Data Engineer - Data Services

Job Posting External

Job Duties - This role is on-site 4 days pers week,  located in New Bremen OHIO.

• 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.

Minimum Qualifications

• 5-7 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.).

Preferred Qualifications

- 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.