Back
Popular Data Engineer role and mid-level experience amplify competition, brand not strong.
Core data engineering skills (ETL, SQL, cloud) are broadly transferable across industries.
Explicit five-year requirement plus multiple listed cloud and stack skills increases filtering rigor.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain scalable and highly available data architectures primarily on cloud platforms like AWS, Azure, or Google Cloud.
Build and maintain data pipelines, ETL processes, and data warehouses to ensure smooth data flow and availability.
Ensure data quality, accuracy, and consistency across multiple data sources and write SQL queries for analytics and reporting.
Bachelor’s degree in Science, Technology, or Engineering (any discipline).
Minimum 5 years of relevant work experience in data engineering or related occupation.
Proficiency with cloud platforms (AWS, Azure, or Google Cloud), programming languages like Python, Java, Scala, and expertise with RDBMS, NoSQL databases, and cloud data warehousing services such as Snowflake.
Work location is Alpharetta, GA with possible unanticipated locations throughout the U.S.
Experienced in managing end-to-end cloud-based data architectures and ETL pipelines.
Skilled in multiple programming languages relevant to data engineering and familiar with both relational and NoSQL databases.
Comfortable working in a U.S.-based environment with potential travel or relocation within the country.