Python Developer Engineer

MDMi; Indianapolis (IN); Hybrid; USD 110,000 - 140,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Dental insurance

Vision insurance

401(k) with company match

Hybrid location

Collaborative team environment

Professional development

Job summary

MDMi is seeking Data Engineers to join our Software + Solutions Developer team and work with experts to design, build, and implement scalable data architectures and processing pipelines for STEM data management. You will create batch and streaming data solutions across hybrid environments, emphasizing security and reliability.

You will collaborate with data scientists, software developers, and clients, applying Spark, Delta Lake, Python, SQL, and APIs to enable analytics and automated

Qualifications

• Proficiency in Python and Spark for data engineering.
• Strong SQL and Delta Lake for reliable data storage and retrieval.
• Experience building ETL pipelines and data warehouses.
• Familiarity with cloud platforms (AWS/Azure) and on-prem architectures.

Responsibilities

• Design, develop, and maintain scalable data architectures and ETL pipelines across on-premise and cloud platforms.
• Collaborate with cross-functional teams to build custom software solutions for STEM data management.
• Apply best practices for data governance, security, and data quality.

Skills

Python

Apache Spark

SQL

Delta Lake

ETL pipelines

Education

Bachelor's degree in Computer Science or related field

Tools

Git

Jira

Conda/PIP

Power BI

Tableau

Job description

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.

About you:

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.

About Us:

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.

The key to our success is our focus on developing great people and products by providing the tools, training, and opportunities to grow. We are committed to creating a collaborative learning environment that supports technical understanding and recognizes contributions and achievement of all team members. We value our employees and want them to have a healthy balance between their personal and work lives. In addition to competitive compensation and generous benefits, life at 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.

Job responsibilities:

• 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, test, and maintain APIs and interfaces to facilitate interoperability between custom applications, Ansys Granta, and third-party tools, ensuring reliable data exchange.
• 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 inintegrating 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.
• Coding and Documentation Standards: Adherence to coding best practices, ensuring readable, maintainable, and well-documented code.
• Environment Management:Competency with package managers (PIP, Conda, etc.) for setting up and maintaining Python environments.
• Database Design and Data Structures:Knowledge of nested data structures, database schema design, and experience with JSON and XML.
• Version Control and Collaboration:Proficient with Git for version control and collaboration, following best practices for managing source code.
• Software Testing and Quality Assurance:Familiarity with testing, QA, anddata-heavy application architecture to ensure reliability and performance.
• API Development and Integration:Ability to develop, document, and maintain APIs for seamless interoperability between custom applications and third-party tools.
• User Interface and Web Development:Experience in user interface design, along with HTML, JavaScript, and CSS for building front-end applications.
• Team Collaboration and Learning Orientation:Demonstrated ability to work effectively within cross-functional teams, actively seeking mentorship from experienced colleagues, and contributing to a collaborative environment by following project goals and coding standards.
• Professional Communication and Client Interaction:Experience in communicating technical concepts clearly and professionally, with a strong focus on understanding client needs and delivering solutions effectively through internship or academic project interactions.

While this job posting is seeking a developer with Python experience, MDMi has an extremely diverse portfolio of ongoing software projects. Thus, experience with other languages and programming paradigms beyond are a plus. Likewise, we are always interested in applicants with multidisciplinary expertise beyond programming (e.g. engineering, visualization, cloud technologies, data science, etc.) Strong candidates will have experience with many of the following:

• mIFlow
• Fivetran and other data ingestion and ETL tools
• PowerBi, Tableau

• Data security standards CMMC, GDPR, etc
• Project management skills

Education minimum requirement: Computer science, computer engineering, information technology, or comparable degree from a 4-year school or 3+ years industry software development experience. We will also consider applicants with the equivalent combination of education, technical expertise, training, or work experience.

Other Requirements: In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and complete the required employment eligibility verification form (I-9) upon hire. Due to the nature of the work and in accordance with U.S. export control laws, applicants must be U.S. citizens or otherwise legally authorized to access export-controlled information.

Benefits:

• Competitive salary
• Health insurance
• Dental insurance
• Vision insurance
• Disability insurances
• Life insurance
• Paid time off
• 12 paid holidays
• 401(k) with company match
• Hybrid location (following onboarding)
• Business Appropriate/Casual Work Environment
• Diverse portfolio of industries and projects
• Collaborative and dynamic team environment

MDMi is an equal opportunity employer committed to inclusion, diversity, and maintaining a harassment-free workplace. We encourage all qualified applicants to apply for open positions, which will receive full consideration regardless of race, color, age, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status or other legally protected status. We promise that you’ll always find our spirit to be welcoming, open, and inclusive.