Data Engineering Associate

Life Care Services•Des Moines, IA

23h•Onsite

About The Position

The Data Engineering Associate is responsible for providing entry level data engineering, automation, reporting, and cloud technology support. Under general supervision, collaborate with a team of experienced Data Engineers to help build, maintain, and optimize data workflows, security, visualizations, and automation solutions across the Azure-based analytics stack. This position reports to the Director, Data Analytics. Experience is Everything. At LCS, experience is everything. We provide you the opportunity to use your talents in a progressive, growing organization that makes a positive difference in the lives of the seniors we serve. If you are seeking an organization that gives back, you’ll love working here. Our principles and hospitality promises define our company culture. LCS employees can be found participating in volunteer activities, getting involved in our committees or collaborating with team members in our innovative workspace. You’ll find several opportunities to grow as a professional, serve the community, and enhance the lives of seniors.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field; or relevant technical experience and certifications.
Minimum of 0-2 years of experience.
Foundational understanding of data structures, databases, and basic data analysis concepts.
Exposure to tools like Power BI, SQL, Python, or automation platforms through coursework, internships, or self-learning.
Strong analytical thinking and a willingness to learn and adapt.
Effective communication skills and ability to collaborate in a team environment.

Nice To Haves

Familiarity with Microsoft Power Platform (Power Automate, Power Apps).
Basic experience with SQL (preferably Snowflake syntax) and/or Python.
Understanding of cloud platforms, preferably Microsoft Azure.
Exposure to version control tools like Git.

Responsibilities

Assist in developing and supporting Power Automate flows, including cloud and desktop flows, to improve business efficiency and reduce manual tasks.
Support Snowflake data warehousing initiatives, including Streamlit, data ingestion, transformation, and quality assurance.
Participate in Power BI report development by assisting with data modeling, visualization design, and dashboard publishing.
Collaborate with team members using Azure Synapse Integration Pipelines for ETL/ELT data movement and transformation processes.
Work with Databricks notebooks under guidance to explore data, generate insights, and support basic data science use cases.
Learn and apply data governance, privacy, and quality standards.
Assist in managing user access, permissions, and role assignments across the analytics platform (e.g., Power BI, Snowflake, Azure resources) in accordance with security and compliance guidelines.
Document processes, data flows, and automation logic for reusability and knowledge sharing.
Engage in code reviews, technical discussions, and collaborative problem-solving sessions.
Perform other duties and responsibilities as assigned.