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Job Description

A client of Insight Global is looking for a Data Engineering Project Lead to join their team. This person will be overseeing a product-aligned pod of 34 data engineers that combines technical expertise with leadership, cross-functional collaboration, and product-aligned thinking. Duties will involve leveraging Databricks for scalable data processing and advanced analytics, leading a team of 34 data engineers that are focused on delivering data products aligned to a specific team, and conducting exploratory data analysis and create compelling visualizations to draw insights for decision-making. Both verbal and written communication is a must, as this person will be partnering with Product Managers to understand business goals, define data requirements, and prioritize work. This position requires to be onsite 5 days/week and will be at the hourly rate of $80-$90/hour.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, 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 Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

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/ .

Skills and Requirements

7+ Year of experience in Data Engineering or a similar role, with at least 12 years in a leadership or mentorship capacity

Proficiency in Python and PySpark for data engineering, analytics, and scientific computation

Hands-on experience with Databricks and Azure Data Services (Data Factory, Synapse, etc.)

Familiarity with data governance, cataloging, and schema management

Strong experience with Power BI or other BI tools for dashboard development and report modification

Excellent communication skills and a track record of successful collaboration with product managers or other non-technical stakeholders Experience in a product-led organization or working directly with product development teams

Familiarity with data science workflows, including statistical modeling, machine learning, or experimentation

Background in analytics, applied statistics, or scientific computing

Exposure to MLOps tools or hybrid data engineering/data science pipelines

Experience with infrastructure-as-code, CI/CD for data workflows, or containerization (e.g., Docker) null

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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].