What are the responsibilities and job description for the Engineer, Data position at Wabash?
About the Role:
We are seeking a technically skilled and innovative Data Engineer with a strong foundation in Azure data services, dedicated to designing, building, and optimizing data pipelines and integrations. This role focuses on the development and enhancement of scalable data solutions, automation of data workflows, and implementation of best practices in data engineering. The ideal candidate is passionate about creating high-performance data architectures, collaborating with cross-functional teams, and driving continuous innovation in data engineering.
Your Responsibilities:
At Wabash, we pride ourselves on being empowering, and there are some things we feel very strongly about:
Affirmative Action/EEO Statement:
Wabash is committed to providing equal employment opportunity for its associates and applicants without regard to race, color, religion, sex, age, national origin, veteran status, disability, or other protected class or activity under federal, state, or local law. All employment decisions must be based on neutral, legitimate criteria. All employment policies and rules shall be applied equally to similarly situated associates.
We are seeking a technically skilled and innovative Data Engineer with a strong foundation in Azure data services, dedicated to designing, building, and optimizing data pipelines and integrations. This role focuses on the development and enhancement of scalable data solutions, automation of data workflows, and implementation of best practices in data engineering. The ideal candidate is passionate about creating high-performance data architectures, collaborating with cross-functional teams, and driving continuous innovation in data engineering.
Your Responsibilities:
- Monitor and troubleshoot data pipelines and integrations using Azure Data Factory, Synapse, and related tools. Design, develop, and optimize data pipelines and integrations using Azure Data Factory, Synapse, Fabric, and related tools.
- Implement and maintain ELT processes to ensure efficient, high-quality data flow across systems.
- Architect and enhance data models and data warehouse solutions to support business intelligence and analytics.
- Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver data solutions.
- Ensure data quality, integrity, and security through best practices and automation.
- Document data architectures, integration flows, and engineering procedures to maintain up-to-date technical knowledge bases.
- Drive continuous improvement by identifying opportunities for automation, performance tuning, and process enhancements.
- Other duties as assigned
- Bachelor’s degree in Computer Science, Information Technology, or equivalent experience
- 2 to 4 years of experience in a data support, operations, or engineering environment
- Experience with data warehousing and cloud-based data platforms
- Strong troubleshooting and analytical skills
- Experience working in agile teams and supporting production systems
At Wabash, we pride ourselves on being empowering, and there are some things we feel very strongly about:
- Embrace Diversity and Inclusion -- Solicit and respect the input of others, celebrate differences, and strive for transparency and inclusiveness
- Seek to Listen -- Actively listen to reach the best solution and make the strongest decisions
- Always Learn -- Strive to improve; do not quit or settle for the status quo
- Be Authentic -- Demonstrate honesty, incredible energy, and grit in everything you do
- Win Together -- Collaborate, seek alignment, and excel at cross-group communication to success as one team and One Wabash
Affirmative Action/EEO Statement:
Wabash is committed to providing equal employment opportunity for its associates and applicants without regard to race, color, religion, sex, age, national origin, veteran status, disability, or other protected class or activity under federal, state, or local law. All employment decisions must be based on neutral, legitimate criteria. All employment policies and rules shall be applied equally to similarly situated associates.