Job Description
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
- 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.).
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.