About Us:

BW Design Group is a fully integrated architecture, engineering, construction, system integration, and consulting firm committed to helping our clients realize their most critical goals from Strategy to Commercialization. As the only firm born from a manufacturing technology company to become an independent and fully integrated firm, we combine deep domain expertise in the manufacturing environment with an approach that is built to serve the dynamic needs of our clients. Rooted in our distinct culture of Truly Human Leadership, we cultivate the leaders who will define tomorrow and partner with our clients in the food & beverage, life sciences, industrial, and advanced technology industries to build the future of manufacturing and technology.

Barry-Wehmiller is a diversified global supplier of engineering consulting and manufacturing technology for the packaging, corrugating, sheeting and paper-converting industries. By blending people-centric leadership with disciplined operational strategies and purpose-driven growth, Barry-Wehmiller has become a $3 billion organization with nearly 12,000 team members united by a common belief: to use the power of business to build a better world.

Job Description:

Who You’ll Work With

You will join one of our 45 offices in the US, be part of a committed team of over 1500 professionals, and work in teams and directly with our clients doing work that is shaping the world around us. You will be welcomed into a rapidly growing business and team and empowered to make an impact. You will be valued, cared for, and challenged on your path to becoming a world-class professional consultant and surrounded by leaders who are committed to creating an environment that enables you to realize your own success and fulfillment.

When you join Design Group as a Data Engineer, you are joining a team that will challenge you and position you for growth. In this role, you will work with a team of industry experts to help the world’s leading companies solve their most difficult problems. You will partner with seasoned leaders, technical specialists, and subject matter experts to deliver the highest quality solutions to our clients with consistency and accuracy.

What You’ll Do

  • Design, develop, and maintain cloud data infrastructure leveraging technologies like Azure SQL Database, Azure Data Lakes, and Azure Synapse Analytics, and DuckDB to enable advanced analytics (AWS experience is acceptable)
  • Build scalable cloud data solutions and pipelines for big data sources and large datasets using services like Azure Synapse Spark Pools, Azure Data Pipelines, Azure Data Lakes, Spark Notebooks, and DBT
  • Create optimized data models, efficient ETL/ELT logic, transformations, and metadata to structure and relate data for business insights.
  • Automate and schedule regular data integrations from transactional systems, on-prem data warehouses, enterprise databases and SaaS applications into high performance cloud data platforms.
  • Implement data quality checks, validation processes, error handling, partitioning, security, and resilience capabilities into data solutions based on requirements.
  • Support migration initiatives to move on-premises data and BI systems into cloud data lakehouses, data lakes and other cloud analytics services.

What You’ll Bring

  • 0-2 years’ experience as a data engineer, ETL developer, or similar role (internships experience included).
  • Experience with cloud data technologies (Azure preferred) such as Azure Synapse Analytics and Spark Pools.
  • Strong expertise with SQL and Python. Exposure to DAX and M preferred.
  • Familiarity with PowerBI or Tableau is a plus.
  • Experience utilizing structured and unstructured data.
  • Knowledge of data modeling, warehousing principles, ETL/ELT, and metadata standards.
  • Understanding of CI/CD pipelines and DevOps processes is a plus.
  • Ability to relate data opportunities to business needs.
  • Strong communication, collaboration, curiosity, and perseverance skills.
  • Analytical mindset with problem solving and troubleshooting skills.
  • Bachelor’s degree in Computer Science, Analytics, Information Systems or similar field required.

Our culture and commitment to our people is what sets us apart. We foster an environment of mutual respect, integrity, and unconditional interest in the individual and collective success of our professionals. Our model and entrepreneurial mindset offer a rewarding, challenging, and highly flexible path. As a Data Engineer, you will build a meaningful and fulfilling career with the support of professional development resources and mentorships including our First Year Experience program, Individual Development Plans, and Career Path resources and tools. You will be surrounded by exceptional talent who will support your development as both a world-class professional and a highly effective leader.

Additional Job Description

  • Builds infrastructures that collect and process data according to company needs
  • Scales and builds out infrastructure to extract meaningful data
  • Designs, develops and implements statistical models to carry out various aspects of classification and information extraction from data
  • Leverages existing data infrastructure to fulfill all data-related requests; maintain data models
  • Analyze data to spot anomalies, trends and correlate similar data sets.
  • Troubleshoots and identifies possible solutions
  • Other duties as assigned

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.

Applicants may be subject to pre-employment screening which may include drug screening, reference checks, employment verifications, background screening and/or skills assessments.

Company:

Design Group

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Confirmed 10 hours ago. Posted 11 days ago.

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