Data Engineer

Must be USC

Must have

Cloud Database Platforms (preferably Snowflake)

Python

SQL

MRP/ERP Systems (SAP)

Title: Data Engineer

Duration: Through the end of year and most likely next year will know more at the end of the year

Location: Remote

We have an urgent need in seeking one data engineer with advanced expertise in Cloud Database Platforms (preferably Snowflake), Python, and MRP/ERP Systems (SAP) . The position is anticipated to be for the duration of 2025 – 2026 but subject to budgetary impacts which could result in a shorter or longer duration. We will be soliciting resumes from various vendors and down-selecting to the best candidate pool, for interview scheduling, once resumes are received.

The engineer will join an experienced team to design and deliver impactful data products. The ideal candidate is passionate data engineering and empowering customers with analytics solutions.

Key Responsibilities

• Develop and optimize complex batch and near-real-time SQL queries to meet product requirements and business needs.

• Design and implement core foundational datasets that is reusable, scalable, and performant.

• Architect, implement, deploy, and maintain data-driven solutions in Snowflake and Databricks.

• Develop and manage data pipelines supporting multiple reports, tools, and applications.

• Conduct advanced statistical analysis to yield actionable insights, identify correlations/trends, measure performance, and visualize disparate sources of data.

Required

• 5+ years in in operations, supply chain, data engineering, data analytics, and/or database administration.

• Experience in design, implementations, and optimization in Snowflake or other relational SQL databases

• Experience with data cleansing, curation, mining, manipulation, and analysis from disparate systems

• Experience with configuration control (GitHub preferred) and Data DevOps practices using GitHub Actions, Jenkins or other deployment pipelines that provide Continuous Integration and Continuous Delivery (CI/CD)

• Experience with Data Extract, Transform and Load (ETL) processes using SQL as the foundation

• Experience with database structures, modeling implementation such as third normal form

• US Citizenship

Preferred Skills

• Experience with Manufacturing, Operations, and/or Supply Chain process and systems

• Experience using MRP/ERP systems (SAP)

• Experience with Python and related libraries such as Pandas for advanced data analytics

• Experience with schema deployment solutions such as SchemaChange or Liquibase

• Working knowledge of Agile Software development methodologies

• Ability to filter, extract, and analyze information from large, complex datasets

• Great verbal and written communication skills to collaborate cross functionally

• Experience with data deployment solutions such as Snowflake Tasks, Matillion, SSIS, Azure Data Factory (ADF) or Alteryx

• Experience with Snowflake Streams, Stages and Snowpipes for data ingestion

• Experience with VS Code and GitHub Desktop for integrated development

• Experience with web application relational database models and APIs

• Knowledge of statistical modeling and machine learning methods