Insight Global is looking to add a remote Data Engineer to a large Beverage industry client's team. The Data Engineer will be joining the company's Supply Chain Analytics team to support a variety of business intelligence and analytics solutions across transportation, planning, warehousing, and several other teams in the supply chain organization. The ideal candidate will be able to design and implement processes that support a legacy environment while accelerating the migration to a scalable, cloud-based data infrastructure. Most of these processes will take place across the Azure ecosystem, particularly Azure Data Lake Storage, Azure Data Factory, Databricks, Snowflake, and Delta Lake. Data engineers are also leaders in process reclamation, documentation, and continuous improvement. Additionally, data engineers will learn about the Power Platform, such as Power BI and Power Apps, as these are integrated into the data architecture that will replace legacy analytics processes.

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

Bachelor's degree (computer science, IT/IS, engineering, statistics, supply chain, business, or related field)

3+ years of experience in data engineering or related field (software engineering, data analytics, business intelligence, data science)

Expert in SQL, with extensive experience writing DML and DDL statements

Strong Python skills, including big data packages (PySpark, Pandas, etc)

Experience with ETL/ELT processes, orchestration, and workflow management

Knowledge of relational database management systems and data warehousing concepts

Experience with Git, CI/CD processes, and knowledge of Azure DevOps, GitHub, or similar tools

Ability to quickly learn new concepts and software as necessary, with little oversight

Strong interpersonal, written, and verbal communication skills

Nice to Have Skills & Experience

Experience with Azure ecosystem - ADF, ADLS, Databricks, SQL Database

Experience with REST APIs and stream processing

Experience with Snowflake, Delta Lake, Oracle, and/or Microsoft SQL Server

Knowledge of a data visualization/BI tool - Power BI, Qlik Sense, Tableau, Looker, etc.

Knowledge of Power Apps, Power Automate, or similar tools (e.g. QuickBase)

Knowledge of SAS, R, or other programming languages

Proficiency with Microsoft Excel, VBA, LucidChart/Visio, or similar tools

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.