Job Description

We are looking for a skilled Senior Data Engineer to play a pivotal role in crafting and managing innovative data pipelines and solutions within our organization. Based North of Dallas, TX, this role focuses on leveraging cutting-edge technologies to design, optimize, and maintain data systems that support business objectives. You will collaborate with cross-functional teams to ensure data integrity, governance, and seamless integration across platforms.

Responsibilities:

• Develop and implement comprehensive data strategies and pipelines that align with business needs and objectives.
• Develop and maintain data integration solutions using Azure Services, ETL Tools and SQL , ensuring secure and efficient data flow.
• Optimize MS SQL and Azure database structures and data models to improve system performance and operational efficiency.
• Collaborate with stakeholders to gather and translate data requirements into actionable technical plans.
• Create logical and physical data models to support enterprise data warehousing initiatives.
• Establish and enforce standards for data governance, ensuring data quality, security, and consistency.
• Learn and integrate new technologies, like Snowflake, into existing frameworks to drive innovation and improve functionality.
• Stay updated on industry trends, evaluating and adopting modern tools and technologies to enhance data engineering, AI /ML and reporting structures.

What you bring to the table:

• Bachelor’s degree in computer science, Information Systems, or a related field; Master’s in Data Science, Data Analytics or related field preferred.
• Minimum of five years of experience in a data engineering, with a proven track record of success.
• Exposure to data pipeline design and architecture preferred but not required.
• Extensive knowledge of data engineering principles, methodologies, and practices.
• Proficiency in Azure services, including Data Factory, Data Lakes, and Databricks.
• Strong expertise in SQL databases, database optimization, and performance tuning.
• Experience with ETL tools such as SSIS for efficient data transformation processes.
• Ability to manage data governance frameworks and ensure compliance with organizational standards.
• The ability and desire to learn modern technologies like Snowflake

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