Insight Global
Insight Global is seeking a Data Engineer for one of their top property management customers. The bulk of the data engineer's work would be
building, managing, and optimizing data pipelines and then moving these data pipelines effectively into
production for key data and analytics consumers.
Data engineers also need to guarantee compliance with data governance and data security
requirements while creating, improving and operationalizing these integrated and reusable data
pipelines. This would enable faster data access, integrated data reuse and vastly improved time-to solution.
This role will require both creative and collaborative work with IT and the wider business. It will involve
evangelizing effective data management practices and promoting a better understanding of data and
analytics. The data engineer will also be tasked with working with key business stakeholders, IT experts
and commercial real estate experts to plan and deliver optimal analytics and data science solutions. Pay ranges from 22 - 25/hr based on qualifications and years of experience.
Responsibilities: • Serve as a key contributor to identify, evaluate, and execute the development and implementation of data infrastructure. • Perform analysis on large datasets to make and implement recommendations for maximizing customer experience • Assists in the design and implementation of relational databases and structures as needed • Works collaboratively with Application development teams throughout the product development process, to ensure optimal usage of SQL Server for storage and transaction processing • Build data pipelines with Azure Data Factory (ADF) to feed Microsoft SQL Server Business Intelligence stack including relational databases, data cubes (tabular/multidimensional), SQL Reporting, Power BI, and other tools as needed. • Writes, refines, and optimizes T-SQL code for maximum performance, reliability, and maintainability • Participates in developing cutting-edge storage design structures and data processing flows • Creates documentation for both new and existing code • Work collaboratively with varied stakeholders and business experts across departments • Refine business data requirements for various data and analytics initiatives. • Participate in ensuring compliance and governance during data use: It will be the responsibility of the data engineer to ensure that the data u and consumers use the data provisioned to them responsibly through data governance and compliance initiatives. • Participate in logic and technical design, peer code reviews, unit testing, and documentation of code developed. • Participate in agile development ceremonies, and interacting with both business analysts and end-u to come up with well-performing and scalable solutions.
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/.
Required Skills & Experience - 5+ years of experience as a hands on Data Engineer - Hands on SQL Coding experience - Azure Data Factory experience - Snowflake Experience
Nice to Have Skills & Experience - Power BI experience
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.
Responsibilities: • Serve as a key contributor to identify, evaluate, and execute the development and implementation of data infrastructure. • Perform analysis on large datasets to make and implement recommendations for maximizing customer experience • Assists in the design and implementation of relational databases and structures as needed • Works collaboratively with Application development teams throughout the product development process, to ensure optimal usage of SQL Server for storage and transaction processing • Build data pipelines with Azure Data Factory (ADF) to feed Microsoft SQL Server Business Intelligence stack including relational databases, data cubes (tabular/multidimensional), SQL Reporting, Power BI, and other tools as needed. • Writes, refines, and optimizes T-SQL code for maximum performance, reliability, and maintainability • Participates in developing cutting-edge storage design structures and data processing flows • Creates documentation for both new and existing code • Work collaboratively with varied stakeholders and business experts across departments • Refine business data requirements for various data and analytics initiatives. • Participate in ensuring compliance and governance during data use: It will be the responsibility of the data engineer to ensure that the data u and consumers use the data provisioned to them responsibly through data governance and compliance initiatives. • Participate in logic and technical design, peer code reviews, unit testing, and documentation of code developed. • Participate in agile development ceremonies, and interacting with both business analysts and end-u to come up with well-performing and scalable solutions.
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/.
Required Skills & Experience - 5+ years of experience as a hands on Data Engineer - Hands on SQL Coding experience - Azure Data Factory experience - Snowflake Experience
Nice to Have Skills & Experience - Power BI experience
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.