PBK
Data Engineer
Dallas, Texas, USA · full-time
Sponsorship not specifiedDetected 26 days ago
PythonGitSQLPostgreSQLSnowflakeDatabricksAzureCI/CDDevOpsRESTKafkaMachine LearningSparkAirflowdbtData EngineeringData VisualizationRAGIncident ResponseSalesforce
About the role
- The Data Engineer designs, builds, and supports the data pipelines, integrations, and curated datasets that power analytics, reporting, and AI initiatives for PBK's Architecture vertical and broader AEC operations. This role owns integrations across enterprise platforms, including Salesforce, Deltek Vantagepoint, Autodesk data sources, Azure, and Microsoft
- Fabric. The Data Engineer ensures data is reliable, governed, secure, and available to support business visibility, project delivery, automation, and decision-making. Your Impact: Design, build, operate, and support ETL/ELT pipelines and integrations across enterprise systems, including Salesforce, Deltek Vantagepoint, Autodesk data sources, Azure, and
Responsibilities
- Design, build, operate, and support ETL/ELT pipelines and integrations across enterprise systems, including Salesforce, Deltek Vantagepoint, Autodesk data sources, Azure, and Microsoft Fabric.
- Build and support API-first data services, data contracts, and integration workflows using REST, JSON, SOAP where applicable, webhooks, and related patterns.
- Develop orchestration and scheduling processes using Microsoft Fabric Data Pipelines, Azure Data Factory, Azure Logic Apps, Functions, Spark notebooks, dbt, or similar tools.
- Own the operational reliability of pipelines and integrations, including monitoring, alerting, incident response, troubleshooting, root-cause analysis, and remediation.
- Implement data quality checks, validation, lineage, documentation, and governance practices to ensure data is accurate, trusted, and usable.
- Partner with analytics, application, IT/Security, and business teams to support secure access, data governance, compliance, and reliable data delivery.
- Support AI initiatives by preparing reliable datasets, including AI/ML pipelines or RAG-oriented datasets where applicable.
- Use AI tools responsibly to improve productivity, accelerate development, support testing, and improve documentation while maintaining security and quality standards.
- Operational discipline with the ability to maintain, monitor, troubleshoot, and improve mission-critical data flows over time.
- Strong integration owner mindset with the ability to build solutions that are maintainable, observable, secure, and supportable.
Requirements
- 5+ years of experience designing, building, and operating production data pipelines and integrations.
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related field
- Strong SQL skills and experience with PostgreSQL or similar relational databases.
- Proficiency in Python for data engineering, automation, and workflow development.
- Hands-on experience with Microsoft Azure data services and Microsoft Fabric, or equivalent cloud data platforms.
- Experience with ETL/ELT pipelines, data modeling, curated datasets, orchestration, and production data workflows.
- Strong experience with APIs and integration patterns, including REST, webhooks, authentication, error handling, retry strategies, and cross-system data movement.
- Familiarity with SDLC and CI/CD for data workflows using GitHub Enterprise, Azure DevOps, or similar tools.
- Strong understanding of security, data governance, access controls, and secure handling of sensitive business information.
- Ability to communicate clearly with technical and non-technical stakeholders in an AEC or similar business environment.
Skills
- Apply event-driven integration patterns using Event Grid, Service Bus, Kafka concepts, or similar technologies where appropriate.
Benefits
- Implement data models, curated datasets, Lakehouse/Warehouse structures, and transformation layers to support BI, reporting, AI, and machine learning use cases.
Company info
- Here's How You'll Stand Out: Experience integrating enterprise platforms such as Salesforce, Deltek Vantagepoint, Autodesk Forma, Autodesk data management services, Microsoft 365, or similar systems.
This listing is sourced directly from PBK's careers page and normalized into a canonical job model.