Data Engineer I

We are seeking a Data Engineer I to join our highly collaborative and supportive team environment. The ideal candidate will have experience in SQL, distributed data processing frameworks, and AWS services. Responsibilities include end-to-end data ownership, data-driven experiences, and applying engineering best practices.

Requirements

• Experience in SQL and practical experience with at least one of Python, Scala, or Java.
• Experience working with distributed data processing frameworks such as Apache Spark and platforms like Databricks.
• Experience with AWS services (S3, Lambda, EMR, DynamoDB, CloudWatch, or equivalent).
• Basic to working knowledge of Terraform or other infrastructure-as-code frameworks.
• Solid understanding of database concepts including relational and NoSQL (e.g., MongoDB).
• Hands-on experience or familiarity with Kafka or other event-driven systems.
• Familiarity with CI/CD tools such as GitLab CI, GitHub Actions, or similar.
• Ability to complete assigned work independently while collaborating closely with senior engineers.
• Strong problem-solving skills, along with clear written and verbal communication and documentation abilities.
• Experience with medical, clinical, or regulated data (HIPAA, HITRUST, etc.) is a plus.
• Foundational experience or interest in data analytics, data modeling, or data product development.
• Experience supporting data and application teams building end-to-end data-driven features.
• Proficiency in development languages such as Python/Scala/Java, SQL, Spark or similar coding or scripting languages.
• Experience with Databricks, AWS, Terraform, GitLab/GitHub, MongoDB, Kafka, CI/CD and similar technologies.
• File management skills and logical problem solving.
• Ability to work with data models and structured/unstructured data.
• Working knowledge of industry engineering practices (e.g., code coverage, naming conventions, encapsulation).
• Familiarity with Agile methodologies.
• Strong understanding of data manipulation and transformation techniques.
• Ability and desire to learn new tools, processes, and technologies.
• Attention to detail and strong written/verbal communication skills.