FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Data Engineer
Oshkosh Corporation. Design and develop scalable ETL solutions delivering structured and unstructured batch and streaming data from source systems to analytics platforms .
Posted 11/5/2026full-timeFrederick • Maryland • United StatesMid-LevelSenior💰 $82,900 - $134,300 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing scalable ETL solutions, with strong proficiency in SQL, Bash, and Python. Familiarity with big data tools and architectures, as well as data governance practices, is essential for effective data management and analytics.
Highest-signal resume keywords
ETL Solution DevelopmentBig Data Tools (Cloudera Hadoop, HDFS, Hive, Spark)SQL ProficiencyData GovernanceTelematics Interfaces (MQTT, NiFi, Kafka)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ETL DevelopmentData ModelingDatabase DesignSQLBashPythonData VerificationPerformance TuningData Processing TroubleshootingRapid Prototyping
Soft Skills
Critical ThinkingAnalytical SkillsProblem-SolvingInterpersonal SkillsCommunication Skills
Tools & Technologies
Anaconda DistributionData LakeEnterprise Data WarehouseJob SchedulingMonitoring Tools
Industry Keywords
AutomotiveHeavy Duty VehiclesDigital Data BusEthernetController Area Network (CAN)
Tech Stack
Tools & technologiesETLHadoopHDFSKafkaPythonSparkSQL
About the role
Key responsibilities & impact- Design and develop scalable ETL solutions delivering structured and unstructured batch and streaming data from source systems to analytics platforms
- Test and validate data transformations and data verification supporting enterprise-wide analytics
- Assist with data governance, including quality and security, within data lake and enterprise data warehouse systems
- Assist with performance-tuning data processes and troubleshoot data-processing issues
- Collaborate, coordinate, and communicate across disciplines, departments, and business segments
- Develop rapid prototyping and design processes for fast solution delivery
- Maintain reference architecture and documentation for architectural governance and application roadmaps
- Educate others on best practices in data modeling, database design, ETL design, job scheduling, and monitoring
- Assist or direct feasibility studies and project estimates for research and development projects
Requirements
What you’ll need- Bachelor’s degree in computer science, data science or a related field
- Three (3) or more years of experience working as a data engineer, ETL developer and/or data warehouse DBA
- 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 and ability to effectively present information and respond to questions from leadership and peers
- Strong proficiency with SQL, Bash, and Python, with experience using the Anaconda distribution
- Certain positions may require applicants to be U.S. Persons under ITAR/EAR regulations
Benefits
Comp & perks- Competitive total rewards package
- People-first culture
- Opportunities to support team member growth and success
- Reasonable accommodation for job applicants with disabilities