Data Engineer

SWBC•San Antonio, TX

6d•Onsite

About The Position

SWBC is seeking a skilled Data Engineer to join our dynamic Data team. The ideal candidate will have experience in building and maintaining data pipelines, with a focus on cloud-based data warehouses such as Snowflake or Redshift. This role offers an exciting opportunity to work with cutting-edge technologies and drive impactful data-driven solutions. Joining our team means becoming part of a community dedicated to maintaining scalable and stable products that meet user needs. Collaborating within an agile and innovative environment, you'll work closely with peers at all levels, leveraging various tools and skills to ensure our applications thrive. Our diverse team fosters a culture of collaboration, leveraging technology and automation, and celebrating collective success. With a focus on growth, autonomy, work-life balance, and professional development, you'll drive systemic change for business processes, recommending improvements that benefit all our clients. Together, we celebrate successes and learn from failures, making every day impactful and rewarding. We can't wait to welcome you as a valued member of our team.

Requirements

Bachelor’s degree or higher in Computer Science, Engineering, or related field.
Proven experience as a Data Engineer or similar role, with a strong understanding of data warehousing concepts and best practices.
Proficiency in SQL and experience with database technologies such as PostgreSQL, MySQL, or similar.
Hands-on experience with cloud-based data warehouses such as Snowflake or Redshift.
Experience with data pipeline orchestration tools such as AWS Step functions, Airflow, or similar.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

Nice To Haves

Familiarity with programming languages such as Python, Java, or Scala is a plus.
Experience with SSIS, AWS Glue, DBT (Data Build Tool) and Fivetran / AWS Lambdas preferred.
Certification in cloud platforms such as AWS or Microsoft Azure preferred.
Experience working in Agile/Scrum development environments preferred.

Responsibilities

Designs, develops, and maintains scalable and efficient data pipelines to ingest, transform, and load data from various sources into cloud-based data warehouses.
Collaborates with cross-functional teams to understand data requirements and develop solutions to address business needs.
Optimizes and tunes data pipelines for performance, reliability, and scalability.
Implements data quality checks and monitoring to ensure data integrity and reliability.
Builds data models and develop an Enterprise Data Model at a large scale.
Works closely with data analysts and data scientists to provide them with access to clean and reliable data for analysis and modeling.
Stays up to date with emerging technologies and best practices in data engineering and cloud computing.