Swbc

JuniorDataEngineer

San Antonio, Texas, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Entry candidates.

The Brief

“Junior Data Engineer at Swbc. Skills: Data pipelines, Cloud data warehouses, SQL, Python. Design data pipelines. Maintain data pipelines”

What You'll Achieve.

Support real business needs; Support data-driven projects; Improve data quality; Improve data performance; Improve data reliability; Ensure trusted and compliant data usage

Industry & Context.

Problems you'll solve

Excellent problem-solving skills

Eligibility Requirements

Substance-Free Workplace, Pre-employment drug testing, Does not hire tobacco users

What They're Looking For.

Must Have

Bachelor’s degree or higher in Computer Science, Engineering, Data Science, or related field, Minimal one to three years’ experience, Minimum one (1) year proven experience with knowledge of modern data warehousing best practices, Advanced proficiency in SQL, Hands-on experience building cloud-based data pipelines, understanding of data modeling, ELT/ETL patterns, and data quality frameworks, Excellent problem-solving, communication, and collaboration skills, Proficiency in Python, Java, or Scala, particularly for data transformation and pipeline development, Experience enabling machine learning data pipelines, including feature engineering and training data preparation, Experience with modern ingestion and transformation tools, including Openflow, DBT, AWS Glue, SSIS, Fivetran, and Lambda-based pipelines, Exposure to MLOps concepts, such as data versioning, lineage, and reproducible pipelines, Experience working in Agile/Scrum development environments

Nice to Have

Cloud certifications (AWS, Azure, or GCP) preferred

What You'll Do.

Design data pipelines

Maintain data pipelines

Build cloud-native data architectures

Implement ingestion pipelines

Develop AI-ready datasets

Enforce data quality controls

Enable GenAI data access

Apply data governance

Stay current with technologies

How You'll Work.

Team & Collaboration

Work closely with cross-functional teams; Collaborate with data scientists; Collaborate with ML engineers; Collaborate with business stakeholders

Communication Scope

Excellent communication skills

Process & Methodology

Agile/Scrum development environments

Full Job Description

SWBC is seeking a talented individual to join our dynamic Data team. The ideal candidate will have some experience in building and maintaining data pipelines, exposure to AI-ready datasets, machine learning, and 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. **_Why you 'll love this role:_** As a Junior Data Engineer, you’ll gain hands-on experience building and maintaining data solutions that support real business needs. In this role, you will learn how to build and maintain data pipelines with guidance from experienced team members, work closely with cross-functional teams to support data-driven projects, assist in improving data quality, performance, and reliability and gain exposure to modern data tools, technologies, and automation practices. 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. If you’re motivated, detail-oriented, and excited to launch your career in data engineering, we’d love you to join our team. _**Essential duties include the following:**_ * Designs, develops, and maintains scalable, secure, and cost‑efficient data pipelines to ingest, transform, and serve structured and unstructured data for analytics, ML, and AI workloads. * Builds and manages cloud‑native data architectures (data warehouse, lakehouse, and streaming) that support BI, advanced analytics, and machine learning. * Implementing modern ingestion and ELT pipelines using tools such as Openflow, Snowpipe‑style services, and third‑party ingestion frameworks. * Collaborates with data scientists, ML engineers, and business stakeholders to understand feature, training, and inference data requirements. * Develops and mainta

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