Data Engineer

Your Job

As a Data Engineer at INVISTA, you will be a vital contributor to our Enterprise Data Platform, responsible for designing and implementing data pipelines, optimizing data workflows, and ensuring data reliability and accessibility.

Your work will be instrumental in empowering our organization to make data-driven decisions and fueling innovation across the company.

Our Team

Joining our Data and Analytics team means becoming a key player in a dynamic and innovative group of professionals dedicated to unlocking the power of data.

Here, you'll find a diverse and collaborative environment where your ideas and expertise will shape the future of our data-driven organization.

We pride ourselves on fostering a culture of continuous learning, creativity, and teamwork, and we're looking for individuals who are eager to contribute their skills and passion to our shared mission.

This role may work a hybrid schedule out of our Wichita (KS) or Katy (TX) office location.

What You Will Do


* Collaborate closely with business partners and data scientists to align data engineering efforts with their specific needs and objectives, ensuring that data solutions contribute effectively to the organization's overall goals.

This includes proposing alternative solutions, with their pros and cons, to help guide the workstream forward.


* Understand, develop, maintain/troubleshoot, automate, and optimize orchestration and data pipelines using tools such as Snowflake, dbt, GitHub, AWS, Power BI, and Neo4J.


* Implement data integration strategies for streaming, event driven, and batch data sources.


* Design and implement data modeling and ETL/ELT processes to ensure data quality, consistency, availability and data centricity.


* Manage and maintain data warehouses and ensure data security and compliance with company policies and relevant regulations.


* Perform data transformations, aggregations, and data cleansing to support analytics and reporting needs.


* Document data engineering processes, pipelines, and architecture for knowledge sharing and compliance.


* Stay up to date with industry best practices, emerging technologies, and trends in data engineering.

Who You Are (Basic Qualifications)


* Experience in data modeling with SQL


* Experience collaborating with a Finance team or in the Financial Services industry


* Experience programming in Python


* Ability to travel up to 20% of the time


* This role is not eligible for visa sponsorship

What Will Put You Ahead


* Experience with Snowflake data warehouse technology


* Proficiency in designing software and data solutions that scale


* Proficiency in Power BI, strong in DAX and analytics report building


* Hands-on experience with AWS cloud computing platform


* SAP Financial domain knowledge - Financial accounting and controlling modules


* Experience with DevOps practices and tools, such as continuous integration (CI) and c...