Role: Senior Data Engineer

Type: Contract

Location: Remote - Canada

Required Skills: Data-AWS Glue with EMR, Spark, Redshift, Kinesis, S3, AWS Native Data Services.

Position Summary The Senior Data Engineer leads complex data engineering projects and designs data architectures that align with business requirements. This role focuses on optimizing data workflows, managing data pipelines, and ensuring the smooth operation of data systems.

Responsibilities

- Lead development of data pipelines and architectures that handle large-scale data sets.
- Design, construct, and test data architecture aligned with business requirements.
- Provide technical leadership for data projects, ensuring best practices and high-quality data solutions.
- Collaborate with product, finance, and other business units to ensure data pipelines meet business requirements.
- Oversee development of data solutions that enable predictive and prescriptive analytics.
- Ensure the technical quality of solutions, managing data as it moves across environments.




- Align data architecture to Healthfirst solution architecture.

Minimum Qualifications / Experience

- 8+ years of overall IT experience
- Minimum 5 years of work experience in the tech skills listed below

Technical Skills

- Solid experience in Python scripting and PySpark for data processing
- Proficiency in SQL, including big data processing
- Proven experience in data processing for a data lake in Iceberg format, with a strong understanding of the architecture
- Experience with AWS Glue jobs
- Experience with the AWS cloud platform and its data services: S3, Redshift, Lambda, EMR, Airflow, Postgres, SNS, EventBridge
- Expertise in Bash/Shell scripting

Domain & Leadership

- Strong understanding of healthcare finance systems
- Experience leading data engineering teams
- Experience in Agile environments

Soft Skills

- Excellent problem-solving skills and attention to detail
- Effective communication and collaboration skills.

📌 Senior Data Engineer (Canada)
🏢 XChange Software
📍 Canada