Data Engineer, Operations Analytics

Rowan Digital Infrastructure

. Build and evolve the team’s data platform on Azure and Databricks, including ingestion, storage, and curated layers .

Posted 11/4/2026full-timeUnited StatesMid-LevelSenior💰 $109,000 - $125,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and evolving data platforms on Azure and Databricks, with a strong focus on data ingestion, storage, and quality monitoring. Proficient in collaborating with cross-functional teams to support AI and LLM applications while ensuring compliance and effective documentation.

Highest-signal resume keywords

Data Platform DevelopmentDatabricks Pipeline ManagementAzure Cloud ServicesData Quality MonitoringAI and LLM Applications

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonSparkData ModelingData Quality ChecksChange Control PracticesDocument ParsingVector Search IndexesProduction Pipeline DesignData Dictionary Maintenance

Soft Skills

Clear DocumentationCommunication with Stakeholders

Tools & Technologies

DatabricksAzureTableauAI/BI GenieClaude CodeAirtable

Industry Keywords

Data EngineeringAnalytics EngineeringOperational DatasetsTime-Series DataTelemetry DataCompliance

Tech Stack

Tools & technologies

AzureCloudPythonSparkSQLTableauUnity

About the role

Key responsibilities & impact

Build and evolve the team’s data platform on Azure and Databricks, including ingestion, storage, and curated layers
Govern the workspace through Unity Catalog, including catalog and schema design, permissions, lineage, and data classification
Own ingestion into Databricks from the agreed handoff point with vendor partners and IT, and review upstream building and facility data platform work
Design, build, test, and monitor production pipelines for power, cooling, equipment, and monitoring data
Define and maintain reference data standards and a data dictionary
Build data quality checks, monitoring, alerts, and runbooks
Publish and maintain curated tables serving models, Tableau scorecards, and KPIs
Partner with the Data Scientist to build and maintain Genie spaces and LLM-powered tools
Prepare and maintain data for AI and language model use cases, including document and text ingestion, vector search indexes, and retrieval pipelines
Serve as second owner of the Databricks workspace and co-own change control, code review, and development/production environments
Partner with Data Science, Operations, Reliability, Engineering, IT, Reporting, and Business Analyst teams
Create repeatable exports of platform evidence, including access and activity logs, to support audits and Compliance

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience
3+ years of experience in data engineering, analytics engineering, or a related data platform role
Hands-on experience building data platforms and operating production pipelines in Databricks using SQL, Python, and Spark
Experience with Azure data and cloud services, including storage, networking, and identity concepts
Experience using AI-assisted development tools such as Claude Code to build, review, and document code
Experience with data modeling, data quality monitoring, and change control practices such as code review and separate development and production environments
Experience with complex operational datasets, including time-series or telemetry data
Ability to document standards clearly and communicate with technical and non-technical stakeholders
Experience building data pipelines for AI and LLM applications, such as document parsing and chunking, embedding generation, vector search indexes, and retrieval evaluation
Preferred familiarity with Databricks, AI/BI Genie, Vector Search, Model Serving, Tableau, and Airtable
Preferred experience with data center, industrial, or building systems data
Ability to travel up to 25% for company gatherings or to project sites
Must answer whether employment visa sponsorship in the United States is required now or in the future

Benefits

Comp & perks

Hybrid working environment
Team building and educational opportunities
Robust health benefits
401(k)-company contribution
Unlimited PTO
RTD ECO pass or parking reimbursement
Competitive compensation, bonus, and an incentive plan
Relocation assistance on a case-by-case basis