This client is currently looking for a Senior Data Engineer to join their fast-growing data team. This individual will play a pivotal role in both setting up and maintaining the data infrastructure, with a primary focus on improving and hardening our data lakehouse in AWS and leading technical projects through Agile methodologies. They will be responsible for developing, constructing, testing, and maintaining architectures such as large-scale processing systems and databases. Additionally, they will work closely with Data Analysts and cross-functional teams to provide solutions that meet their requirements. Expertise in AWS tools, coupled with knowledge of Microsoft Power Platform and Azure, will drive our data solutions to new heights. The salary range for this position will be 110-125K annually.
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.
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* 5+ years of experience in data engineering with technical
project management in agile methodologies
* Experience utilizing GenAI
* Experience working with DBTCore, Trino, TablePlus,
LunaModeler, Git, or similar technologies
* Proficiency in AWS services with Azure counterparts (S3,
EC2, RDS, RedShift, etc)
* Experience with Microsoft power Platform
*Strong knowledge of SQL and big Data technologies
* Extensive experience with programming languages -
Python and Pyspark preferred
* Proven experience with machine Learning
* Industrial Engineering degree and/or background
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.