Sr AWS Data Engineer , Halifax, Canada
- Halifax, NS
- Hybrid
- Posted Nov 11, 2026
- 1 position
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- Employment type
- Contract
- Experience level
- Senior · 5+ years
- Posting language
- English
- Application method
- Apply on LinkedIn (LinkedIn sign-in required)
Job summary
Lead the design, development, and testing of data architectures and pipelines that process large-scale data and align with business and solution architecture requirements. Provide technical leadership, ensure high-quality data solutions, collaborate with business units, and oversee data solutions supporting predictive and prescriptive analytics.
Job details
Job Title: Sr AWS Data Engineer Location: Halifax, Canada - Hybrid Duration: Long Term Job Description:- Work Experience 7-10Years Position Summary: The Senior Data Engineer leads complex data engineering projects, working on designing 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. Minimum Qualifications: ? 8+ Years overall IT experience with minimum 5 years of work experience in below tech skills ? Tech Skills: ? Strong experience in Python Scripting and PySpark for data processing ? Proficiency in SQL, dealing with big data processing ? Experience in AWS cloud platform and its data services (S3, Redshift, Lambda, EMR, Airflow, Glue) ? Expertise in BASH/Shell scripting ? Strong understanding of healthcare insurance domain and experience leading data engineering teams ? Experience in Agile environments. ? Excellent problem-solving skills and attention to detail. ? Effective communication and collaboration skills. Responsibilities: ? Leads development of data pipelines and architectures that handle large-scale data sets. ? Designs, constructs, and tests data architecture aligned with business requirements. ? Provides technical leadership for data projects, ensuring best practices and high-qualitydata solutions. ? Collaborates with product, finance, and other business units to ensure data pipelines meet business requirements. ? Oversees development of data solutions that enable predictive and prescriptive analytics. ? Ensures the technical quality of solutions, managing data as it moves across environments. • Aligns data architecture to Healthfirst solution architecture.
What you’ll do
Lead the design, development, and testing of data architectures and pipelines that process large-scale data and align with business and solution architecture requirements. Provide technical leadership, ensure high-quality data solutions, collaborate with business units, and oversee data solutions supporting predictive and prescriptive analytics.
Requirements
Requires 8 or more years of overall IT experience, including at least 5 years with relevant technologies, with the posting also indicating 7–10 years of work experience. Candidates should have strong Python, PySpark, SQL, AWS data services, and Bash/Shell skills, along with healthcare insurance domain knowledge, data engineering team leadership experience, Agile experience, and strong communication and problem-solving abilities.
Listed skills
- Python · Preferred
- SQL · Preferred
- Amazon Web Services · Preferred
- Agile · Preferred
- Team Leadership · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Python
- PySpark
- SQL
- AWS
- Amazon S3
- Amazon Redshift
- AWS Lambda
- Amazon EMR
- Apache Airflow
- AWS Glue
- Bash/Shell Scripting
- Data Pipeline Development
- Data Architecture
- Healthcare Insurance
- Agile
- Team Leadership
Job areas
- Data & Analytics
- Technology
- Software
- Healthcare
- Management & Leadership