Senior Data Engineer

Job Description SummaryThe Senior Data Engineer is responsible for the design, implementation, and maintenance of scalable and high-integrity data integration solutions across multiple systems, supporting the needs of both the AI Team and Enterprise Solutions Teams. This role will lead efforts to architect robust data ecosystems that include traditional relational databases, graph-based knowledge systems, and modern ETL pipelines to support analytics, machine learning, and enterprise application needs. This position also includes direct responsibilities in data profiling, metadata and dictionary development, data modeling, and Master Data Management (MDM) support, ensuring both business and technical data integrity throughout the full data lifecycle.

Job Description

Key Responsibilities:
Data Architecture & Modeling

• Translate business needs into short-term and long-term data architecture strategies.
• Design, build, and optimize conceptual, logical, and physical data models, including both relational databases and graph databases (knowledge graphs).
• Build both OLTP and OLAP models to support operational and analytical use cases.
• Define and implement data modeling standards, naming conventions, and governance processes.
• Develop and maintain data mapping specifications and support impact analysis of downstream systems.
• Recommend strategies to reduce redundancy, improve reuse, and ensure scalability of models.

Knowledge Graph & Semantic Layer Development

• Design and implement knowledge graphs to enhance semantic understanding, relationship modeling, and AI explainability.
• Define ontologies and ensure schema alignment between enterprise data and graph structures.
• Integrate knowledge graph systems with both structured and unstructured data sources (XML, JSON, etc.).

ETL/ELT and Data Integration

• Perform data profiling and analysis for source systems, manually maintained data, machine-generated data, and target repositories.
• Build and maintain ETL/ELT pipelines using tools such as Informatica, Talend, or custom code in Python or Java.
• Design automated data loads and transformations aligned with data mapping and business logic.
• Maintain metadata structures to support reusable ETL components and monitor pipeline performance.

Database & Interface Design

• Architect and maintain enterprise databases for operational and analytical workloads.
• Reverse-engineer schemas from existing SQL databases and integrate legacy systems into modern architecture.
• Develop and recommend user interfaces, data services, and visual tools to enable data access, curation, and reporting.
• Perform root cause analysis of data issues and support Data Quality (DQ) rule creation and validation.

Data Governance & Quality Assurance

• Build technical data dictionaries and contribute to business glossaries.
• Define and enforce data integrity, validation rules, auditability standards, and governance practices.
• Support data lineage, data cataloging, and data discovery tools (e.g., Alation, Collibra, TAMR).
• Assist with Master Data Management (MDM) initiatives and reference data standardization.

Cross-Functional Collaboration

• Partner closely with AI/ML engineers, software developers, data scientists, and business stakeholders to design and deliver scalable data solutions.
• Understand interdependencies between teams (e.g., UX, product, enterprise) and align data strategies accordingly.
• Identify opportunities for reusable services and shared architecture components.

Project Execution

• Execute deliverables using Agile methodologies, ensuring iterative progress, scalability, and business value.
• Provide post-deployment support to ensure adoption, performance, and issue resolution.
• Contribute to internal knowledge sharing and drive best practices across the data engineering community.
   

Minimum Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a STEM-related field and 3+ years of experience in data processing, applications, or software development.
• OR a high school diploma / GED with a minimum of 7 years of experience in data processing, applications, or software development.

Preferred Experience:

• 5+ years of hands-on experience in data architecture, ETL development, and database design.
• Proficiency in SQL (Oracle, PostgreSQL, MySQL, HiveQL), Python, and/or Java.
• Experience with Big Data ecosystems (Hadoop, Spark, Hive, NoSQL like Cassandra or HBase).
• Familiarity with data modeling tools (e.g., ERWin, ER/Studio).
• Exposure to AI/ML pipelines and data requirements for training and inference.
• Experience working with cloud platforms (AWS, Azure, or GCP).
• Ability to conduct exploratory data analysis and proactively identify data quality issues.
• Experience with unstructured data handling, including XML, JSON, and document stores.
   

Leadership & Communication

• Strong cross-functional collaboration skills and the ability to influence data strategy across teams.
• Excellent verbal and written communication, including technical presentations.
• Comfortable working in fast-paced, agile, and collaborative environments.

Pay and Benefits:

• The salary range for this position outside of Boston, MA is $93,000.00 - 124,000.00. For those residing in Boston, MA area, the salary range for this position is $111,600 - $148,800. The specific salary offered to a candidate may be influenced by a variety of factors including the candidate’s experience, their education, and the work location. In addition, this position is eligible for a performance bonus/variable incentive plan.

GE Aerospace offers comprehensive benefits and programs to support your health and, along with programs like HealthAhead, your physical, emotional, financial and social wellbeing. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach from GE Aerospace; and the Employee Assistance Program, which provides 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Aerospace Retirement Savings Plan, a 401(k) savings plan with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness. ​

GE Aerospace (General Electric Company or the Company) and its affiliates each sponsor certain employee benefit plans or programs (i.e., is a “Sponsor”). Each Sponsor reserves the right to terminate, amend, suspend, replace or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor’s welfare benefit plan or program. This document does not create a contract of employment with any individual.

This role requires access to U.S. export-controlled information. Therefore, for applicants who are not U.S. lawful permanent residents, U.S. Citizens, or have been granted asylee or refugee status (i.e., not a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3), otherwise known as a U.S. Person), employment will be contingent on the ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government.

Additional Information

#LI-Remote - This is a remote position