Swbc

Swbc

Junior Data Engineer

San Antonio, TX · Junior

Sponsorship not specifiedDetected 30 days ago
PythonJavaScalaSQLPostgreSQLMySQLSnowflakeRedshiftVector DatabasesAWSGCPAzureCloud PlatformsMachine LearningAirflowdbtData EngineeringData ScienceMLOpsAgileLeadershipCommunicationCollaborationMentoring

About the role

  • SWBC is seeking a talented individual to join our dynamic Data team.
  • We provide a supportive, team-oriented environment where you'll receive mentorship and opportunities to grow your technical and professional skills.
  • Our team values collaboration, curiosity, and continuous learning, and we celebrate both progress and success along the way.

Requirements

  • Bachelor's degree or higher in Computer Science, Engineering, Data Science, or related field.
  • Minimum one (1) year proven experience with knowledge of modern data warehousing best practices.
  • Advanced proficiency in SQL and experience with databases such as PostgreSQL, MySQL, Snowflake, Redshift, or similar platforms.
  • Experience with orchestration tools such as Airflow, AWS Step Functions, or similar.
  • Strong understanding of data modeling, ELT/ETL patterns, and data quality frameworks.
  • Proficiency in Python, Java, or Scala, particularly for data transformation and pipeline development.
  • Familiarity with feature stores, vector databases, or AI‑related data architectures.
  • Experience with modern ingestion and transformation tools, including Openflow, DBT, AWS Glue, SSIS, Fivetran, and Lambda‑based pipelines.
  • Experience working in Agile/Scrum development environments.

Nice to have

  • Cloud certifications (AWS, Azure, or GCP) preferred.

Skills

  • Implementing modern ingestion and ELT pipelines using tools such as Openflow, Snowpipe‑style services, and third‑party ingestion frameworks.
  • Optimizing pipelines for performance, reliability, scalability, and cost across batch and near‑real‑time workloads.
  • Applies data governance, security, and privacy best practices to ensure trusted and compliant data usage for analytics and AI.
  • Stays current with emerging technologies and best practices in data engineering, cloud platforms, and AI‑related data infrastructure.

Compensation

  • Competitive overall compensation package
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This listing is sourced directly from Swbc's careers page and normalized into a canonical job model.