Top 12 Java etl engineer Jobs in San Antonio, Tx

Junior Data Engineer
SWBC —San Antonio, TX
- Full-time
- Azure
- Computer Science
- Java
- Wellness program
- Health insurance
AWS Cloud Data Engineer
Guidehouse —San Antonio, TX
- 6 years
- Computer Science
- System design
- Commuter assistance
- Health savings account
7d
AWS Cloud Data Engineer
Guidehouse Digital, LLC —San Antonio, TX
- Full-time
- 6 years
- Computer Science
- System design
- Commuter assistance
- Health savings account
7d
Managed Services - Senior Data Engineer - Senior Manager
PRICE WATERHOUSE COOPERS —San Antonio, TX
- $124,000 - $280,000 a year
- 6 years
- Computer Science
- Java
- Paid holidays
- Health insurance
13d
Data Engineer - Manager
PRICE WATERHOUSE COOPERS —San Antonio, TX
- $99,000 - $232,000 a year
- 5 years
- DevOps
- Research
- Paid holidays
- Health insurance
Managed Services - Senior Data Engineer - Manager
PRICE WATERHOUSE COOPERS —San Antonio, TX
- $99,000 - $232,000 a year
- Computer Science
- Java
- Finance
- Paid holidays
- Health insurance
Database Administrator (DBA) / Engineer (DBE) - FULLY CLEARED with POLYGRAPH REQUIRED
Constellation Technologies, Inc —San Antonio, TX
- $125,000 - $225,000 a year
- Java
- SQL
- Bachelor's degree
- Paid training
- Health savings account
Quick Apply
Associate Director, Lead Engineering Leader - PxE Talent
Deloitte —San Antonio, TX
- $130,900 - $268,700 a year
- Full-time
- Azure
- Computer Science
- 5 years
Firm Enterprise Solutions Director - Group Engineering Leader
Deloitte —San Antonio, TX
- $151,400 - $311,000 a year
- Full-time
- Azure
- Computer Science
- System design
Lead Engineering Senior Manager - PxE Consulting
Deloitte —San Antonio, TX
- $130,900 - $268,700 a year
- Full-time
- Azure
- Computer Science
- 5 years
Senior Software Engineer
TaxPlanIQ —United States
- $100,000 - $140,000 a year
- Email
- Remote
- Background check
- System design
- Java
- Health insurance
- Dental insurance
Quick Apply

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java etl engineer jobs near san antonio, tx

Junior Data Engineer

SWBC -
San Antonio, TX

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Job Details

Full-time

Benefits

Wellness program
Health insurance
401(k)

Qualifications

AI models
Data model design
Commercial use (data warehousing systems)
Cloud analytics services
Data Integration (Data management)
Data modeling projects
Schema design
SQL
ETL process automation
Agile software development
MLOps
Cross-functional communication
Database software proficiency

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 maintains high‑quality, AI‑ready datasets, including feature tables, historical snapshots, and time‑aware datasets for model training.
Implementing and enforces data quality, data validation, and data observability controls critical for downstream analytics and AI reliability.
Designs and evolves enterprise‑scale data models, including canonical, analytical, and feature‑oriented schemas.
Optimizing pipelines for performance, reliability, scalability, and cost across batch and near‑real‑time workloads.
Enables access to curated data for GenAI use cases, including text datasets, embeddings, and metadata supporting search and retrieval patterns.
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.

Serious candidates will possess the minimum qualifications:

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 and experience with databases such as PostgreSQL, MySQL, Snowflake, Redshift, or similar platforms.
Hands‑on experience building cloud‑based data pipelines.
Experience with orchestration tools such as Airflow, AWS Step Functions, or similar.
Strong 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.
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.
Exposure to MLOps concepts, such as data versioning, lineage, and reproducible pipelines.
Cloud certifications (AWS, Azure, or GCP) preferred.
Experience working in Agile/Scrum development environments.

SWBC offers*:

Competitive overall compensation package
Work/Life balance
Employee engagement activities and recognition awards
Years of Service awards
Career enhancement and growth opportunities
Leadership Academy and Mentor Program
Continuing education and career certifications
Variety of healthcare coverage options
Traditional and Roth 401(k) retirement plans
Lucrative Wellness Program

Based upon employee eligibility

Additional Information:

SWBC is a Substance-Free Workplace and requires pre-employment drug testing.

Please note, SWBC does not hire tobacco users as allowed by law.

To learn more about SWBC, visit our website at www.SWBC.com. If interested, please click the appropriate apply button.

Apply Now

Refine Your Search

java etl engineer jobs in san antonio, tx

Junior Data Engineer

AWS Cloud Data Engineer

AWS Cloud Data Engineer

Managed Services - Senior Data Engineer - Senior Manager

Data Engineer - Manager

Managed Services - Senior Data Engineer - Manager

Database Administrator (DBA) / Engineer (DBE) - FULLY CLEARED with POLYGRAPH REQUIRED

Associate Director, Lead Engineering Leader - PxE Talent

Firm Enterprise Solutions Director - Group Engineering Leader

Lead Engineering Senior Manager - PxE Consulting

Senior Software Engineer

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