Oracle Jd Edwards Engineer Jobs

1 job found

1mo ago

Data Engineer, Finance Data & BI

MCKESSON Richmond, VA

Richmond, VA

1mo ago Closed

$107k - $178k/yr Full time Analytics Business Intelligence Cloud

This position is no longer accepting applications (closed Jul 2, 2026).

Job Description

McKesson offers competitive compensation and a hybrid work model: This Data Engineer role sits on the Finance Solutions team in Richmond, VA and focuses on designing, building, and maintaining scalable data pipelines and analytics-ready datasets for Finance Data & BI to support reporting, planning, forecasting, automation, and AI/ML within governed data environments. The position combines hands-on technical work with cross-functional collaboration across Finance, BI, and Data Product teams, and provides a hybrid schedule with in-office collaboration.

Responsibilities

Tackle end-to-end data challenges across the full data stack, from advanced data wrangling with SQL, Python, Spark or similar, to delivering production‑scale, stakeholder‑ready data solutions.
Architect new data solutions and reengineer existing architectures, including optimized data structures, relational databases, and database code.
Build, test, and maintain robust ETL/ELT pipelines on modern cloud technologies to support analytics and AI/ML workloads.
Develop and maintain database code, including stored procedures, functions, and performance‑oriented transformations.
Create and maintain ETL processes and participate in CI/CD deployment workflows using GitHub Actions or similar tools.
Design and optimize data models, such as dimensional modeling, within the Finance data environment.
Optimize data architecture for performance, scalability, and cost efficiency across large financial datasets.
Implement automated data quality checks, anomaly detection, and validation processes to ensure accuracy for downstream analytics and AI use cases.
Ensure all data solutions meet financial governance and compliance standards, including SOX requirements.
Collaborate with Finance teams (Accounting, FP&A), BI, and Data Product partners to translate complex business requirements into scalable technical solutions.
Communicate technical concepts clearly to non-technical stakeholders, balancing innovation with operational risk and controls.
Enable trusted data environments required for forecasting models, scenario planning, and AI‑driven insights.
Contribute to the strategic evolution of the Finance data platform by evaluating and piloting emerging tools and technologies.

Requirements

Minimum of four years of relevant experience as a data engineer.
Four or more years of hands-on experience with data warehouse solutions, cloud platforms, relational databases, and data visualization or dashboarding tools.
Four or more years of experience working with structured and unstructured data in batch and real-time processing environments.
Strong proficiency in object‑oriented programming languages such as Python, Java, or C#.
Experience with Google Cloud Platform (GCP) is preferred.
Proven enterprise experience building and optimizing cloud‑based data solutions, supporting business‑critical systems, and designing or supporting production‑scale AI/ML data pipelines.
Experience with data governance by design, data warehousing and ETL best practices, and CI/CD with GitHub.

Technologies

SQL, Python, Spark
Google Cloud Platform (GCP)
GitHub Actions, GitHub
Matillion, PySpark
Oracle JD Edwards, Snowflake, Databricks, Teradata
Java, C#

Benefits

Base pay range: $106,500 - $177,500 per year
Annual bonus or long‑term incentive opportunities may be offered

Hybrid expectations

This role is based in Richmond, VA with 3 to 5 days in the office each month.
Candidates should reside within a reasonable commuting distance (within 60 miles of Richmond).
Relocation assistance is not available for this role.

Compensation

Base: $130,000 to $140,000
10% annual incentive

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