Data Engineer - Python

As a Staff Data Engineer you will be part of the data engineering community which includes data platforms, data warehousing, data science, software engineering, and visual insights. We use our data infrastructure to power analytics and data products and to deliver relevant experiences in real-time. We enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world of healthcare

· Work with data engineers, data architects, data scientists, and other internal stakeholders to understand product requirements and then design, build, and monitor data platforms and pipelines that meet today's requirements but can gracefully scale.
· Design, build, and maintain Python-based data pipelines and workflow orchestration solutions using tools such as Apache Airflow.
· Develop and integrate RESTful APIs and third-party data sources into enterprise data workflows.
· Deploy and support cloud-native data pipelines in Google Cloud Platform (GCP), including BigQuery, Cloud Composer (Airflow), and Cloud Storage.
· Support both batch and near real-time data processing use cases for analytics and reporting.
· Implement automated workflows that lower manual/operational costs, define and uphold SLAs for timely delivery of data, and move the company closer to democratizing data.
· Enable a self-service data architecture supporting query exploration, dashboards, data catalog, and rich data discovery.
· Promote a collaborative team environment that prioritizes effective communication, team member growth, and success of the team over success of the individual.
· Design and create real-time data pipelines that accelerate the time from idea to insight.
· Adheres to and supports data engineering best practices, processes, and standards.
· Produce high quality, modular, reusable code that incorporates best practices and serves as an example for less experienced engineers.
· Helps promote and support data security best practices that align with industry standards and regulatory and legal requirements.
· Help mentor team members on complex data projects and following the Agile process.
· Help lead data analysis efforts and solution proposals to data related and data architecture problems.
· Help lead implementation of unit and integration tests and promote and conduct performance testing where appropriate.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

· 7+ years in a data engineering, data architecture, or related roles
· Experience should include modern data pipeline development using Python and cloud-based orchestration platforms.
Expert Python experience
· Bachelor's degree in Computer Science or related technical field
- integrating REST APIs or third-party data sources into data pipelines
Power bi
GCP - Airflow,, BigQuery

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.