An Insight Global client is looking for a Data Engineer to join their team. This individual will be tasked with the development and maintenance of architecture for advanced supply chain analytics. This role involves designing, creating, managing, and utilizing large datasets across various data platforms. The engineer will craft, implement, and operate stable, scalable, and cost-effective solutions to transfer data from production systems into the business intelligence data store. Other responsibilities include:

* Work with multiple groups to create ETL solutions (Extract, Transform Solutions)

* Design low latency data architectures

* Improve data security and quality

* Ensure integrity of batch and real-time data pipelines

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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Required Skills & Experience

* Bachelors degree in computer science

* 6-8 years of data engineering experience

* Writing SQL and schema buildout, including star schemas, constellations, and snowflake schemas

* Experience with ETL tool, such as SSIS

* Big data technologies like: Spark, Kafka, Hadoop

* Strong CI/CD (Continuous Integration/Continuous Delivery)

* Strong Python experience, approximately 5-6 years

* Previous experience with Redshift

* Working with AWS Glue

Nice to Have Skills & Experience

Masters degree or PhD

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.