Data Engineer (Remote)
A Washington-based nonprofit education organization is currently seeking an experienced Data Engineer to join their growing team in a Remote capacity.
In this role, the Data Engineer (Remote) will be responsible for playing a crucial role in establishing best-in-class data security and working closely with stakeholders to understand use cases, building data pipelines and warehouses, and ensuring data quality.
Responsibilities:
The Data Engineer (Remote) will:
Design, build, maintain, optimize, and document databases and data storage solutions to support operational excellence and impact management Build datasets that will identify gaps in access to early childhood education in underserved communities Build, maintain, and optimize data pipelines Ensure best-in-class data security and related practices Monitor and reduce bias in data Ensure data quality Stay up to date on industry trends and best practices, to drive data performance, data governance and ultimately improve mission outcomes Support other data and analytic projects as needed Perform other duties, as needed
Qualifications:
2
years of Data Engineering experience Bachelor's Degree in Computer Science and/or related field Experience with ETL development, automation, orchestration, and APIs Fluency in Python and SQL Experience with cloud environments and serverless technologies Solid understanding of how to work with key-value stories and blob / object stores Experience with both relational database management systems (RDBMS) and distributed big data systems (Redshift, Athena/Presto preferred) Experience working directly with APIs (without libraries), and knowledge of concurrency, call limits, etc.
Basic networking and security knowledge in the cloud context (eg, role-based security, IAM, monitoring, networking).
Desired Skills:
Experience with Redshift, Athena/Presto Experience with AWS Knowledge of professional software engineering best practices and computer science fundamentals Experience working with structured and unstructured data Skilled problem solver who can understand complex data needs and determine the best path forward to meet those needs Strong written and oral communication skills Recommended Skills Api Amazon Redshift Analytical Automation Big Data Communication Estimated Salary: $20 to $28 per hour based on qualifications.
In this role, the Data Engineer (Remote) will be responsible for playing a crucial role in establishing best-in-class data security and working closely with stakeholders to understand use cases, building data pipelines and warehouses, and ensuring data quality.
Responsibilities:
The Data Engineer (Remote) will:
Design, build, maintain, optimize, and document databases and data storage solutions to support operational excellence and impact management Build datasets that will identify gaps in access to early childhood education in underserved communities Build, maintain, and optimize data pipelines Ensure best-in-class data security and related practices Monitor and reduce bias in data Ensure data quality Stay up to date on industry trends and best practices, to drive data performance, data governance and ultimately improve mission outcomes Support other data and analytic projects as needed Perform other duties, as needed
Qualifications:
2
years of Data Engineering experience Bachelor's Degree in Computer Science and/or related field Experience with ETL development, automation, orchestration, and APIs Fluency in Python and SQL Experience with cloud environments and serverless technologies Solid understanding of how to work with key-value stories and blob / object stores Experience with both relational database management systems (RDBMS) and distributed big data systems (Redshift, Athena/Presto preferred) Experience working directly with APIs (without libraries), and knowledge of concurrency, call limits, etc.
Basic networking and security knowledge in the cloud context (eg, role-based security, IAM, monitoring, networking).
Desired Skills:
Experience with Redshift, Athena/Presto Experience with AWS Knowledge of professional software engineering best practices and computer science fundamentals Experience working with structured and unstructured data Skilled problem solver who can understand complex data needs and determine the best path forward to meet those needs Strong written and oral communication skills Recommended Skills Api Amazon Redshift Analytical Automation Big Data Communication Estimated Salary: $20 to $28 per hour based on qualifications.
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