Associate Data Engineer

CleanSlate Technology Group • Austin, TX

6h

About The Position

CleanSlate Technology Group (CSTG) is a technology consulting firm focused on Data, AI, and Cloud Modernization. Through its Data and AI Practice, CSTG partners with clients to build scalable, reliable data foundations across AWS and Azure, including modern data platforms and pipelines for analytics, machine learning, and AI in production environments.

As an Associate Data Engineer, you will contribute to client data engineering projects by completing defined development, testing, and documentation tasks with guidance from experienced engineers. You will help build and maintain data pipelines and platform components supporting analytics, machine learning, and AI use cases. The role emphasizes execution, learning, and growth through scoped assignments, established engineering patterns, and feedback. You will participate in solution discussions and client conversations with delivery-team support, communicate progress, ask questions, and raise issues professionally. As your experience develops, you will take on more complex work with greater independence.

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 the ability to filter, join, aggregate, and transform data in relational tables.
• Foundational understanding of data integration and pipeline concepts, with exposure to one or more relevant technologies such as 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, gained through hands-on projects, labs, coursework, internships, or professional experience.
• Ability to collaborate effectively within a team and communicate technical concepts clearly.

Nice To Haves

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

Responsibilities

• Develop and maintain defined components of data pipelines and platforms supporting analytics, machine learning, and AI workloads, using established designs and guidance from experienced engineers.
• Implement assigned data ingestion, transformation, and orchestration tasks using established patterns, documented requirements, and team review.
• Participate in solution design and technical discussions by asking questions, documenting decisions, and completing follow-up tasks with guidance from senior team members.
• Write clean, maintainable, well-documented code aligned with team standards.
• Execute assigned tests and data validation checks, document results, and assist with deployment, monitoring, and troubleshooting of production data solutions under team guidance; escalate unexpected results and issues.
• Collaborate with CSTG team members and client stakeholders by sharing task updates, documenting questions and requirements, and promptly raising blockers.
• Participate in code reviews, design discussions, and agile team ceremonies; incorporate feedback and ask questions to strengthen understanding of team practices.
• Follow and apply engineering standards, patterns, and best practices.
• Pursue ongoing learning and development of data engineering skills.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed