, Inc. i
- **Location:** Oshkosh, WI, United States
- **Experience:** Expert
- **Salary:** $104,100.0 - $173,900.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Bash Shell, BigQuery, CAN Bus, Cloud Database, Cloud Storage, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Warehousing, Database Design, Digital Data, Ethernet, Apache Hadoop, Hadoop Distributed File System, Apache Hive, Job Scheduling, Python (Programming Language), Machine Learning, Windows Servers, Message Queuing Telemetry Transport (MQTT), Performance Tuning, Scrum Methodology, Rapid Prototyping Process, Cloudera, Azure Data Lake, Software Engineering, SQL Databases, Anaconda, Data Processing, Google Cloud, Azure Data Factory, Snowflake, Apache Spark, Change Data Capture, Amazon Virtual Private Cloud (VPC), Git, Data Lakes, Information Technology, Qlikview, Apache Kafka, Apache Nifi, Azure AKS, Data Management, Terraform, Azure Synapse Analytics, Amazon Redshift, Databricks
- **Published:** September 17, 2026
- **Apply:** https://oshkoshcorporation.wd5.myworkdayjobs.com/Oshkosh/job/Oshkosh-Wisconsin-United-States/Data-Engineer-Sr_R49932

## About the Role

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

## Description

* Design and develop scalable Change Data Capture (CDC) and ETL solutions to deliver data from source systems to analytics platforms (structured and unstructured; batch and streaming).
 * Use 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).
 * Assist in ensuring proper data governance (quality security, etc. within the data lake and enterprise data warehouse systems across all business segments.
 * Assist with performance-tuning data processes as well as troubleshooting data processing issues.
 * Collaborate, coordinate, and communicate across disciplines, departments and segments.
 * Develop rapid prototyping and design processes for fast solution delivery to the business.
 * Maintain reference architecture and documentation for the purposes of architectural governance and application roadmap.
 * Assist in education others on best practices surrounding data work (i.e. data modeling, database design, ETL design, job scheduling and monitoring, etc.).
 * Assist or direct feasibility studies and project estimates (manpower, budget development, and timelines, etc.) on proposed research and development projects.
 * Follow the directors of the supervisory very efficiently and provide feedback on the technical hurdles and progresses with clarity and assess the priorities based on business needs.
 * Complete the tasks under the guidance on mutually agreed schedule between the candidate and the supervisor/program manager with minimum mentoring.