Data Engineer

1 week ago


New Port Richey, Florida, United States Strada Education Foundation Full time
About the Role

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.
Requirements
  • 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.
Preferred Qualifications
  • 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.
What We Offer

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.


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