Data Engineer - Data Services

• Analyze and evaluate existing or proposed systems and develop computer applications, systems, and related procedures.
• Prepare program specifications, encode, test, and debug computer applications.
• Design, code, test, debug, install, document and maintain computer applications.
• Participate in peer code reviews to uphold coding standards.
• Create APIs to integrate between existing systems and customer applications.
• Interface with users to extract functional needs and determine requirements.
• Conduct detailed systems analysis to define scope and objectives and design solutions.
• Create documentation per internal standards.
• Work with customers to develop and write system requirements. Project Leadership, Training, and Testing.

Do you have experience in Version control systems?, Do you have a High school diploma or GED?, * 2-4 years related experience

• Bachelor's degree (Computer Science, Management Information Systems) Non-degree considered if 12+ years of related experience along with a high school diploma or GED

• Occasional travel (0-5%)

• Occasional overnight stays (0-5%)

• Per 8-hour shift. Sit 8 hours and stand 0 hours. Typical office environment (low noise level, limited exposure hot/cold temperatures, dust, fumes, and vibrations). Regular interaction with others and performs a degree of independent work. Physical and mental demands are akin to the majority of office positions with prolonged periods of sitting and prolonged use of a computer/keyboard. Infrequent lifting, walking and climbing stairs. Occasional use of office equipment (copiers, printers, etc.)., * Strong programming skills in Python delivering scalable, reusable, and production-grade data solutions.

• Proficient with Python data transformation and integration libraries (e.g., Pandas, NumPy, PySpark, PyArrow, AsyncIO).

• Strong SQL expertise including writing, optimizing, and profiling complex queries for analytical and high-volume workloads.

• Experience designing, building, and owning end-to-end data pipelines, including ingestion, transformation, validation, publishing, and operational support.

• Solid understanding of data modeling principles (relational, dimensional, lakehouse patterns).

• Hands-on exposure to cloud data platforms, preferably Microsoft Azure and Fabric (Data Factory, Data Lake Storage, Lakehouses).

• Experience integrating with REST & SOAP APIs for automated data ingestion from external sources.

• Proficient with Git-based version control and CI/CD practices (e.g., GitHub, GitHub Actions).

• Strong focus on data quality, reliability, and ownership, aligned with Agile and DevOps/DataOps principles.

• High attention to detail, analytical thinking, and the ability to communicate clearly with both technical and non-technical stakeholders.

Work Authorization:

Crown will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas or who need sponsorship for work authorization now or in the future, are not eligible for hire.

Pulled from the full job description

• Tuition reimbursement
• Paid parental leave
• Parental leave
• 401(k)
• Health insurance
• Vision insurance
• Dental insurance, Crown offers an excellent wage and benefits package for full-time employees including Health/Dental/Vision/Prescription Drug Plan, Flexible Benefits Plan, 401K Retirement Savings Plan, Life and Disability Benefits, Paid Parental Leave, Paid Holidays, Paid Vacation, Tuition Reimbursement, and much more.

Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. As one of the world's largest lift truck manufacturers, we are committed to providing the customer with the safest, most efficient and ergonomic lift truck possible to lower their total cost of ownership.