Python Developer Engineer II

If you're ready to join a team of talented developers, you belong here. We are seeking Data Engineers to join our Software + Solutions Developer team and work with subject matter experts to develop, construct, and implement database and scaled processing systems and infrastructure. These solutions comprise hosted and on-prem systems that ingest batch and streaming data that will support STEM use cases like physical testing and validation, online processing data, ML/AI, and data analysis.

You're driven, love achieving results, feel comfortable juggling multiple assignments, prefer collaborative environments, thrive on challenge, and want to find a 'great place with great people' to build your career. You are seeking an opportunity to connect with the biggest brands and industry leaders, including the top companies in the Fortune 500. You not only have world-class skills as a Data Engineer, you continually strive to be an expert in your field.

MDMi is a growing full-service data firm bringing data architecture, engineering, and development talent together to deliver innovative STEM data/information management and process solutions. We have a deep history of developing and deploying cutting edge products and technology. We work closely with our clients, who represent the top in their industries of aerospace, defense, automotive, electronics, energy, nuclear, material production, medical devices, gas, product design and engineering, research, and government.

MDMi includes a hybrid work environment providing opportunities for collaborating with subject matter experts, a modern atmosphere in a classic building in Indianapolis, company outings, volunteer opportunities, and cookouts. We offer ongoing opportunities for professional development.

• Design, develop, and maintain scalable data architectures and ETL pipelines, integrating data from various sources to ensure seamless and secure data flow across on-premise and cloud platforms.
• Collaborate with cross-functional teams to build custom software solutions tailored to MDMi’s clients, specializing in materials, chemical, and STEM data management, using technologies like Apache Spark and Delta Lake
• Apply data management best practices for optimized storage, retrieval, and governance, ensuring compliance with security standards and enhancing data quality across Databricks infrastructure.
• Partner with data scientists and software developers to enable the integration of machine learning models into data pipelines, supporting advanced analytics, reporting, and automated decision-making.
• Develop feature engineering pipelines and implement model-serving solutions using Python-native frameworks.
• Author and maintain well-documented Python scripts, libraries, and applications to address various engineering and data management needs, fostering code reusability and long-term maintainability.
• Engage directly with clients to understand their technical needs, define solution requirements, deploy applications, and provide on-site support as needed, building strong customer relationships.
• Utilize industry-standard tools for source control (e.g., Git) and issue tracking (e.g., Jira), participating in agile project planning, team code reviews, and proactive troubleshooting for optimal application performance and scalability.

This position will entail extensive in-person communication with other developers, consultants, and clients, so good soft-skills are a must-have.

On the technical side, applicants for this position should have a good working knowledge of real-world Python programming, including experience with the following:

• Programming Languages and Frameworks:
  
  Proficiency in Apache Spark and Python 3, with experience in integrating machine learning models into production pipelines.
• Data Storage and Management:
  
  Expertise with Delta Lake and SQL, with practical experience inETL processes and data warehousingfor optimized storage and retrieval.
• Cloud Platforms:
  
  Familiarity with AWS and Azure, particularly fordeploying scalable data architectures and managing cloud-based resources.
• Environment Management:
  
  Competency with package managers…