Insight Global
Senior Data Engineer - Martech
Insight Global, New York, New York, us, 10261
Job Description
Insight Global is looking for a Senior Data Engineer to join a growing Data Engineering team for a top retail client. This individual will be helping transition the legacy Martech pipelines to the modern ELT architecture. This person will work with BASH, Perl, dbt, Fivetran, Snowflake, GitHub, and modern CI/CD & IAC tools to design, develop, test, deploy, and support data pipelines and models. They will collaborate with data analysts, data scientists, marketing business stakeholders, and software vendors to ensure data quality, reliability, and accessibility.
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/ .
Skills and Requirements
5+ years of experience in data engineering
Proficient in SQL, dbt Cloud, GitHub, and Snowflake
Background working in Unix command line, BASH scripting, and Perl
Experience with Fivetran, Census reverse ETL tool, and modern CI/CD & IAC tools.
Experience with Python or similar language (Java, Scala, Javascript, C++)
Basic understanding of the ELT model Experience with marketing data for physical products in retail space
Experience with BitQuery
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent work experience. 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.
Insight Global is looking for a Senior Data Engineer to join a growing Data Engineering team for a top retail client. This individual will be helping transition the legacy Martech pipelines to the modern ELT architecture. This person will work with BASH, Perl, dbt, Fivetran, Snowflake, GitHub, and modern CI/CD & IAC tools to design, develop, test, deploy, and support data pipelines and models. They will collaborate with data analysts, data scientists, marketing business stakeholders, and software vendors to ensure data quality, reliability, and accessibility.
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/ .
Skills and Requirements
5+ years of experience in data engineering
Proficient in SQL, dbt Cloud, GitHub, and Snowflake
Background working in Unix command line, BASH scripting, and Perl
Experience with Fivetran, Census reverse ETL tool, and modern CI/CD & IAC tools.
Experience with Python or similar language (Java, Scala, Javascript, C++)
Basic understanding of the ELT model Experience with marketing data for physical products in retail space
Experience with BitQuery
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent work experience. 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.