Junior Data Engineer

Junior Data Engineer

Requirements

• 0-2 years of experience as a Data Engineer, or in similar roles such as Software Engineer, Data Analyst, or Database Administrator.
• Bachelor’s Degree in Computer Science, Information Technology, Statistics, Data Science, Mathematics, or related quantitative field preferred. An equivalent combination of education and work experience will also be considered.
• Proficiency in at least one high-level programming language such as Python, Java, or .NET.
• Strong SQL coding ability.
• Familiarity with software version control, such as Git.
• Experience utilizing modern data infrastructure tools such as cloud data warehouses (Snowflake, BigQuery, etc.), data integration tools (dbt, Fivetran, Airflow, etc.), business intelligence tools (PowerBI, Sigma, etc.), CRM systems (Salesforce, Everyaction, etc.), and other enterprise data tools (such as Airtable) required.
• Demonstrated experience applying technical coordination and project management best practices using tools such as Asana and Jira required.
• Demonstrated ability to communicate technical information to non-technical audiences.
• Ability to collaborate with colleagues with transparency, inclusivity and trust.
• Self-starter who can work as part of a virtual team and remain motivated in a dynamic environment.
• Curiosity to stay on the cusp of software and product trends in non-profits and the greater tech industry.
• Commitment to Audubon’s organizational values of care, collaboration, change, integrity, impact, and innovation.
• Demonstrated personal and professional commitment to and experience in advancing equity, diversity, inclusion, and belonging.
• Genuine passion for conservation and the mission of the National Audubon Society.
• Ability to travel at least two times a year.

Responsibilities

• Support and maintain data workflows and business applications critical to Audubon’s operational success, leveraging enterprise data architecture tools and applications built in legacy tools and frameworks (such as .NET).
• Assist in modernizing data integrations between various data systems using a light-weight Python orchestration environment (Apache Airflow).
• Work closely with the Senior Coordinator of Data & Technology to help grow the maintainability of the technical stack by documenting support processes and systems interactions, as well as to helping to prioritize support needs and communicate solutions to stakeholders.
• Collaborate with various members of the organization to perform ad-hoc data explorations and analysis to troubleshoot data issues and clarify business requirements.
• Administer secure access to the data, including implementing data governance practices, user permissioning for systems and data sources, data hiding strategies such as row-level permissions and data masking.
• Contribute to the development and implementation of risk-mitigation efforts, including a disaster recovery program and job health monitoring.
• Contribute to initiatives that improve Audubon’s data governance, documentation, and data quality standards. Implements that guidance in practice with methodology documentation, metadata, code comments, etc.
• Convey willingness and customer orientation to train users of varying backgrounds and skillsets to utilize and partner in improving data engineering processes and practices.
• Collaborate with Audubon staff to ensure that equity, diversity, inclusion and belonging principles are incorporated and followed in all aspects of our work.
• Travel two or more times a year to attend in person meetings and events.
• Perform other job-related duties as assigned.

Preferred Qualifications

• Bachelor’s Degree in Computer Science, Information Technology, Statistics, Data Science, Mathematics, or related quantitative field preferred. An equivalent combination of education and work experience will also be considered.