Data Integration Engineer

Loopback Analytics; Dallas (TX); On-site; USD 100,000 - 181,000; Full time

Job summary

Loopback Analytics is seeking a Data Integration Engineer to build and maintain data transformation mappings and ensure high-quality data flow processes. This role is crucial for managing data within their clinical datasets, developing data pipelines, and collaborating with various teams to optimize data delivery across health systems. Applicants should have a strong background in data integration, cloud technologies, and excellent organizational skills.

Benefits

Health Insurance

Competitive Salary

Flexible Work Hours

Qualifications

• 3-5 years of experience as a Data Integration Engineer or similar role.
• Experience with Snowflake, Databricks, Azure, AWS, or GCP.
• Skills in data modeling and efficiency optimization.

Responsibilities

• Manage evolving data ingestion formats across Health Systems.
• Develop and maintain data transformations and pipelines.
• Automate manual tasks for operational efficiency.

Skills

Data integration

Cloud platforms

Data transformation

SQL

Python

Education

Bachelor's degree in Computer Science or similar

Job description

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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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Hospitals and Health Care

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