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# Data Engineer

- **Company:** ABI USA SALES CORP.
- **Location:** Columbus, OH, United States
- **Salary:** $2,080.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Cloud Engineering, Databases, Data Cleansing, Extract Transform Load (ETL), Data Systems, Data Visualization, R (Programming Language), IBM Cognos Business Intelligence, SPSS (Software), Python (Programming Language), Machine Learning, Power BI, SAS (Software), SQL Databases, Tableau (Software), Snowflake, Data Strategy, Information Technology, Streamlit Framework, Alteryx
- **Published:** October 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4a4eaa7e46f6846e

## About the Role

Skill Required/Desired Amount of Experience Bachelor's degree or equivalent work experience in Information Technology, Computer Science or a related field Required Highly skilled in data analysis software, statistical analysis software (e.g., SAS, SPSS, IOP suite). Required Highly skilled in business intelligence (BI) & expert with data visualization tool (e.g. Tableau, Power BI, Cognos) Required Highly skilled in coding & reporting (e.g., Python, R, SQL) Required Highly skilled in data preparation & transformation, machine learning, predictive & prescriptive analytics tools (e.g., Alteryx) Required Highly skilled in SQL & extract, transform & load (ETL). Required Experience with Snowflake Required Experience with Streamlit Required

## Description

* Team expansion into AWS, Snowflake, and advanced Python

development requires additional specialized technical expertise.

 * Projects involving cloud architecture, analytical engineering,

data modeling, and AI/ML demand skills to be executed successfully.

 * A specialist is critical to maintaining project timelines and

ensuring delivery of scalable, modern data solutions.

 * Role will support the design and creation of logical and

physical data models aligned with complex business and technical needs.

 * Position will produce analytical models that enhance reporting,

decision-making, and overall data-driven insights across the organization.

 * Collaboration across business units, application teams, DBAs,

and leadership requires an experienced technical resource to develop
high-quality analytical solutions.

 * The specialist will help business units improve their ability to

serve taxpayers through improved data solutions and insights.

 * Staying current with emerging analytics and database

technologies is essential; this role will lead to evaluation and testing of new
tools for possible adoption.

 * Position strengthens the department's capability to support

continued modernization efforts and long-term data strategy.