Data Engineer

WellSky•Overland Park, KS

6d•Onsite

About The Position

The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines, infrastructure, and data visualization to support our data-driven decision-making processes. The scope of this job includes collaborating with data scientists, analysts, solutions partners, and other stakeholders to increase data quality, accessibility, and security. This is an entry-level role on-site at WellSky WHQ in Overland Park, KS. In-office attendance is mandatory. We want to bring in someone who is eager to learn – someone who is curious and coachable. There is a clear path to growing into a well-rounded data practitioner.

Requirements

Bachelor's degree in a related field or equivalent work experience
0 - 2 years related work experience
Working proficiency in SQL
Must work in accordance with applicable security policies and procedures to safeguard company and client information
Must be able to sit and view a computer screen for extended periods of time

Nice To Haves

Healthcare industry experience
Exposure to Python
Exposure to cloud data platforms (Google Cloud / BigQuery)
Exposure to data transformation tools (dbt / Dataform)
Exposure to BI tools (Looker / Tableau / Power BI)
Exposure to Orchestration tools (Airflow / Prefect / Dagster)
Exposure to infrastructure as code (Terraform)

Responsibilities

Identify, maintain, and leverage data pipelines, data models, reporting, and dashboards to solve business problems or assigned tasks in coordination with multiple teams.
Build understanding of technical best practices for data integration, data warehousing, and data visualization on cloud-based platforms.
Analyze and document workflows for complex data-related challenges by identifying patterns, trends, and anomalies in the data, and find ways to optimize data processing and storage to ensure data quality.
Contribute to the development and best practices of coding standards.
Adhere to WellSky core values, ensure PHI data security, and adapt to changing BI technologies.
Leverage AI tools and platforms as an integral part of daily responsibilities to enhance decision-making, streamline workflows, and drive data-informed outcomes.
Grow into support rotations and handling deployments
Perform other job duties as assigned.