Software Engineer - Databricks
Insight Global
Job Description
We are seeking a skilled Software Engineer to design, build, and maintain our
enterprise Databricks Workspace governance platform using Azure and Databricks
technologies. The ideal candidate will leverage terraform, GitHub action, and other
Azure services to automate the provisioning and management of Databricks
workspaces. The software engineer will also be responsible for automating auditing
and compliance features across the enterprise.
Key Responsibilities
Design and implement end-to-end workspace deployment pipelines
Assist teams with setting up or being added to new Databricks workspaces
Enable users with access to new Databricks functionality
Manage and govern existing workspace
Develop processes and automating for auditing
Track compute resources and cost across the enterprise
Ensure data security and compliance with organizational policies
Design scalable processes for managing requests from Databricks users
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 inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, 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 Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .
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/ .
Skills and Requirements
Bachelors, Master's or Ph.D. degree in Computer Science, Mathematics,
Statistics, or related feld
3-5+ years of experience in data engineering roles
3-5+ years of cloud development experience (Azure, AWS, or GCP) in an
enterprise environment
Experience with data large-scale data processing
2+ years Terraform Experience
1+ years of Databricks experience
1+ years Github Action Experience
Demonstrated experience of working autonomously, resolving road blockers
as need. Understanding of data governance and compliance requirements
Experience partnering with cloud security teams
Ambition and a desire to solve complex problems null
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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.
Por favor confirme su dirección de correo electrónico: Send Email