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RTX · 10 hours ago

Senior Data Engineer (Remote)

United States

Full-time

Remote

Mid, Senior Level

$108K/yr - $204K/yr

5+ years exp

RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. They are seeking a Senior Data Engineer to join the Enterprise Services Data organization, AI Foundations team, where the role involves designing and maintaining scalable data pipelines and collaborating with various teams to ensure efficient data processing and governance.

AerospaceManufacturingSecuritySensorTelecommunications

No H1B

U.S. Citizen Only

Responsibilities

Design, build, and maintain scalable data pipelines that support batch and real-time data processing across structured and unstructured data sources

Develop and optimize ETL/ELT workflows to ensure efficient data ingestion, transformation, and delivery into data warehouses, data lakes, or lakehouse environments

Collaborate closely with data architecture, analytics, ML engineering, and product teams to understand data requirements and translate them into reliable technical solutions

Implement data quality checks, data validation logic, and automated monitoring to ensure accuracy, completeness, and reliability of datasets

Work with cloud platforms (e.g., Azure and AWS) and distributed computing frameworks (e.g., Spark) to build high-performance data systems

Design and maintain metadata, lineage, and documentation that provides transparency into the data lifecycle and supports governance & compliance needs

Optimize data storage, compute, and pipeline performance to reduce cost and increase efficiency

Implement security and access control standards for sensitive data in alignment with organizational policies and compliance regulations

Troubleshoot production data issues, perform root cause analysis, and drive permanent fixes rather than temporary workarounds

Continuously evaluate new tools, technologies, and patterns to improve data engineering capabilities and align with future scalability requirements

Qualification

Data EngineeringPythonETL/ELT ProcessesCloud Computing (AWS/Azure)Data WarehousingData GovernanceAI PipelinesLarge Language ModelsGit/GithubAgile DevelopmentEffective Communication

Required

Bachelor's degree in a STEM discipline with 5+ years of professional experience in data engineering, software engineering, or a similar role, with a strong focus on building and maintaining robust data pipelines

5+ years in programming languages, particularly Python, for building and automating data pipelines and analytics data stores

Experience with Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) processes and tools like Matillion or other replication tool like HVR (Fivetran) or QLIK Replicate

3+ years relevant experience with cloud computing platforms (AWS and/or Azure)

Knowledge of data warehousing concepts, data modeling, and schema design

Understanding of data governance, lineage, quality frameworks, and metadata management

Must be authorized to work in the U.S. without sponsorship now or in the future. RTX will not offer sponsorship for this position

25% travel required within USA

Preferred

A flexible and patient mindset, interested in working on a variety of multi-disciplinary challenges with varying stakeholders, partners, domains, and toolsets

Experience with building AI pipelines that bring together structured, semi-structured and unstructured data. This includes pre-processing with extraction, chunking, embedding and grounding strategies, semantic modeling, and getting the data ready for Models and Agentic solutions

Experience building products that use Large Language Models (LLMs) or LLM APIs

Hands-on experience implementing production ready enterprise grade GenAI data solutions

Experience with Git, Github, or similar version control system, Jira, Confluence, and Agile development

Effective communication and collaboration, especially across development and operations and business stakeholders

Work with stakeholders to gather, prioritize, and document functional and technical needs before translating them into software solutions

Prioritize tasks and manage multiple streams of work efficiently

Benefits

Obtain professional certificates and degrees through the RTX employee scholar program.

Comprehensive benefits package, including medical, dental, vision, life, short term disability, and long term disability benefits.

Paid time off including holidays, sick time, and parental leave.

401(k) with matching.

Rotational programs.

Reward and recognition programs.

Company

RTX

Glassdoor3.8

RTX is comprised of three market-leading businesses – Collins Aerospace, Pratt & Whitney and Raytheon – working as one to answer the biggest questions and solve the hardest problems in aerospace and defense.

Founded in 1922

Arlington, Virginia, USA

10001+ employees