Data Engineer III

nemetschek
2dRemote

About The Position

At Bluebeam, we empower people to advance the way the world is built. We create smart software solutions that make construction sites more efficient, connected, and safe, and improve the lives of design and construction professionals everywhere. The Data Engineer partners with Revenue Operations teams to source, extract, transform, and store data in support of operational and analytics needs. This role owns and maintains the ETL processes, data warehouse, integrations, and overall data architecture and infrastructure required to enable these initiatives. The Data Engineer works cross‑functionally with BI Analysts, Marketing Operations, Sales Operations, and Customer Success Operations to ensure data is reliable, accessible, and aligned to business objectives. About the Role Partners with the Business Intelligence Analysts, Operations teams, Administrative teams, and Product/Engineering teams to assess and define data needs. Works with business system owners to understand the flow of data in systems. Designs, implements, and manages appropriate data ETL/ELT pipelines and integrations. Builds and maintains necessary data architecture (including databases or data warehouses) to support BI initiatives. Monitors data infrastructure performance, ensuring constant availability and uptime. Researches data architecture best practices and recommends changes that may benefit Bluebeam. Suggests solutions to improve data integrity and processes to drive more efficiency and scalability

Requirements

  • Mid-level in a data management role, with a minimum of 2 years in a data engineering type role
  • Strong analytical and problem-solving skills
  • Experience with project management
  • Proficiency in enterprise data architecture
  • Service-oriented mindset and strong customer focus
  • Excellent time management and ability to prioritize
  • High attention to detail and accuracy
  • Strong written and verbal communication skills
  • Strong organizational skills and ability to multitask
  • SQL experience (examples: PostgreSQL, T-SQL, MySQL, etc)
  • Python & Pyspark experience
  • ETL/ELT experience
  • Data Architecture (Dimensional, Relational)
  • CICD (Jenkins, Git, GitLab)
  • Source Control ( Git, GitLab, Azure DevOps)
  • Cloud data warehousing management experience (examples: Azure SQL, AWS Redshift, GCP Big Query, Snowflake, etc)
  • API querying experience
  • Data privacy and compliance experience

Responsibilities

  • Partners with the Business Intelligence Analysts, Operations teams, Administrative teams, and Product/Engineering teams to assess and define data needs.
  • Works with business system owners to understand the flow of data in systems.
  • Designs, implements, and manages appropriate data ETL/ELT pipelines and integrations.
  • Builds and maintains necessary data architecture (including databases or data warehouses) to support BI initiatives.
  • Monitors data infrastructure performance, ensuring constant availability and uptime.
  • Researches data architecture best practices and recommends changes that may benefit Bluebeam.
  • Suggests solutions to improve data integrity and processes to drive more efficiency and scalability

Benefits

  • People-focused, entrepreneurial culture with the backing of a stable, global, corporate entity – Nemetschek
  • Competitive compensation and benefits package
  • Work-life balance fostered through a culture of diversity, inclusion, and appreciation of individual lifestyle needs
  • Opportunity for continuous professional development through things like Pluralsight, conferences, and certification programs

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

1,001-5,000 employees

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