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

Requirements