Data 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

GE Aerospace’s Commercial Engine Services BI team is hiring a Staff Data Engineer to design and support production data pipelines that convert raw operational inputs into trusted, analytics-ready datasets. In this hands-on role, you will build scalable transformations for both real-time and batch analytics, while enabling AI/ML-ready data through strong data quality, monitoring, and cross-team collaboration.

This position is based in Evendale, OH and supports fully remote arrangements across the United States. In-person attendance is required for New Hire Orientation on Day 1.

What you’ll do

Build production-grade data pipelines that transform raw operational data into analytics-ready datasets for applications, reports, and AI/ML models
Implement multi-layer transformation logic using medallion architecture, including efficient data cleaning, enrichment, and aggregation
Develop incremental loading patterns with schema evolution handling and data versioning to maintain reliability and backward compatibility
Schedule and orchestrate automated data refreshes for real-time reporting
Optimize pipeline performance for large datasets using partitioning, caching, indexing, and aggregation strategies aligned to dashboard performance needs
Troubleshoot pipeline failures, data quality problems, and performance bottlenecks, then implement fixes and preventive measures
Create automated data quality checks covering null validation, range checks, referential integrity, business rule enforcement, and schema drift detection
Implement validation frameworks to identify data issues early before they impact downstream dashboards or models
Monitor data quality metrics and alerts, investigate anomalies, communicate with stakeholders, and coordinate remediation with source system owners
Build data quality monitoring systems and reporting that provide visibility into pipeline health, data freshness, record counts, and quality trends
Document known data quality issues, workarounds, and resolution plans in a knowledge base for the BI team
Implement pipeline monitoring and alerting for failures, 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 translate dashboard and reporting requirements into transformation code
Collaborate with software engineers on training dataset preparation, feature pipelines, and data quality for forecasting and machine learning models
Work with the Data Platform Architect to follow architectural patterns, coding standards, and adopt platform capabilities such as data cataloging, monitoring frameworks, and CI/CD pipelines
Support BI with data questions, query optimization, and dataset troubleshooting, including guidance on efficient querying
Coordinate with the CDAIO team on source system integrations, data contracts, and ingestion layer requirements
Write documentation for pipelines including business logic, transformation steps, data lineage, dependencies, refresh schedules, and SLAs
Create dataset data dictionaries with column definitions, data types, expected values, refresh frequency, and usage examples
Maintain runbooks for common troubleshooting scenarios and document validation logic, data quality rules, and known issues
Follow software engineering best practices including Git-based version control, code review, automated testing, and CI/CD integration
Contribute reusable SQL and Python utilities, templates, and patterns to accelerate pipeline development

Required qualifications

Bachelor’s Degree in Computer Science, Information Systems, or related field from an accredited college/university (or a high school diploma/GED with a minimum of 4 years of relevant data engineering experience)
Minimum of 5 years of hands-on experience building production data pipelines and ETL/ELT processes
Expert-level SQL skills including complex joins, window functions, CTEs, aggregations, and query optimization for large datasets
Strong Python skills and familiarity with the PySpark DataFrame API, including transformations, actions, and optimization
Proven experience building ETL/ELT pipelines 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 with 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

Compensation and 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; commission eligibility may apply based on the plan
Expected posting close date: Friday, October 2nd, 2026

Benefits

Healthcare benefits: medical, dental, vision, and prescription drug coverage
Health Coach access from GE Aerospace
Employee Assistance Program (24/7 confidential assessment, counseling, and referral services)
GE Aerospace Retirement Savings Plan including a 401(k) with company matching contributions 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

Location and eligibility

Onsite at the Evendale, OH campus is indicated; however, the role is eligible for fully remote arrangements across the United States
In-person requirement: New Hire Orientation on Day 1

Relocation

Relocation assistance: Not provided

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