Data Engineer (hybrid remote and onsite one day in Orlando)

We are in search of a Lead Data Engineer to join our growing team of data management and analytics experts. As the Lead Data Engineer, you will be responsible for expanding and optimizing our data architecture and analytics delivery. Our teams primary responsibility is to make high quality data pipelines available, accessible, and secure to stakeholders. Responsibilities include managing, optimizing, and monitoring data retrieval, infrastructure, storage, and distribution throughout DPEP Tech & Digital, to enable data-driven decision-making. This is a highly collaborative role where partnership and collaboration with many technical and non-technical teams is critical.

Primary Job Duties: ETL Development, Dashboard / Report Development, Quality Assurance

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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Top Skills: SQL, Tableau, PowerBI, Snowflake
Bachelors degree required. Degree in Computer Science, Information Technology, or related field preferred.
Proven experience in data engineering with a strong understanding of ETL processes, data warehousing, and data integration.
Strong SQL skills and experience. Ability to perform efficient querying including use of subqueries, Indexes, views, stored procedures, and functions.
In-depth understanding of modern database and data technologies, including but not limited to data architecture, data modeling and database management.
Knowledge of cloud platforms like AWS, Azure, or Google Cloud.
Extensive experience with data management and data visualization tools: Tableau, PowerBI, MicroStrategy, Snowflake etc.
Practical experience using agile methodologies.

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.