The Data Engineer will work as part of the Data Analytics team, reporting to the Sr. Director of Marketing and Advanced Analytics. This role will work with IT and Advanced Analytics to bridge the gap between raw data infrastructure and business intelligence, build reliable pipelines, curated data models, and scalable reporting solutions.

Bachelor’s degree in a relevant field (e.g., Statistics, Mathematics, Computer Science, Business) or equivalent practical experience
Proven experience as a Data Engineer with a minimum of 2–3 years in a similar role
Proficiency in data engineering tools such as SQL, Python, R, or other relevant languages
Experience with a data visualization tool (Power BI)
Strong analytical and problem-solving skills with a keen attention to detail
Excellent communication skills to convey complex data findings to non-technical stakeholders
Self-motivated with the ability to work both independently and collaboratively in a fast-paced environment

Python, MySQL, PySpark, NoSQL, SQL Server
Windows, Linux (Shell, API, Batch scripting)
GIT, Documentation
Azure, Data Warehousing, Snowflake

PostgreSQL, Full Stack Web Dev, UNIX
API Development, Automation Development
MS Office tools development
PBI/Tableau/Google Analytics
DevOps Automation, Fivetran

Build and maintain data pipelines between source data and analytical databases
Implement and evangelize engineering best practices for sustainable and scalable delivery
Work with solution architect, Data Modelers, BI Analysts and Product Managers to take an active role in solution design
Help identify MVP and iterative design approach in an agile framework
Identify necessary business rules for extracting data along with functional and technical risks related to data sources
Develop initial queries for profiling data, validating analysis, testing assumptions, driving data quality assessment specifications, and define path to deployment