Data Engineer

RTX

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

Posted 9/21/2026full-timeUnited StatesMid-LevelSenior💰 $86,800 - $165,200 per yearWebsite

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 and security. Proficient in Python, SQL, and cloud platforms, with a strong understanding of data governance and compliance requirements.

Highest-signal resume keywords

Data Pipeline EngineeringPython ProficiencySQL ProficiencyAWS/Azure/GCP ExperienceETL/ELT Understanding

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignData TransformationData Access ControlsData ClassificationData Protection MechanismsData ModelingData GovernanceData IntegrityData LineageData Architecture

Soft Skills

CollaborationAgile TeamworkCross-Functional Communication

Tools & Technologies

SparkPySparkDatabricksEMRGlueTerraformCloudFormationGitHub ActionsJenkins

Industry Keywords

Regulatory RequirementsCybersecurityComplianceAerospaceDefenseManufacturing

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityDistributed SystemsETLGoogle Cloud PlatformJenkinsPySparkPythonSparkSQLTerraform

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

University Degree and minimum 5 years prior relevant experience, or an Advanced Degree in a related field and minimum 3 years of experience
U.S. citizenship required
Experience engineering pipelines handling 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
Preferred: experience with strict security boundaries, data separation, or access controls
Preferred: familiarity with document processing, OCR, text extraction, image handling, or large unstructured content repositories
Preferred: background with data governance, lineage, auditability, and automated policy enforcement
Preferred: experience integrating data from SharePoint, network file shares, and legacy content systems
Preferred: knowledge of AI/ML data preparation, feature pipelines, or high-sensitivity data sets
Preferred: experience with Terraform, CloudFormation, GitHub Actions, or Jenkins
Preferred: prior experience in aerospace, defense, manufacturing, or other regulated industries

Benefits

Comp & perks

Medical, dental, and vision insurance
Three weeks of vacation for newly hired employees
401(k) plan with employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option
Tuition reimbursement program
Student Loan Repayment Program
Life insurance and disability coverage
Optional pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, and ID theft protection
Birth, adoption, and parental leave benefits
Ovia Health, fertility, and family planning
Adoption Assistance
Autism Benefit
Employee Assistance Plan, including up to 10 free counseling sessions
Healthy You Incentives wellness rewards program
Doctor on Demand virtual doctor visits
Bright Horizons child and elder care services
Teladoc Medical Experts second opinion program
Medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays
Potential annual short-term and/or long-term incentive compensation programs (not guaranteed)