DI Data Engineering & Analytics Intern
Clayton, MO USA (8020 Forsyth)
Barry-Wehmiller
At Barry-Wehmiller, we’re showing what’s possible at the intersection of great business strategy and profound care for people.About Us:
Job Description:
Position Description:
A Digital Innovation Data Engineering & Analytics Intern will help develop analytical capabilities and machine intelligence built atop the enterprise architecture supporting & accelerating digital products and services deployment at BW. This role will be part of a collaborative, purposeful and passionate team in the manufacturing industry operating with agility and leveraging modern development practices.
This internship is expected to help build solutions with careful consideration for high level design, technical debt, extensibility, security, and scalability in a manner that minimizes ongoing resource consumption, support & maintenance costs whilst ensuring the solutions deliver value to end users and enable digital service offerings.
This includes advanced, secure, scalable, and value-driving Industrial IoT solutions for BW’s field equipment. These solutions will enable actionable data-driven insights into production and aftermarket processes for BW and its customers. BW’s Industrial IoT stack spans a wide range of modern technologies including edge computing infrastructure and applications, cloud-native data processing & persistence services in Azure, and extensible web applications for business intelligence.
Principal Duties and Responsibilities (Essential Functions):
- Plan, design, code, debug, deploy, performance tune, and document sustainable data analytics solutions that support and accelerate BW’s Digital Products and Services initiatives.
- Developing and maintaining production business intelligence systems - including bug fixes, troubleshooting, and monitoring dataset health by setting up metrics and alarms.
- Ensure solutions meet industry best practices in security, privacy, and retention requirements.
- Ensure adherence to software development & change management best practices that maintain a stable, scalable, and high performing production environment.
- Bring business needs and customer use cases from concept to production and iterate value-adding continuous improvements and new features to solution capabilities.
- Assist business users with guidelines, framework, and best practices for: efficient & timely access to equipment telemetry data; developing models, algorithms and/or analytics accelerators leveraging visualization, data exploration, analytics and modeling toolsets.
- Capture backlog items and perform estimations with the team.
- Establish and maintain positive working relationships with project team members.
Job Specifications:
- Experience with modern software development & data engineering best practices.
- Experience with a modern programming language (Python preferred) with a particular emphasis on data engineering, data science, or back-end cloud-native application development.
- Familiarity with major cloud hyperscalers (AWS, Azure, GCP) stack.
- Experience with data visualization tools and/or libraries (e.g., Power BI, Apache Superset, Matplotlib).
- Familiarity with building data pipelines and relational data models.
- Familiarity with IoT, distributed systems, and event-driven systems.
- Conceptual understanding of deployment pipelines, CI/ CD and testing automation.
- Strong exploratory data analysis ability and numeric / probabilistic intuition.
- Experience working with databases (relational, NoSQL, time-series) and fluency with any flavor of SQL.
- Strong problem-solving skills with the ability to investigate, analyze, and disseminate information with diligence and accuracy.
- An ability to effectively organize, prioritize, and influence a technical audience.
- Strong written and oral communication including ability to write technical documents explaining implementation details and other technical decisions within a development team.
- Ability to exhibit a high level of responsibility, initiative, accountability, and work autonomously.
Education and Experience:
- Currently achieving a bachelor's degree in computer science, STEM, or related field.
- Strong understanding of ETL/ELT, database design & architecture, and SQL / non-relational databases.
- Familiarity with modern containerization of applications, DevOps concepts, and automated cloud deployment tooling.
- Familiarity with agile/scrum concepts.
- Prior experience with the manufacturing industry is preferred.
- Familiarity with developing and interfacing with REST APIs, modern web frameworks, and understanding of modern software design patterns is ideal.
Supervisory/Responsibility:
- The team member is an individual contributor w/no direct reports.
Work Environment:
This is an office position at a major USA BW location. The employee must be able to correctly wear and use any Personal Protective Equipment (PPE) required by the employer when visiting a manufacturing facility.
Position Type:
This is a regular, full-time position with the understanding that a regular workweek will require extended days and hours as needed to meet business needs.
Travel:
Occasional travel may be required for this position up to 10%.
Physical Demands:
The employee sits at a desk and uses a computer for prolonged periods of time. Performing the role frequently uses close vision, speech, hearing, and dexterity to operate office equipment. The team member must occasionally lift and/or move up to 15 pounds.
Disclaimer:
The above information in this description has been designed to indicate the general nature and level of work performed by employees within this classification. It’s not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this job. This job description is subject to change at any time.
At Barry-Wehmiller we recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying. We know that our differences often can bring about innovation, excellence and meaningful work—therefore, people from all backgrounds are encouraged to apply to our positions. Please let us know if you require reasonable accommodations during the interview process.
Barry-Wehmiller is an equal opportunity employer. M/F/D/V This organization uses E-Verify.
Company:
BW Corporate USTags: Agile APIs Architecture AWS Azure Business Intelligence Classification Computer Science Consulting Data analysis Data Analytics Data pipelines Data visualization DevOps Distributed Systems EDA ELT Engineering ETL GCP Industrial Machine intelligence Matplotlib NoSQL Pipelines Power BI Privacy Python RDBMS Scrum Security SQL STEM Superset Testing
Perks/benefits: Career development Startup environment
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