Data Engineer

Agama SolutionsPleasanton, CA

About The Position

This role focuses on building modern data pipelines, including ingestion, profiling, integration, summarization/aggregation, logging, and DAGs. The Data Engineer will also be responsible for building data quality frameworks and performing exploratory data analysis. Experience with cloud-based data warehousing and data lake platforms is essential.

Requirements

  • Bachelor's degree or equivalent experience in computer science, applied math, physics, engineering, statistics, economics or related field.
  • 3+ years of industry experience in Data Engineering
  • 3+ years of work experience including hands-on technical experience with SQL, Python, PySpark, Jupyter Notebook, database design, and ETL processes
  • Proven experience on building modern data pipelines - Ingestion, Profiling, Integration, Summarization / Aggregation, Logging, DAG
  • Strong experience building Data Quality frameworks and performing Exploratory Data Analysis (EDA)
  • Proven hands-on experience with cloud-based data warehousing / data lake platforms such as AWS S3, GitRepo, Lambda

Responsibilities

  • Build modern data pipelines (Ingestion, Profiling, Integration, Summarization / Aggregation, Logging, DAG)
  • Build Data Quality frameworks
  • Perform Exploratory Data Analysis (EDA)
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service