Insight Global
SR. Data Engineer
Insight Global, Irving, Texas, United States, 75084
Insight Global is seeking a Senior Data Engineer to join a Fortune 10 retail pharmacy client supporting its pricing and promotional portfolio. This resource will be in the office 3x/week in either Irving, TX supporting the build of an internal data store by developing reusable assets using SQL and Python in an Azure environment. This is an exciting opportunity to join a growing organization!
Compensation:$50/hr to $60/hr
Exact compensation may vary based on several factors, including skills, experience, and education.
Benefit packages for this role will start on the 31st 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.
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/ .- Experience working with Data Science partners, understanding- Azure Kubernetes- Airflow pipeline orchestration- 6+ years professional experience in data engineering
- Proficiency in advanced Python for data manipulation, automation, and scripting.
- Advanced SQL skills for complex query writing, optimization, and database management.
- Experience with Snowflake on Azure
Compensation:$50/hr to $60/hr
Exact compensation may vary based on several factors, including skills, experience, and education.
Benefit packages for this role will start on the 31st 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.
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/ .- Experience working with Data Science partners, understanding- Azure Kubernetes- Airflow pipeline orchestration- 6+ years professional experience in data engineering
- Proficiency in advanced Python for data manipulation, automation, and scripting.
- Advanced SQL skills for complex query writing, optimization, and database management.
- Experience with Snowflake on Azure