Data Engineer

RTX

. Design, implement, and maintain data governance and architecture capabilities using Databricks Unity Catalog .

Posted 10/27/2026full-timeRemote • District of Columbia • United StatesSeniorLead💰 $107,500 - $204,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data governance, architecture, and engineering, with a strong focus on Databricks Unity Catalog, SQL, and Python. Proven ability to develop and maintain data pipelines, implement data quality checks, and support machine learning workflows in an Agile environment.

Highest-signal resume keywords

Databricks Unity CatalogData GovernanceSQLPythonData Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Quality ManagementData ModelingETL ProcessesMachine Learning PipelinesDelta LakeReference ArchitecturesData Annotation WorkflowsFeature EngineeringMetadata ManagementAgile Development

Soft Skills

CollaborationPrioritizationCommunication

Tools & Technologies

MLflowMicrosoft FabricDelta SharingAnnotation ToolsVector Databases

Industry Keywords

Data WarehousingDimensional ModelingInformation ArchitectureNLPMetrics and KPIs

Tech Stack

Tools & technologies

ETLPythonSQLUnity

About the role

Key responsibilities & impact

Design, implement, and maintain data governance and architecture capabilities using Databricks Unity Catalog
Implement automated data quality checks, monitoring, and alerts, and coordinate remediation workflows
Integrate data platforms with Microsoft Fabric and expose trusted Gold-layer data products through enterprise data marketplaces
Develop and maintain reference architectures, data engineering standards, and technical documentation
Build data annotation workflows and labeling interfaces in Databricks
Track annotation progress, data quality, and dataset versions for ML training and inference
Develop LLM and RAG pipelines, including document ingestion, chunking, embedding generation, and vector search
Support machine learning pipelines through feature engineering, batch and real-time scoring, and data monitoring
Maintain MLflow capabilities for experiment tracking and model registry management
Design and maintain data classification schemas, taxonomies, and labeling specifications
Own and enhance Gold-layer data products, including experience arrays and friction signal aggregates
Integrate new data sources, implement business rules, and develop consumption-ready data views and APIs
Maintain data dictionaries, product documentation, and metadata
Collaborate with cross-functional teams in an Agile development environment to deliver scalable data solutions

Requirements

What you’ll need

U.S. citizenship is required
University Degree or equivalent experience and a minimum of 8 years of prior relevant experience, or an Advanced Degree in a related field and a minimum of 5 years of experience
5+ years of experience in data engineering or analytics engineering, preferably using Databricks or a similar lakehouse platform
Experience with SQL, Python, and Delta Lake
Experience with Unity Catalog, data governance, and data quality management
Experience building and maintaining data pipelines for machine learning training and inference
Experience with data modeling, classification schemas, and taxonomies
Extensive experience with data warehousing concepts, dimensional modeling, and ETL processes
Experience working in an Agile development environment and managing multiple priorities
Experience with Microsoft Fabric, Delta Sharing, or cross-platform data sharing preferred
Familiarity with annotation tools, NLP, and vector databases preferred
Experience with MLflow or similar tools preferred
Background in metrics and KPIs, information architecture, or IT and infrastructure domains preferred

Benefits

Comp & perks

Healthcare, wellness, retirement and work/life benefits
Parental (including paternal) leave
Flexible work schedules
Achievement awards
Educational assistance
Child/adult backup care
Medical, dental, and vision insurance
Life insurance
Short-term disability
Long-term disability
401(k) match
Flexible spending accounts
Employee assistance program
Employee Scholar Program
Paid time off and holidays
Annual short-term and/or long-term incentive compensation programs may be available