Senior Data Engineer, Samsung Health

Samsung Electronics America; Vancouver; On-site; USD 97,000 - 145,000; Full time

Job summary

An established industry player is seeking a Senior Data Engineer to join their innovative Research and Analytics team in Vancouver. This role involves designing and implementing data solutions that handle terabytes of data daily, collaborating with cross-functional teams, and promoting a data-driven culture. The ideal candidate will have extensive experience in data engineering, cloud technologies, and a passion for big data. Join a dynamic environment where your contributions will directly impact business decisions and customer satisfaction. This is an exciting opportunity to grow your career while working with cutting-edge technologies in a supportive and collaborative setting.

Benefits

Extended health and dental benefits

Wellness and well-being benefits

Development opportunities

Savings matching (RRSP/TFSA/NRSP)

Qualifications

• 7+ years in Data Engineering with experience in product companies.
• Strong SQL knowledge and hands-on with AWS or GCP services.

Responsibilities

• Design data architecture for analytics and scalability.
• Collaborate with teams to improve data pipelines and governance.

Skills

Data Engineering

SQL

AWS

Python

Cloud Solutions

Data Governance

Agile/Scrum

CICD Tools

Education

BS in Computer Science

MS in Computer Science

Tools

AWS Services

Google Cloud Platform

Airflow

Hadoop

GitHub Actions

Job description

Position Summary

Samsung Research in Vancouver has taken a leadership role in big data. The data team in Vancouver handles massive amounts of data generated by Samsung’s cloud services and mobile devices. The team is responsible for turning this data into actionable insights that allows our customers to make data-driven decisions and create values to their business.

Why We Want You

The Research and Analytics team in Vancouver is looking for a Senior Data Engineer who is passionate on big data technology and delivering data solution to handle TB scale data per day and help the business meeting the distinct needs of different customer cohorts. The member will work closely with our data engineering, data science, backend and frontend, cloud engineering, UX design, and QA teams to develop data platform and data products.

What You’ll Do

• Be responsible for system architecture design and data engineering activities including data ingestion, modelling, processing and 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 cross-functional teams, including data scientists and business stakeholders.
• Design and implement data architecture that supports analytical needs and scalability.
• Implement and maintain cloud-based data solutions for various use cases ranging from batch data processing, near-real time data pipelines and AI/ML solutions.
• Document systems, workflows, and processing to maintain transparency and knowledge sharing.

Role and Responsibilities

• 7+ years of professional experience in Data Engineering with most of them from a product company.
• Architecture design and development of large-scale data platform and data applications.
• Good experience with large-scale multi-tier cloud applications and environments.
• Have deep understanding on data engineering principles, hands-on experience of high availability systems and API design.
• Strong knowledge of SQL (e.g. MySQL, PostgreSQL) and preferably experience with NoSQL databases and data warehouse solution.
• Extensive experience with AWS services (e.g. EC2, S3, Athena, Lambda, Redshift, EKS, Open Search) or Google Cloud Platform services (e.g. Big Query, Google Analytics).
• Good experience with open-source technologies such as Airflow, Superset, Datahub, Great Expectation.
• Good Hadoop ecosystem knowledge (e.g. Hadoop, Spark, Kafka, Hive, Presto).
• Proficient in at least one programming language and scripting languages (e.g. Python, Scala, Java, Bash).
• Good experience with CICD tools such as GitHub Actions.
• 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.
• AWS or GCP or Azure related certification.
• Experience with ML/AI engineering, BI engineering work.
• Experience with mobile Device Management business.

Skills and Qualifications

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.

The total rewards package for a Regular Full-Time employee may include variable incentive, savings matching (RRSP/TFSA/NRSP), extended health and dental benefits with spending accounts, wellness and well-being benefits, development opportunities, and other employee perks.

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.