Associate Data Engineer (AI)

Location: Austin, TX, USA

Company

hirify.global is a technology consulting firm delivering data, AI, cloud modernization, and modern data platforms for clients.

What you will do

• Develop and maintain defined components of data pipelines and platforms supporting analytics, machine learning, and AI workloads.
• Implement data ingestion, transformation, and orchestration tasks using established patterns and documented requirements.
• Execute tests and data validation checks; assist with deployment, monitoring, and troubleshooting of production data solutions.
• Write clean, maintainable, well-documented code and participate in code reviews, design discussions, and agile ceremonies.
• Document decisions, requirements, questions, and results while communicating progress and escalating blockers to the delivery team.
• Collaborate with CSTG consultants, client stakeholders, and experienced engineers while developing data engineering skills.

Requirements

• Foundational hands-on experience building data pipelines, processing data, or working with data platforms through employment, internships, apprenticeships, coursework, or personal projects.
• Foundational programming skills in Python, Java, or Scala, demonstrated through scripts or projects that process, transform, or move data.
• Working knowledge of SQL, including filtering, joining, aggregating, and transforming data in relational tables.
• Foundational understanding of data integration and pipeline concepts, with exposure to one or more of Spark, Databricks, Snowflake, Redshift, Azure Fabric, AWS Glue, or Azure Data Factory; familiarity with every listed technology is not required.
• Familiarity with data modeling concepts and analytics-focused data structures.
• Understanding of data quality concepts such as validation and consistency.
• Foundational familiarity with AWS and/or Azure data services through hands-on projects, labs, coursework, internships, or professional experience.
• Ability to collaborate effectively within a team and communicate technical concepts clearly.

Nice to have

• AWS or Azure certifications, or willingness to pursue certifications.
• Databricks or Snowflake certifications, or willingness to pursue certifications.
• Experience with agentic tooling such as AWS Quick, Claude Work, Claude, Copilot, or OpenClaw.
• Exposure to CI/CD pipelines or infrastructure-as-code concepts.
• Exposure to NoSQL databases or distributed data systems.
• Exposure to AI-powered software development tools such as Claude Code, Cursor, Kiro, or similar.
• Exposure to consulting, client-facing work, or collaborative projects involving communication of technical information.

Culture & Benefits

• Collaborative, cross-functional teams combining consultants and client stakeholders.
• Hands-on consulting environment focused on moving from strategy to implementation.
• Structured learning and growth through scoped assignments, established engineering patterns, feedback, and ongoing development.
• Participation in client conversations, solution discussions, code reviews, and agile team ceremonies.