Junior Data Engineer (AI)

Location: San Antonio, TX, United States; full-time onsite role

Company

hirify.global is expanding its Data team to build data solutions that support analytics, machine learning, and AI workloads.

What you will do

• Design, develop, and maintain scalable, secure, and cost-efficient pipelines for structured and unstructured data.
• Build and manage cloud-native data warehouse, lakehouse, and streaming architectures.
• Implement ingestion and ELT pipelines using Openflow, Snowpipe-style services, third-party frameworks, and Lambda-based pipelines.
• Collaborate with data scientists, ML engineers, and business stakeholders on feature, training, and inference data requirements.
• Develop AI-ready datasets, including feature tables, historical snapshots, time-aware datasets, text datasets, embeddings, and metadata.
• Improve data quality, observability, governance, security, performance, reliability, scalability, and cost efficiency.

Requirements

• Bachelor’s degree or higher in Computer Science, Engineering, Data Science, or a related field, with one to three years of experience.
• At least one year of experience with modern data warehousing best practices and advanced SQL.
• Experience with PostgreSQL, MySQL, Snowflake, Redshift, or similar database platforms.
• Hands-on experience building cloud-based data pipelines and using orchestration tools such as Airflow or AWS Step Functions.
• Knowledge of data modeling, ETL/ELT patterns, data quality frameworks, machine learning data pipelines, feature engineering, and training data preparation.
• Proficiency in Python, Java, or Scala, plus strong problem-solving, communication, collaboration, and Agile/Scrum skills.

Nice to have

• Familiarity with feature stores, vector databases, MLOps, data versioning, data lineage, and reproducible pipelines.
• Experience with DBT, AWS Glue, SSIS, Fivetran, or similar ingestion and transformation tools.
• Cloud certification in AWS, Azure, or GCP.

Culture & Benefits

• Mentorship and a supportive, collaborative environment focused on continuous learning.
• Career growth opportunities, a Leadership Academy, and a Mentor Program.
• Continuing education and career certification opportunities.
• Healthcare coverage options, traditional and Roth 401(k) plans, and a wellness program.
• Work/life balance, employee engagement activities, recognition awards, and years-of-service awards.
• Pre-employment drug testing is required; tobacco users are not hired where permitted by law.