Senior Data Engineer, Samsung Health

SAMSUNG; Vancouver; Hybrid; CAD 97,000 - 145,000; Full time

Job summary

A leading technology company in Vancouver is looking for an experienced Data Engineer to join their innovative Digital Health Analytics team. The role involves building scalable data solutions and processing large volumes of data. Candidates must have 7+ years of experience in software and big data, familiar with cloud applications and data processing platforms. This position offers hybrid work conditions and a competitive salary range between $97,070 to $144,540.

Benefits

Competitive Salary

Hybrid Work

RRSP Matching

Employer Paid Health Coverage

Professional Development Opportunities

Free onsite gym

Qualifications

• 7+ years of professional experience in software and big data.
• Experience developing large-scale data processing pipelines.
• Strong knowledge of SQL and experience with NoSQL databases.

Responsibilities

• Handle data engineering activities including data ingestion and data governance.
• Improve the data pipeline to process large scale data efficiently.
• Collaborate with stakeholders to define solutions for business requirements.

Skills

Data Engineering

Big Data Technologies

SQL (MySQL, PostgreSQL)

AWS Services

Programming (Python, Java, Scala)

Data Processing Pipelines

Education

BS or MS in Computer Science or equivalent education

Tools

Airflow

Kubernetes

Hadoop Ecosystem

ETL Tools

CICD Tools (GitHub Actions, CircleCI)

Job description

Position Summary

Are you an experienced Data Engineer with a passion for big data technologies and a proven track record of delivering scalable data solutions? Join our innovative Digital Health Analytics team in Vancouver, where you’ll play a pivotal role in handling terabytes of data daily and driving impactful business outcomes.

If you want to work for one of the most recognized brands in the world and one of the Top 100 Employers in Canada, then please keep reading!

What We Offer

• Hybrid Work
• Competitive Salary
• RRSP Matching
• Employer Paid Flexible Health Coverage (from day one)
• Employee Purchase Program – discounts!
• Professional Development Opportunities
• Free onsite gym, showers and bike storage room
• Employee Referral Program – we want great talent like you!

Role and Responsibilities

Be responsible for data engineering activities including data ingestion, data modelling, data processing data governance

Work with team to improve the data pipeline to process large scale data efficiently. Be a data steward to educate and promote the data importance and data-driven culture.

Be constantly challenged to learn and grow with new technologies, identify and solve complex problems via data

Collaborate with the key stakeholders, product owners, external vendors to define solutions for business and technical requirements.

Lead, participate, guide and mentor other team members on data processing design & implementation best practices

Skills and Qualifications

7+ years of professional experience in software and big data with most of them from a product company

Experience developing large-scale data processing pipelines and implementing ETL using modern tools & best practices

Experience on large-scale multi-tier cloud applications and environments

Have deep understanding on data engineering principles, hands‑on experience of large-scale analytics systems

Strong knowledge of SQL (MySQL, PostgreSQL) and preferably experience with NoSQL databases

Extensive experience with various AWS services (e.g. EC2, S3, Athena, Lambda, Kinesis Firehose, Redshift)

Experience with Airflow, EKS, EMR, Redshift, Kubernetes

• Good Hadoop ecosystem knowledge (e.g. Hadoop, Spark, Kafka, Hive, Presto)
• Proficient in at least one programming language and scripting languages (Python, Java, Scala, Bash)
• Experience with CICD tools such as Github Actions and CircleCI
• Familiar with Agile / Scrum software development methodologies

BS or MS in Computer Science or equivalent education

Excellent written and verbal communication and presentation skills to effectively communicate information to all levels within the organization

Bonus Skills

• DevOps skills: create build & install scripts, Terraform, UNIX-based systems management, release management, production monitoring, etc.
• Experience creating visualization & dashboards using tools like Tableau or Apache Superset
• Experience with Health, IoT or Mobile Device Management business
• Experience with Lakehouse architectures and table formats such as Apache Iceberg, Apacha Hudi or Delta Lake
• Operational experience tuning & debugging large volume Spark jobs

The salary range for this role is expected to be between $97,070 to $144,540 and reflects base salary only. Actual pay will be determined based on a number of factors and may vary depending on job‑related knowledge, competencies, qualifications, relevant skills and experience.

Samsung is an equal employment opportunity employer. We thank you for your interest in working for Samsung. Only candidates selected for an interview will be contacted.

Please note that we reserve the right to modify or remove job postings at any time.

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