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Digital Realty

Data Workflow Engineer – AI & Automation Focus

Digital Realty

Data Workflow Engineer for Digital Realty transforming occupancy and lease analytics into automated workflows. Designing end-to-end data pipelines and collaborating with AI and automation teams.

Posted 6/24/2026full-timeDallas • Massachusetts, Texas, Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $107,800 - $163,350 per yearWebsite

Tech Stack

Tools & technologies
AirflowAmazon RedshiftAzureBigQueryCloudETLPythonSQL

About the role

Key responsibilities & impact
  • Design, build, and maintain end-to-end data pipelines to consolidate and transform occupancy, lease, and facilities data from multiple sources
  • Develop automated validation and reconciliation frameworks to improve data quality and reduce manual effort
  • Analyze current workflows, identify pain points, and translate them into scalable data engineering solutions
  • Collaborate with business and technical stakeholders to align solutions with operational needs
  • Partner with offshore teams to automate repetitive processes and improve overall efficiency
  • Implement monitoring and alerting systems to proactively identify and resolve data issues
  • Explore and apply AI/ML techniques (e.g., anomaly detection, intelligent data matching) to enhance validation and insights
  • Continuously improve workflows and processes to increase scalability, accuracy, and performance

Requirements

What you’ll need
  • 3+ years of experience in data engineering or a related field
  • Strong proficiency in Python and SQL
  • Hands-on experience with ETL/ELT pipelines and orchestration tools (e.g., Airflow, dbt, Prefect)
  • Experience working with cloud data platforms (e.g., Snowflake, BigQuery, Redshift, Azure Synapse)
  • Solid understanding of data modeling, data quality, and reconciliation best practices
  • Proven ability to solve complex data challenges and work independently
  • Strong communication skills with the ability to work across technical and non-technical teams
  • Experience with enterprise systems (e.g., lease, occupancy, facilities platforms) is a plus
  • Foundational knowledge or interest in AI/ML concepts (e.g., anomaly detection, NLP, classification)
  • Curiosity and willingness to learn new tools and technologies, especially in AI and automation

Benefits

Comp & perks
  • medical
  • dental
  • vision
  • life and AD&D insurance
  • 401k match
  • disability benefits
  • wellness and education benefits
  • employee stock purchase plan
  • paid time off
  • holidays
  • more

ATS Keywords

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Hard Skills & Tools
PythonSQLETLELTdata modelingdata qualityreconciliationAIMLanomaly detection
Soft Skills
communicationproblem-solvingcollaborationcuriosityindependence