Data Engineer (Data Warehouse)

Overland Park, Kansas

Full Time Senior-level / Expert USD 76K - 150K *
Rx Savings Solutions logo

Rx Savings Solutions

View all employer listings

Apply now Apply later

Here at Rx Savings Solutions, we are driven to make a difference in the pharmaceutical industry by exposing cost-savings analytics to our members. We take pride knowing that the work we do can greatly impact the lives of our customers. We currently have an opportunity for an experienced Data Engineer to join our growing Enterprise Data Warehouse Team! This team works closely with our Business, Data Ingestion and Insights teams in order provide meaningful data products for the business and enables consistently informed management decisions. This is an exciting opportunity for a data engineer to leverage and learn skills with the latest cloud data warehouse tools such as Snowflake, and utilize software such as Python to execute data flows to ultimately enable reporting for our clients.  Check out what our CTO shares about the personal growth opportunities and impactful work as an Engineer on our team:

Job Duties:

  • Assist in planning, designing, and documenting technical requirements for data flows between disparate operational systems to our data warehouse
  • Assist in end-to-end development of the ETL process as well as build data models and define, analyze, build, unit test and maintain new and existing software applications to support business requirements
  • Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using primarily ETL tools
  • Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
  • Investigate and resolve data related issues and provide support and troubleshooting expertise


  • Bachelor's degree or greater in Computer Science, or related technical degree and/or experience
  • 2 - 3 years of experience in ETL Tools (Talend is a plus, but not required), including loading data into a database and generating outbound files using an ETL tool
  • Knowledge of Python, especially around data frames and pandas
  • Solid experience with SQL queries, including various SQL commands
  • Experience writing Stored Procedures, Materialized Views and Views
  • Good knowledge about Bitbucket, Jenkins and CI/CD pipelines
  • Experience and understanding of design and operationalization of large-scale data and analytics solutions within a data warehouse
  • Experience with cloud technologies such as AWS, and a passion for a role working in a cloud data warehouse
  • Knowledge on cloud data warehouse solutions (examples - Snowflake, Redshift, Big Query, etc.)
  • Expertise and understanding of integration of cloud data warehouse solutions with other data processing and reporting technologies
  • Possess understanding of BI concepts and be familiar with relational or multi-dimensional modeling concepts
  • Understanding of RDBMS best practices and performance tuning techniques
  • Knowledge of Structured and Unstructured data

It would be nice if you had...

  • Experience with Agile and Scrum methodologies
  • Knowledge of Java or JavaScript
  • Hands on experience on AWS Services – S3, CloudWatch, EC2, App Flow, Jenkins, and Salesforce
* Salary range is an estimate based on our salary survey at
Job perks/benefits: Career development
Job regions: Remote/Anywhere North America
Job country: United States
Job stats:  3  0  0
  • Share this job via
  • or

Other jobs like this

Explore more AI/ML/Data Science career opportunities

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.