Data Engineer

PBK

Data Engineer designing, building, and supporting data pipelines and integrations at PBK. Collaborating across enterprise platforms to ensure reliable and governed data for analytics and reporting.

Posted 6/23/2026full-timeDallas • Florida, Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AzureCloudETLKafkaPostgresPythonSDLCSOAPSparkSQL

About the role

Key responsibilities & impact

Design, build, operate, and support ETL/ELT pipelines and integrations across enterprise systems, including Salesforce, Deltek Vantagepoint, Autodesk data sources, Azure, and Microsoft Fabric
Implement data models, curated datasets, Lakehouse/Warehouse structures, and transformation layers to support BI, reporting, AI, and machine learning use cases
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
Apply event-driven integration patterns using Event Grid, Service Bus, Kafka concepts, or similar technologies where appropriate
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

Requirements

What you’ll need

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; directly relevant experience, certifications, or training demonstrating comparable expertise in data pipelines, integrations, cloud data platforms, APIs, data governance, and secure data workflows may be considered in lieu of a degree
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
Operational discipline with the ability to maintain, monitor, troubleshoot, and improve mission-critical data flows over time

Benefits

Comp & perks

Additional PTO between Christmas and New Years
Your birthday off
Community involvement through recreation & service
Hybrid schedule & remote work options
Flexible "dress for your day" policy
Paid parental leave for birth or adoption
Firm covers employee healthcare premiums
401(k) program
Costco / Sam's Club membership
$4,000 license bonus
Dynamic company with quick advancement
Online professional licensure exam prep library
Opportunities to work on a variety of project types
Weekly continuing education lunch & learn sessions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

ETLELTdata modelingSQLPythonAPI developmentdata governancedata quality checksorchestrationmachine learning

Soft Skills

communicationoperational disciplinetroubleshootingincident responseroot-cause analysiscollaborationclear communication

Certifications

Bachelor’s degree in Computer ScienceData EngineeringInformation SystemsEngineering