Data Engineer

This is a contract-to-hire opportunity.

Preference is that candidates are local to Columbus or at least in the MidWest region.

Fully remote.

Our direct client is looking for a Data Engineer to help support the IT organization’s data strategy in support of their business customers, as well as internal initiatives. If you are a “Data Person”, who knows how to build data pipelines, aggregate data from multiple sources into a common data store and have experience with industry-leading cloud data platforms and scripting, we’d love to talk with you.

The Data Engineer will work closely with Client’s IT Data Architect, Integration Engineers, Business Operations customers, and Services Partners to help advance their data and analytics ambitions.

This role will serve as a hands-on contributor and be a thought leader in the areas of data engineering, cloud data strategy, Business Intelligence, Data Modeling and ETL/ELT.

Responsibilities:

with the IT Data Engineering Team and assist in developing the next generation data and analytics infrastructure.

have strong SQL modeling skills (dbt is a plus)

high quality SQL code to retrieve and analyze data from database tables (primarily Databricks)

high quality SQL models for ad-hoc requests, as well as ongoing reporting / dashboarding.

directly with business stakeholders to translate between data and business needs.

improve SQL models through automating or simplifying self-service support for datasets

Requirements:

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or other similarly technical related field Mathematics, or specialized training/certification. Or equivalent work experience.

1- 3-year minimum professional experience in cloud data engineering and science and associated technologies utilizing cloud data platforms such as Databricks, AWS RedShift, and Snowflake.

1 - 3-year minimum experience with advanced SQL data modeling and query optimization

Proficiency in using visualization tools such as Tableau, Domo, or Power BI.

Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

Strong verbal, written & presentation skills with the ability to effectively communicate complex technical information to personnel at all levels of the organization.

Nice to have:

Specific experience with Data Warehouse/Data Lake configuration and development using Databricks platform.

Experience with Tableau / Sigma Computing

operating in an Agile development environment.

with usage of Agile tools (JIRA / Confluence)

of CI/CD deployment models and release strategy as well as SCM tools (Git preferred) and code management best practices.

in AWS environment.

with cloud ELT platforms such as AWS Glue, Talend Stitch, or FiveTran