Associate Data Engineer

CleanSlate Technology Group (CSTG) is building data and AI capabilities through its Data and AI Practice, bringing together CSTG consultants and client stakeholders to address complex data challenges. The Associate Data Engineer role supports defined, scoped work that helps deliver production-ready data pipelines and platform components for analytics, machine learning, and AI use cases, with guidance from experienced engineers.

In this onsite position in Austin, TX, you will complete development, testing, and documentation tasks for client engagements, contributing to ingestion, transformation, orchestration, and validation activities while steadily expanding your data engineering skills.

What you’ll do

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

What you bring

• 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 via 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 technologies such as Spark, Databricks, Snowflake, Redshift, Azure Fabric, AWS Glue, or Azure Data Factory (familiarity with all is not required).
• Familiarity with data modeling concepts and analytics-focused data structures.
• Understanding of data quality concepts, including 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 and communicate technical concepts clearly within a team.

Technologies

• Python, Java, Scala
• SQL
• Spark, Databricks, Snowflake, Redshift
• Azure Fabric, Azure Data Factory
• AWS Glue
• AWS, Azure

Preferred qualifications

• AWS or Azure certifications; willingness to pursue certifications.
• Databricks or Snowflake certifications; willingness to pursue certifications.
• Exposure to 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 involving communication of technical information.