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Data Engineer
2 months ago
We are seeking a highly skilled Data Engineer to join our team at Strada Education Foundation. As a Data Engineer, you will play a critical role in designing, building, and maintaining our data infrastructure. You will work closely with our software engineers and data scientists to build a secure and high-quality data platform that supports our mission to provide actionable insights for non-degree credentials.
Key Responsibilities- Design, develop, and optimize ETL processes using AWS Glue, Redshift & Snowflake using DBT and/or SQLMesh.
- Become an expert at using the platform to integrate data from our credential partners.
- Actively engage with clients, guiding them through the onboarding process, and build custom configurations to ingest their data into our core data model.
- Implement and maintain data quality checks and best practices & ensure strong quality assurance practices are followed in all development work.
- Ensure data security and compliance with relevant regulations and best practices.
- Write and maintain comprehensive documentation for data processes and infrastructure.
- Work closely with data scientists, security teams, software engineers, and other stakeholders to ensure data solutions meet client and core engineering needs.
- Occasionally act as a part-time scrum master, facilitating agile practices within the team.
- Keep abreast of the latest trends and best practices in data engineering and related technologies.
- Bachelor's degree in computer science, Information Technology, or a related field is preferred but not mandatory.
- Minimum 3-4 years of experience in data engineering or a related field, building ETL processes and data integration solutions.
- Very proficient in SQL and Python.
- Strong experience with AWS data technologies, including Glue and Athena.
- Strong Experience with data warehousing solutions such as Snowflake & Redshift.
- Strong Familiarity with data transformation tools like DBT.
- Working familiarity with data governance techniques and technologies supporting data lineage, metadata management, and data quality.
- Good working experience of Git / GitHub
- Excellent problem-solving skills and attention to detail.
- Flexible and able to shape best practices in data engineering.
- Experience with work management using Jira & Confluence.
- Experience with data science & ML technologies, such as R, PyTorch, AWS SageMaker.
- Previous experience in a startup or non-profit environment.
We offer a competitive salary and benefits package, as well as the opportunity to work with a talented team of professionals who are passionate about education and technology. If you are a motivated and detail-oriented individual who is looking for a challenging and rewarding role, please submit your application.
