Data Integration Engineer
Apply NowCompany: Loopback LLC
Location: Dallas, TX 75217
Description:
This employer will not sponsor applicants for employment visa status (e.g., H1-B) for this position. All applicants must be currently authorized to work in the United States on a full-time basis.
About the Job
Loopback is seeking an innovative and team-oriented Data Integration Engineer to join our dynamic team. In this role, you will be responsible for building and maintaining data transformation mappings from source to destination formats. You will play a critical role in managing data flow processes, analyzing data, and collaborating with cross-functional teams to identify and implement system and process improvements. Additionally, you will design, document, implement, and support key clinical datasets.
Duties to Include
Manage evolving data ingestion formats across Health Systems, Life Science, and Enterprise Partner environments.
Own and maintain the codebase and documentation for data transformations from source systems into existing data pipelines.
Develop and sequence jobs and processes to load, transform, and manage data within the data lake and data warehouse.
Maintain and enhance the Loopback data model, ensuring codebase reliability to meet client/application SLA requirements.
Design and implement scalable, reliable data engineering pipelines to process large datasets across diverse sources and analytics use cases.
Drive internal process improvements by automating manual tasks and optimizing data delivery pipelines.
Identify and implement solutions to improve data reliability, efficiency, and quality.
Develop, promote, and enforce best practices in data integration and engineering.
Collaborate with business stakeholders to understand use cases, capture business rules, and align on solutions that address business challenges.
Conduct data profiling, create documentation, and develop automated tests to ensure data quality and accuracy.
Requirements
You will thrive if you:
Exhibit a "self-starter" mindset in taking ownership over delegated responsibilities
Have excellent program/task organizational skills
Are detail and results oriented
You bring a toolkit of your past experiences of:
3-5 Years of experience as a Data Integration Engineer or similar role
Implementing and designing data curation, and data analysis
Orchestrating data transformation through cloud native analytics platforms (Snowflake, Databricks) across cloud environments (Azure, AWS, GCP)
Building and modeling data in relational and non-relational data storage technologies including schema design, stored procedure development and performance and optimization techniques (e.g. SQL & NoSQL, C#, Python, etc.)
Effective collaboration, experienced in creating technical partnerships across teams
Learning and understanding the various technical domains across the enterprise and able to communicate complex technical and business concepts across the enterprise and various business stakeholders
Effectively delivering results in a fast-paced environment while managing multiple priorities
Documenting and testing your designed solutions, engaging with QA and DevOps teams
Contact
Founded in 2009, Loopback was rated as one of the best places to work in Dallas by the DBJ, Loopback Analytics is a leading provider of data-driven solutions for hospitals and health systems. The company's comprehensive analytics platform drives growth for specialty and
ambulatory pharmacy programs while connecting pharmacy activities with clinical and economic outcomes. Loopback's clients include leading Academic Medical Centers, health systems, and Life Sciences companies. For more information about our company and services please visit our website at www.loopbackanalytics.com.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.
About the Job
Loopback is seeking an innovative and team-oriented Data Integration Engineer to join our dynamic team. In this role, you will be responsible for building and maintaining data transformation mappings from source to destination formats. You will play a critical role in managing data flow processes, analyzing data, and collaborating with cross-functional teams to identify and implement system and process improvements. Additionally, you will design, document, implement, and support key clinical datasets.
Duties to Include
Manage evolving data ingestion formats across Health Systems, Life Science, and Enterprise Partner environments.
Own and maintain the codebase and documentation for data transformations from source systems into existing data pipelines.
Develop and sequence jobs and processes to load, transform, and manage data within the data lake and data warehouse.
Maintain and enhance the Loopback data model, ensuring codebase reliability to meet client/application SLA requirements.
Design and implement scalable, reliable data engineering pipelines to process large datasets across diverse sources and analytics use cases.
Drive internal process improvements by automating manual tasks and optimizing data delivery pipelines.
Identify and implement solutions to improve data reliability, efficiency, and quality.
Develop, promote, and enforce best practices in data integration and engineering.
Collaborate with business stakeholders to understand use cases, capture business rules, and align on solutions that address business challenges.
Conduct data profiling, create documentation, and develop automated tests to ensure data quality and accuracy.
Requirements
You will thrive if you:
Exhibit a "self-starter" mindset in taking ownership over delegated responsibilities
Have excellent program/task organizational skills
Are detail and results oriented
You bring a toolkit of your past experiences of:
3-5 Years of experience as a Data Integration Engineer or similar role
Implementing and designing data curation, and data analysis
Orchestrating data transformation through cloud native analytics platforms (Snowflake, Databricks) across cloud environments (Azure, AWS, GCP)
Building and modeling data in relational and non-relational data storage technologies including schema design, stored procedure development and performance and optimization techniques (e.g. SQL & NoSQL, C#, Python, etc.)
Effective collaboration, experienced in creating technical partnerships across teams
Learning and understanding the various technical domains across the enterprise and able to communicate complex technical and business concepts across the enterprise and various business stakeholders
Effectively delivering results in a fast-paced environment while managing multiple priorities
Documenting and testing your designed solutions, engaging with QA and DevOps teams
Contact
Founded in 2009, Loopback was rated as one of the best places to work in Dallas by the DBJ, Loopback Analytics is a leading provider of data-driven solutions for hospitals and health systems. The company's comprehensive analytics platform drives growth for specialty and
ambulatory pharmacy programs while connecting pharmacy activities with clinical and economic outcomes. Loopback's clients include leading Academic Medical Centers, health systems, and Life Sciences companies. For more information about our company and services please visit our website at www.loopbackanalytics.com.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.