Cloud Data Engineer

We are building the next generation of our enterprise data platform and are seeking a Cloud Data Engineer to architect, develop, and optimize large-scale, cloud-native data warehousing and ETL pipelines on AWS. You will be responsible for designing our data warehouses, implementing scalable AWS-based ingestion and transformation pipelines, and enabling high-quality analytics and BI across the organization. This role is ideal for someone with deep hands-on engineering expertise in cloud data ecosystems, data modeling, analytics enablement, and modern ETL patterns ESSENTIAL DUTIES AND RESPONSIBILITIES Design and implement AWS-native ETL/ELT pipelines using services such as: AWS Glue AWS Lambda Amazon MWAA / Apache Airflow Step Functions S# / Lake Formation Architect and maintain data warehouses using Amazon Redshift (or Snowflake/Databricks on AWS). Build robust data ingestion patterns including incremental loads, partitioning strategies, and schema evolution handling. Ensure pipelines are secure, observable, cost‑efficient, and reliable in production environments. REQUIRED SKILLS AND ABILITIES 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 Experience integrating AI/LLM tools into engineering workflows is a plus Strong written and verbal communication skills Ability to manage multiple priorities and meet deadlines in a fast-paced environment KNOWLEDGE, EXPERIENCE, AND/OR EDUCATION REQUIREMENTS Bachelor’s degree preferred but not required In lieu of a degree, equivalent experience in data engineering, computer science, or related field 5–8 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 Experience with applied AI in data workflows is a plus Disclaimer: This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the job. Management reserves the right to modify or reassign job duties as business needs evolve. #LI-RZ1 #LI-Remote Empyrean is an Equal Opportunity Employer: including disability and protected veteran status