Job Description
Insight Global seeks a highly skilled and motivated Data Engineer to join our customer. As a Data
Engineer, the role will play a crucial role in building and maintaining our data infrastructure, ensuring
the efficient extraction, loading and transformation (ELT) of data from various sources into our cloud data environments. The ideal candidate should have hands-on experience with ELT processes in Databricks. Salary ranging from $40-50 per hour.
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
Bachelor's Degree in Computer Science, MIS, Computer Engineering, Business Administration or
related discipline needed with at least five years of professional work experience. Relevant
experience may be considered in lieu of a degree
Certification as Databricks Data Engineer Associate or Professional.
Proven work experience as a Data Engineer or in a similar role, with a focus on developing and
implementing data pipelines and ETL/ELT processes.
Strong proficiency in working with Databricks and Unity Catalog, as well as experience with
metadata-driven ELT processes and data lakehouse architecture.
Demonstrated experience with programming languages to include SparkSQL and PySpark for
data ingestion, transformation, wrangling, modeling and automation.
Benefit packages for this role will start on the 1st 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.