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RTX

1 day ago

Data Engineer (Hybrid)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Reposted: similar role first listed 2 days ago

Job Summary

Design, build, and maintain secure data pipelines that ingest structured and unstructured data, segment data domains with business and regulatory boundaries, and enable analytics, AI/ML, and digital products. Partner with cross-functional teams to translate compliance needs into reliable data solutions, optimize workflows for performance and resiliency across cloud and hybrid platforms, and support production systems with strong data integrity, lineage, and auditability.

Location: Charlotte

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, build, and maintain data pipelines that ingest, transform, and deliver structured and unstructured data from sources including databases, ERP/CRM systems, file shares, SharePoint repositories, images, documents, logs, and engineering artifacts.
•Engineer data solutions that segment data domains logically and physically using business rules, regulatory requirements, and security boundaries.
•Implement strict data access controls, classification rules, and data protection mechanisms to support secure data separation across environments.
•Build scalable architectures supporting analytics, AI/ML, digital products, and data-driven decision making, and optimize data workflows for performance, observability, and resiliency across cloud and hybrid platforms.
•Support production data systems with attention to data integrity, lineage, and access auditability, partnering with stakeholders to meet complex business and compliance requirements.

Pay and Benefits

Salary: USD 86,800 - 165,200 annually

Perks:Health InsuranceDentalVision401kStudent LoanLife InsuranceDisabilityParental LeavePaid LeaveCounseling SessionsChild CareElder CareFertility SupportAdoption Assistance

Key Requirements

•Typically requires a university degree with at least 5 years of relevant experience, or an advanced degree with at least 3 years of experience.
•Must be a U.S. citizen.
•Experience engineering pipelines that handle both structured and unstructured data from enterprise content repositories and file systems.
•Demonstrated ability to segment, classify, or secure data sets based on business, legal, or compliance requirements.
•Proficiency in Python and SQL, plus data processing frameworks such as Spark/PySpark and Databricks/EMR/Glue, and strong ETL/ELT and secure data architecture knowledge.

Experience:5+ years

Skills:Agile collaborationCross-functional collaborationData stewardshipObservabilityResiliency

Tech Stack:PythonSQLSparkPySparkDatabricksEMRGlueAWSAzureGCPETLELTSharePointOCRText extractionImage handlingAI/MLAgileTerraformCloudFormation

Eligibility

Nationality:US National

Company Brief

RTX

Designs, manufactures, and services aerospace and defense systems, including aircraft engines, avionics, aerostructures, missiles, and cybersecurity solutions for commercial, military, and government customers worldwide.

Industry: Aerospace Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Arlington, United States

Founded: 2020

Website