Data Engineer (Fulltime)

BuzzClan - Dallas, TX

Full-time - Mid Level

Dallas, TX

Professional, Scientific, and Technical Services

About the position

We are seeking a highly skilled Data Engineer with expertise in the Microsoft environment to join our team. The ideal candidate will have strong hands-on experience in version control and related tools, along with a deep understanding of the Software Development Life Cycle (SDLC). This role requires a data engineering expert who is both technically proficient and capable of independently managing their workload while meeting client expectations on time.

Responsibilities

• Utilize version control tools to support the SDLC and ensure the integrity of project development.
• Work independently to identify and resolve gaps in data engineering processes.
• Manage self-accountability, time, and tasks efficiently with minimal supervision.
• Develop and optimize complex SQL queries and database procedures.
• Strong experience with Snowflake, SQL Server Reporting Services (SSRS), and Power BI for building robust data solutions.
• Occasionally use BI RO for business intelligence reporting.
• Design, develop, and maintain efficient stored procedures and database architecture.
• Participate in team huddles and provide timely and confident reporting on complex data issues.
• Ensure timely and accurate client reporting, with a strong focus on quality and detail.
• Collaborate effectively within a team environment and communicate complex issues clearly.

Requirements

• Hands-on experience in managing and querying large datasets with Snowflake.
• Expertise in writing complex SQL queries, optimizing database performance, and working with stored procedures.
• Proficiency in building and maintaining data visualizations and reports using SSRS and Power BI.
• Knowledge of scripting and processing large data sets using Python & PySpark is a plus.
• Hands-on experience with version control tools and processes in a structured development environment.

Nice-to-haves

• Prior experience in client reporting and handling large datasets.
• Strong architectural understanding of data systems and databases.
• Familiarity with team huddles and collaborative working environments.