Data Engineer II

Data Engineer II

Duration: 5 months (likely to extend)
Start Date: ASAP Location: Westbrook, ME (2x per week onsite)
W2/C2C: W2 Only

• This role requires an "On Call" rotation - 1 week per month/5 weeks
• This is the primary reason for the role; the product requires a 24/7 support presence

• Strong background in AWS cloud services, with a focus on data storage and pub/sub platforms (S3, SNS, SQS, Lambda, etc.)
• Proven experience in building and maintaining operational data pipelines, particularly with modern technologies like dbt, Airflow, and Snowflake.
• Strong proficiency in Python, and SQL.

• Familiarity with Infrastructure as Code solutions like Terraform
• Experience with Quality Engineering processes

• Design and implement ingestion and storage solutions using AWS services such as S3, SNS, SQS, and Lambda.
• Develop and implement analytical solutions leveraging Snowflake, Airflow, Apache Iceberg
• Collaborate with cross-functional teams to understand and meet data needs for processing.
• Develop and maintain scalable and reliable data solutions that support operational and business requirements.
• Document data flows, architecture decisions, and metadata to ensure maintainability and knowledge sharing.
• Design and implement fault-tolerant systems, ensuring high availability and resilience in our data processing pipelines.
• Actively participate in testing and quality engineering (QE) processes, collaborating closely with the QE team to ensure the reliability and accuracy of data solutions.

• Strong problem-solving skills and the ability to operate independently, sometimes with limited information.
• Strong communication skills, both verbal and written, including the ability to communicate complex issues to both technical and non-technical users in a professional, positive, and clear manner.
• Initiative and self-motivation with strong planning and organizational skills.
• Ability to prioritize and adapt to changing business needs.
• Proven experience in building and maintaining operational data pipelines, particularly with modern technologies like dbt, Airflow, and Snowflake.
• Strong proficiency in Python, and SQL.
• Strong background in AWS cloud services, with a focus on data storage and pub/sub platforms (S3, SNS, SQS, Lambda, etc.).
• Familiarity with Infrastructure as Code solutions like Terraform is a plus
• Familiarity with a broad range of technologies, including:
  • Cloud-native data processing and analytics
  • SQL Databases, specifically for analytics
  • Orchestration and ELT technologies like Airflow and dbt
  • Scripting and programming with Python, or similar languages
  • Infrastructure as Code languages like terraform
• Ability to translate complex business requirements into scalable and efficient data solutions.
• Strong multitasking skills and the ability to prioritize effectively in a fast-paced environment.

• Meeting delivery timelines for project milestones.
• Effective collaboration with cross-functional teams.
• Ensure high standards of data accuracy and accessibility in a fast-paced, dynamic environment.
• Reduction in data pipeline failures or downtime through resilient and fault-tolerant design.
• Demonstrated contribution to the stability and scalability of the platform through well-architected, maintainable code.
• Positive feedback from stakeholders (engineering, product, or customer-facing teams) on delivered solutions.
• Active contribution to Agile ceremonies and improvement of team velocity or estimation accuracy.
• Proactive identification and mitigation of data-related risks, including security or compliance issues.