Insight Global
Job Description
Summary:
We are seeking a skilled Data Engineer to design, build, and maintain our data processing systems using Azure cloud technologies. The ideal candidate will leverage Databricks, Azure Data Factory (ADF), and other Azure services to transform raw data into valuable business insights while ensuring scalability, reliability, and performance of our data infrastructure.
Key Responsibilities
Design and implement end-to-end data pipelines using Azure Data Factory and Databricks
Develop, optimize, and maintain ETL/ELT processes to ingest data from various sources
Write efficient SQL queries and stored procedures for data extraction and transformation
Create and maintain Databricks notebooks using Python for data processing and analysis
Implement data quality checks and monitoring solutions
Collaborate with data scientists and analysts to understand data requirements
Participate in code reviews and maintain documentation
Implement CI/CD pipelines for data solutions using GitHub
Optimize data models for performance, scalability, and cost-efficiency
Ensure data security and compliance with organizational policies
Compensation:
$16/hr to $24/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 field
5+ years of experience in data engineering roles
Strong proficiency in SQL for complex data manipulation and querying
Python and PySpark programming expertise with focus on data processing libraries
Hands-on experience with Azure Databricks and Delta Lake
Experience building and orchestrating data pipelines with Azure Data Factory
Familiarity with Azure services such as Azure SQL, Azure Storage, Azure Synapse Analytics
Experience with version control using GitHub and CI/CD practices
Knowledge of data modeling techniques and best practices
Understanding of data warehousing concepts and dimensional modeling
Experience with data large-scale data processing Preferred Qualifications
Knowledge of Azure DevOps for pipeline automation
Familiarity with real-time data processing technologies
Experience with NoSQL databases
Azure certifications (Data Engineer, Solutions Architect)
Experience with data visualization tools (Power BI, Tableau)
Understanding of data governance and compliance requirements 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.
Summary:
We are seeking a skilled Data Engineer to design, build, and maintain our data processing systems using Azure cloud technologies. The ideal candidate will leverage Databricks, Azure Data Factory (ADF), and other Azure services to transform raw data into valuable business insights while ensuring scalability, reliability, and performance of our data infrastructure.
Key Responsibilities
Design and implement end-to-end data pipelines using Azure Data Factory and Databricks
Develop, optimize, and maintain ETL/ELT processes to ingest data from various sources
Write efficient SQL queries and stored procedures for data extraction and transformation
Create and maintain Databricks notebooks using Python for data processing and analysis
Implement data quality checks and monitoring solutions
Collaborate with data scientists and analysts to understand data requirements
Participate in code reviews and maintain documentation
Implement CI/CD pipelines for data solutions using GitHub
Optimize data models for performance, scalability, and cost-efficiency
Ensure data security and compliance with organizational policies
Compensation:
$16/hr to $24/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 field
5+ years of experience in data engineering roles
Strong proficiency in SQL for complex data manipulation and querying
Python and PySpark programming expertise with focus on data processing libraries
Hands-on experience with Azure Databricks and Delta Lake
Experience building and orchestrating data pipelines with Azure Data Factory
Familiarity with Azure services such as Azure SQL, Azure Storage, Azure Synapse Analytics
Experience with version control using GitHub and CI/CD practices
Knowledge of data modeling techniques and best practices
Understanding of data warehousing concepts and dimensional modeling
Experience with data large-scale data processing Preferred Qualifications
Knowledge of Azure DevOps for pipeline automation
Familiarity with real-time data processing technologies
Experience with NoSQL databases
Azure certifications (Data Engineer, Solutions Architect)
Experience with data visualization tools (Power BI, Tableau)
Understanding of data governance and compliance requirements 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.