Data Engineer

We are an integrated design firm with a promise to elevate the human experience through design. This fuels the work we do around the world and inspires our mission to improve the lives of our clients, our communities, and our planet. If this sparks your interest, you’re in the right place.

About the team:

DLR Group’s Design Technology team consists of diversified discipline technologists made up of Digital Practice, Digital Design, Digital Services, and R&D. Digital Practice is focused on implementation and support of design technology tools for our design teams across DLR Group’s integrated design practice. The Digital Design Team builds the new tools to support our enterprise and leverages it’s technical skillset to aid teams in solving complex design problems. Digital Services is focused on growth of client facing services through the use of our design technology tools.

Locations:

• Charlotte, NC
• Chicago, IL
• Denver, CO
• Los Angeles, CA
• Minneapolis, MN
• New York, NY
• Omaha, NE

Job Summary:

Our digital design team is seeking a skilled and experienced Data Engineer with expertise in handling diverse data types, including IOT (Internet of Things), BIM (Building Information Modeling), geospatial, imagery, and text data. As a Data Engineer, you will be responsible for designing and implementing robust data solutions, optimizing data pipelines, and ensuring efficient processing and analysis of complex and varied data sets. This role is responsible for collaborating with designers and the broader Design Technology Team within the digital design group.

Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes to ingest, transform, and load IOT, BIM, geospatial, imagery, and text data from various sources.
• Collaborate with cross-functional teams, including Data Scientists, Software Engineers, and domain experts, to understand data requirements and develop efficient data solutions.
• Implement data models and schemas to facilitate storage and retrieval of diverse data types, including structured, semi-structured, and unstructured data.
• Perform data cleansing, validation, and transformation to ensure data accuracy, consistency, and quality.
• Optimize data processing workflows to handle large volumes of diverse data sets and enable efficient data analysis and visualization.
• Stay updated with industry trends and advancements in data engineering, IOT, BIM, geospatial, imagery, and text data technologies, and evaluate their applicability to enhance data engineering processes and capabilities.

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Previous experience as a Data Engineer, working with diverse data types such as IOT, BIM, geospatial, imagery, and text data.
• Knowledge of data engineering concepts, data modeling, and ETL processes.
• Proficiency building and deploying pipelines using Python, Docker, Airflow and GitHub
• Familiarity with relevant technologies and frameworks, such as Apache Kafka and SkySpark for streaming IOT data, BIM tools like Autodesk Revit, geospatial libraries (e.g., GDAL, PostGIS, GeoPandas, ArcGIS), imagery processing tools (e.g., OpenCV), and text mining libraries (e.g., NLTK, SpaCy).
• Experience with big data technologies (e.g., Hadoop, Spark), cloud platforms (e.g., AWS, Azure), and database systems (SQL and NoSQL) for scalable data processing and storage.
• Strong problem-solving and analytical skills with a focus on data quality and performance optimization.
• Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders.

Preferred Qualifications:

• Knowledge of machine learning and data visualization techniques applied to diverse data types is a plus.
• Understanding of Graph databases like Neo4J.
• Knowledge of system architecture in cloud contexts (Azure, AWS) including Kubernetes, networking, security, monitoring, and infrastructure as code.
• Knowledge of DevOps tools and practices including CI/CD, Configuration Management and Blue/Green and Canary deployment models.

DLR Group is an integrated design firm delivering architecture, engineering, interiors, planning, and building optimization for new builds, renovations, and adaptive reuse projects.

We are 100% employee-owned: every employee is literally invested in our clients’ success. At the core of our firm are interdisciplinary teams engaged in every step of project lifecycles. Our teams champion true collaboration, open information sharing, shared risk and reward, value-based decision making, and proficient use of technology to deliver exceptional design. We are pursuing the goals of the 2030 Challenge, the ME2040, and the SE2050, and are an initial signatory of the China Accord and the AIA 2030 Commitment.

Our comprehensive Benefits at DLR Group include: medical, dental, vision, disability, wellness programs, flex spending, paid holidays, and paid time off. We also offer a 401k, employee stock ownership, and bonus opportunities. Compensation considerations are based on location, experience, and skills.

Through our values – commitment, creativity, environmental stewardship, fun, integrity, ownership, sharing, teamwork – we elevate the human experience through design, together.

We are proud to be an EEO/AA employer M/F/D/V.