Senior Data Engineer

BLUEBEAM

Bluebeam is part of the Nemetschek Group. Bluebeam pushes the boundaries of innovation,

developing simple, smart solutions for AEC professionals worldwide. Our award-winning

solution, Bluebeam Revu, delivers innovative markup and collaboration technology that saves

design and construction teams time and money. Founded in Pasadena, CA, Bluebeam has grown

to include additional offices in California, Illinois, New Hampshire, Canada, England, Australia,

Sweden, Denmark and Germany

YOUR ROLE: A chance to make the difference.

Senior Data Engineer exists to design, build, and operate scalable data and platform services that

enable Bluebeams products, integrations, and data-driven capabilities. This role supports

Bluebeams connected ecosystem by ensuring that data and cloud platforms are reliable, secure,

and performant, enabling teams to deliver high-quality product experiences and insights. The

Senior Data Engineer accomplishes this by developing cloud-based data platforms, pipelines,

and services, collaborating with product and engineering teams to translate requirements into

technical solutions, and improving system scalability, performance, and reliability.

Design and develop scalable data platforms and services to support Bluebeam products

and business needs.

Build and maintain data pipelines and analytics systems that enable reliable, high-quality

data processing and insights.

Develop software components and integrations that expose data capabilities through

APIs and services.

Ensure the reliability, performance, and availability of data and platform systems

through monitoring, troubleshooting, and optimization.

Collaborate with cross-functional teams to translate product and business requirements

into technical solutions.

Participate in system design and architectural discussions to evaluate and implement

appropriate technical approaches.

Document system designs, data workflows, and code to support maintainability and

knowledge sharing.

Contribute to continuous improvement of engineering practices, processes, and platform

capabilities.

WHO ARE WE LOOKING FOR:

6+ years in software development, with a focus on data-intensive applications, cloud

solutions, and scalable data architectures.

Strong experience in software and data engineering using programming languages

including Go (Golang) and Python.

Advanced SQL expertise, including procedural SQL dialects (Snowflake Scripting,

PL/pgSQL, T-SQL, PL/SQL).

Design, development, and optimization of Snowflake-based data platforms, including

data modeling, ETL/ELT pipelines, and performance tuning.

Experience with batch, CDC, event-driven, and SaaS-based data pipelines, including

handling data in formats like Avro, Parquet or Iceberg.

Building and maintaining APIs and microservices for internal and external data

integration. Experience with cloud platforms (AWS: S3, EC2, Lambda, SQS, SNS, Kinesis,

ELB).

Experience with data visualization and dashboards, supporting analytics and business

reporting needs.

Experience with NoSQL databases such as DynamoDB, DocumentDB, or MongoDB.

Experience with CI/CD pipelines, automated testing, and DevOps practices.

Familiarity with infrastructure-as-code (Terraform) and containerization

(Docker/Kubernetes). Exposure to data governance and security practices, including

tools such as Collibra, Alation, or OpenMetadata. Soft Skills.

Strong collaboration and teamwork skills in cross-functional, high-performance

engineering teams.

Ability to communicate technical concepts clearly to both technical and non-technical

stakeholders.

Strong problem-solving, analytical thinking, and attention to detail.

Organized, results-driven, and accountable work style.

Willingness to learn and expand technical expertise continuously