Developer Jobs in Evendale, OH

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Staff Data Engineer

GE Aerospace Evendale, OH 🇺🇸 Remote

Evendale, OH

Today

$112k - $150k/yr Full time Amazon Web Services Analytics AWS

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Job Description

Staff Data Engineer role on GE Aerospace’s Commercial Engine Services BI team, building production data pipelines that power real-time and batch analytics and AI/ML.

Responsibilities

Design and build production-grade data pipelines that convert raw operational data into analytics-ready datasets for applications, reports, and AI/ML models
Implement multi-layer transformation logic using medallion architecture (data cleaning, enrichment, aggregation, and business logic)
Develop and maintain incremental loading, handle schema evolution, and apply data versioning to support reliability and backward compatibility
Schedule and orchestrate automated data refreshes for real-time reporting through automated pipeline runs
Optimize performance for large datasets using partitioning, caching, indexing, and aggregation strategies aligned to dashboard performance requirements
Troubleshoot pipeline failures, data quality issues, and performance bottlenecks; implement fixes and preventive measures to reduce repeat incidents
Create automated data quality checks, including:
- null validation, range checks, referential integrity
- business rule enforcement
- schema drift detection
Implement data validation frameworks to detect issues early so downstream dashboards or models are not impacted
Monitor data quality metrics and alerts; investigate anomalies, communicate with stakeholders, and coordinate remediation with source system owners
Build data quality monitoring systems and reports covering pipeline health, data freshness, record counts, and quality trends over time
Document known data quality issues, workarounds, and resolution plans; maintain a knowledge base for the BI team
Implement monitoring and alerting for pipelines to track failures, data freshness, quality issues, compute costs, and execution times
Perform root cause analysis for data incidents, document findings, and implement preventive actions
Partner with BI analysts to understand dashboard and reporting needs; translate business logic into transformation code
Collaborate with software engineers to create training datasets, feature pipelines, and supporting data quality for forecasting and machine learning models
Work with the Data Platform Architect to follow architectural patterns, coding standards, and platform capabilities (data cataloging, monitoring frameworks, CI/CD pipelines)
Support BI with data questions, query optimization, and troubleshooting, including guidance for efficient dataset querying
Coordinate with the CDAIO team on source system integrations, data contracts, and ingestion layer requirements
Produce clear documentation for pipelines, including business logic, transformation steps, data lineage, dependencies, refresh schedules, and SLAs
Create and maintain data dictionaries (column definitions, data types, expected values, refresh frequency, and usage examples)
Document data quality rules and validation logic; maintain runbooks for common troubleshooting scenarios
Apply software engineering best practices including version control (Git), code review, automated testing, and CI/CD integration
Contribute reusable SQL/Python utilities, templates, and patterns to accelerate pipeline development across the team

Requirements

Bachelor’s Degree in Computer Science, Information Systems, or a related field from an accredited college or university
Alternative: high school diploma / GED with minimum 4 years of relevant data engineering experience
At least 5 years of hands-on experience building data pipelines and ETL/ELT processes in production environments
Expert SQL skills: complex joins, window functions, CTEs, aggregations, and query optimization for large datasets
Python programming skills and familiarity with PySpark DataFrame API (transformations, actions, optimization techniques)
Proven experience building ETL/ELT on cloud data platforms such as Databricks, Snowflake, AWS Glue, or similar
Understanding of dimensional modeling, slowly-changing dimensions, aggregate tables, and analytics-optimized data structures
Experience implementing automated data validation, schema checks, and data quality frameworks
Familiarity with cloud data services, including compute optimization and cost management
Experience using Git workflows, code review practices, and automated testing for data pipelines

Technologies

SQL, Python, PySpark
Databricks, Snowflake, AWS Glue
Git, CI/CD
Medallion architecture, ETL, ELT

Benefits

Healthcare benefits: medical, dental, vision, and prescription drug coverage
Access to a Health Coach from GE Aerospace
Employee Assistance Program (24/7 confidential assessment, counseling, and referral services)
GE Aerospace Retirement Savings Plan (401(k) with company matching and company retirement contributions)
Access to Fidelity resources and planning consultants
Tuition assistance
Adoption assistance
Paid parental leave
Disability insurance
Life insurance
Paid time-off for vacation or illness

Desired Characteristics

Experience working with supply chain, manufacturing, maintenance, contracts, or related domains is a strong plus
Initiative to explore alternate pipeline approaches using clear tradeoff analysis
Comfort working with ambiguous requirements; asks clarifying questions and validates assumptions with stakeholders
Stays current with modern data engineering patterns
Writes clear documentation and data dictionaries; explains data issues and tradeoffs to non-technical stakeholders
Works effectively with BI analysts, Data Platform Architect, and AI/ML engineers
Self-driven to improve SQL/Python skills, learn new tools, and adopt modern data engineering best practices

Work Location / Remote Eligibility

Onsite at the Evendale, OH campus
Eligible for fully remote arrangements across the United States
In-person attendance required for New Hire Orientation on Day 1

Pay / Posting Details

Base pay range: $112,000 to $150,000 per year
Eligible for an annual discretionary bonus based on a percentage of base salary (or commission based on the plan)
Expected posting close date: Friday, October 2, 2026

Relocation

Relocation assistance provided: No

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