Data Engineer

Job Description

Insight Global is seeking a highly skilled and motivated Data Engineer with expertise in Azure, dbt, Azure Data Factory (ADF), Snowflake, data pipelines, and data integration frameworks. The ideal candidate will play a key role in our data engineering team, working on designing, developing, and maintaining data pipelines to support our data-driven decision-making processes. This is a fully remote, 21-week contract position offering a pay range of $50-$55/hr based on skills and experience, with benefits provided through Insight Global while on contract.

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 .

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .

Skills and Requirements

-Bachelor's degree in Computer Science, Information Systems, or a related field

-3-6 years of relevant work experience

-Proven experience as a Data Engineer with a focus on Azure Data Factory, dbt, ADF, Snowflake, and data integration.

-Proficiency in SQL, Python, or other relevant programming languages.

-Previous experience in the telecommunications industry -Microsoft Azure certifications (e.g., Azure Data Engineer, Azure Developer).

-Experience with big data technologies (e.g., Hadoop, Spark) 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 .