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Cloud Data Engineer

Empyrean

Location
Houston
Workplace
Remote
Employment
Full Time
Salary
—
Apply on the employer’s site

Posted 1mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Responsibilities

  • Design and implement AWS-native ETL/ELT pipelines
  • Architect and maintain data warehouses
  • Build robust data ingestion patterns
  • Ensure pipelines are secure, observable, cost‑efficient, and reliable

Requirements

  • Strong understanding of data warehousing concepts and best practices
  • Expertise in SQL and query optimization for large-scale datasets
  • Proficiency in cloud data platforms (AWS preferred) and associated services (Glue, Lambda, Airflow, S3, etc.)
  • Strong programming skills (e.g., Python, C#, or similar) for ETL development and automation
  • Experience designing and implementing scalable ETL/ELT pipelines
  • Knowledge of modern data formats (Parquet, JSON, ORC) and file-based processing
  • Experience with data modeling (star/snowflake schemas, fact/dimension design)
  • Familiarity with data governance, lineage, and security in cloud environments
  • 2-4 years of experience in data engineering or data warehousing
  • Hands-on experience with cloud data platforms (AWS strongly preferred)
  • Experience building and maintaining large-scale data pipelines and warehouses
  • Experience working with BI tools such as Tableau, Power BI, Quick Sight or similar

Preferred

  • Experience integrating AI/LLM tools into engineering workflows is a plus
  • Experience with applied AI in data workflows is a plus

Skills

  • AWS Glue
  • AWS Lambda
  • Amazon MWAA
  • Apache Airflow
  • Step Functions
  • AWS Lake Formation
  • Amazon Redshift
  • Snowflake
  • Databricks
  • S3
  • Python
  • C#
  • Parquet
  • JSON
  • ORC
  • Tableau
  • Power BI
  • Quick Sight

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