Data Engineering Analyst
$44K-$73K (Glassdoor est.)
As a Data Engineering Analyst with the Life and Health team at COUNTRY Financial, you will assist with building and maintaining optimized data foundations that facilitate deeper analysis and reporting. On this highly collaborative team, you will work on a variety of efforts for constructing data pipelines and often must use complex tools and techniques to handle data at scale. This role is responsible for the maintenance, improvement, cleaning and manipulation of data in the business’s operational and analytics databases.

Establishes database management systems, standards, guidelines and quality assurance for database deliverables, such as conceptual design, logical database, capacity planning, external data interface specification, data loading plan, data maintenance plan and security policy. Researches and prototypes data pipelines, hardens POC/MVP tools and pipelines for Production and partners with predictive modelers and data scientists to deploy machine learning models into a production environment. Works closely with the Enterprise Data Warehouse team to collaborate on process patterns and best practices in the areas of adhoc analysis, research, proof of concepts and deploying working tools to production.

Responsibilities:
Works with the enterprise “Community of Excellence” to develop standards and best practices for engineering for data and machine learning.
Develops Data Pipelines for dashboard development, machine learning models and exploratory data analysis.
Iteratively delivers functionality using DevOps tools and concepts, including but not limited to, Linux/Unix command line, Docker Containers, SQL (i.e. Hive), Git through the command line, Spark/PySpark and Python.
Preferred Qualifications:
Advanced SQL.
Experience with relational database systems (i.e. DB2, SQL Server).
Experience with Hadoop tools.
Experience with Python.
Understanding of data design concepts (i.e. data modeling, data mapping).
Required Qualifications:
Typically requires:
Bachelor's degree and at least 2 years of machine learning, data engineer or related experience OR,
Master's degree and no experience OR,
At least 4 years of machine learning, data engineer or related experience.
Physical Requirements:
Normal office environment.
Work may extend beyond normal business hours as business needs dictate.
COUNTRY Financial
3.8
COUNTRY Financial
