Data Engineer

RTX

. Design, build, and maintain pipelines ingesting, transforming, and delivering structured and unstructured data .

Posted 9/21/2026full-timeSanta Isabel • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining data pipelines, implementing data access controls, and optimizing workflows for performance across cloud platforms. Proficient in data engineering solutions that adhere to business and compliance requirements while supporting analytics and AI/ML initiatives.

Highest-signal resume keywords

Data Pipeline EngineeringPython ProficiencySQL ProficiencyAWS ExperienceETL/ELT Understanding

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignData TransformationData Access Control ImplementationData ClassificationData Architecture PrinciplesData ModelingAgile MethodologiesAutomation Framework DevelopmentData Integrity ManagementData Lineage Tracking

Soft Skills

CollaborationStakeholder EngagementProblem-Solving

Tools & Technologies

SparkPySparkDatabricksEMRGlueAWSAzureGCP

Industry Keywords

Structured DataUnstructured DataCompliance RequirementsSecurity BoundariesData Governance

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsETLGoogle Cloud PlatformPySparkPythonSparkSQL

About the role

Key responsibilities & impact

Design, build, and maintain pipelines ingesting, transforming, and delivering structured and unstructured data
Engineer data solutions that segment data domains according to business rules, regulatory requirements, and security boundaries
Implement data access controls, classification rules, and protection mechanisms
Build scalable architectures supporting analytics, AI/ML, digital products, and data-driven decision-making
Partner with stakeholders to translate business and compliance requirements into secure data engineering solutions
Optimize workflows for performance, observability, and resiliency across cloud and hybrid platforms
Develop reusable automation and governance-aligned data frameworks
Support production data systems with attention to integrity, lineage, and access auditability

Requirements

What you’ll need

Typically requires a University Degree and minimum 5 years prior relevant experience or an Advanced Degree in a related field and minimum 3 years of experience
Must be a U.S. Citizen
Experience engineering pipelines that handle structured and unstructured data sources, including enterprise content repositories and file systems
Ability to segment, classify, or secure data sets based on business, legal, or compliance requirements
Proficiency in Python, SQL, and data processing frameworks such as Spark, PySpark, Databricks, EMR, or Glue
Experience with AWS, Azure, or GCP and native data services
Strong understanding of ETL/ELT, distributed systems, data modeling, and secure data architecture principles
Ability to work effectively in Agile teams and collaborate across technical and business functions

Benefits

Comp & perks

Medical, dental, and vision insurance
Three weeks of vacation for newly hired employees
Generous 401(k) plan that includes employer matching funds
Participation in the Employee Scholar Program (ESP)
Life insurance and disability coverage
Employee Assistance Plan, including up to 8 free counseling sessions