Senior Data Engineer

Location: New Bremen, OH (4 days a week onsite)

Salary: 85K-100K

Relocation: Full Relo packaged including temporary housing, full moving costs covered, etc.

Minimum Qualifications:

• 3+ years' experience (internships count)

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• Bachelor’s degree (Computer Science, Management Information Systems or equivalent)
• Proficient in object-oriented and event-driven programming in at least Python with a know-how of popular frameworks (Pyspark, Pandas, NumPy, Flask, AsyncIO)
• ETL pipeline building
• Hands-on experience in writing and profiling SQL queries

Plusses:

• Experience with Microsoft Fabric experience
• Familiar with REST/SOAP API principles and methods
• Good understanding of Cloud technologies like AWS
• DevOps principles – owing the code from development to deployment.

Responsibilities

In this role, the data engineer will spend approximately 80% of their day working hands-on with Python and SQL, developing, maintaining, and optimizing data solutions that support analytics and business processes. The primary focus will be on building and supporting robust ETL pipelines that ingest, transform, and move data across platforms while ensuring reliability, scalability, and performance.

A key responsibility will be supporting the organization’s transition into a Microsoft Fabric environment. This includes designing and building data pipelines within Fabric, as well as creating and maintaining Fabric notebooks using PySpark to perform large-scale data transformations and processing. The engineer will adapt existing workflows and help develop new solutions aligned with Fabric best practices.

On a daily basis, this individual will collaborate closely with other data engineers, analysts, and business stakeholders to translate requirements into technical implementations. They will write, profile, and optimize SQL queries, troubleshoot pipeline and data issues, and integrate data from internal and external sources, including APIs when needed. The role also involves participating in code reviews, source control, and CI/CD processes, as well as working within an Agile team environment to support continuous delivery and improvement.