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Added 7 days ago
SM
Senior Research Associate Knowledge Translation TIES
St. Michael's Hospital
Toronto, ON
- Temporary
Added 7 days ago
NB
Senior Data Scientist, Credit Risk
National Bank of Canada
Richmond Hill, ON
- Full-time
Demonstrate strong programming capabilities using tools such as Python, SQL, SAS, or other analytical programming languages.
Added 7 days ago
A
Marketing Analyst (Bangkok Based, relocation provided)
Agoda
Vancouver, BC
- Full-time
Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL
Added 7 days ago
A
Analyst/Senior Analyst, Customer Marketing (Bangkok Based, Relocation provided)
Agoda
Vancouver, BC
- Full-time
Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BI
Added 7 days ago
A
Analyst/Senior Analyst, Customer Marketing (Bangkok Based, Relocation provided)
Agoda
Vancouver, BC
- Full-time
Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BI
Added 7 days ago
A
Analyst, Flights Marketing (Bangkok Based, relocation provided)
Agoda
Vancouver, BC
- Full-time
Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau
Added 7 days ago
A
Analyst, Flights Marketing (Bangkok Based, relocation provided)
Agoda
Vancouver, BC
- Full-time
Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau
Added 7 days ago
A
Analyst, Marketing Analytics and Strategy (Bangkok Based, relocation provided)
Agoda
Vancouver, BC
- Full-time
Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL
Added 7 days ago
A
Associate Analyst, Marketing (Bangkok Based, relocation provided)
Agoda
Vancouver, BC
- Full-time
Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL
Added 7 days ago
A
Associate Analyst, Marketing (Bangkok Based, relocation provided)
Agoda
Toronto, ON
- Full-time
Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL
Added 7 days ago
A
Analyst/Senior Analyst, Customer Marketing (Bangkok Based, Relocation provided)
Agoda
Montreal, QC
- Full-time
Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BI
Added 7 days ago
A
Associate Data Analyst (New Graduate, Thai Speaking) (Marketing Analytics, Bangkok Based)
Agoda
Vancouver, BC
- Full-time
Exposure to data tools (SAS, R, SPSS, Python, VBA, SQL, Tableau)
Added 7 days ago
A
Associate Data Analyst (New Graduate, Thai Speaking) (Marketing Analytics, Bangkok Based)
Agoda
Montreal, QC
- Full-time
Exposure to data tools (SAS, R, SPSS, Python, VBA, SQL, Tableau)
Added 7 days ago
A
Associate Data Analyst (New Graduate, Thai Speaking) (Marketing Analytics, Bangkok Based)
Agoda
Toronto, ON
- Full-time
Exposure to data tools (SAS, R, SPSS, Python, VBA, SQL, Tableau)
Added 7 days ago
TF
Research Assistant – Biostatistics & Scientific Writing
The Fertility Partners
Montreal, QC
- $31.57 to $39.46 CAD / hour
- Full-time
Proficiency in at least one statistical software or programming language such as R, SAS, or Python;
Added 7 days ago
J
Senior Engagement Manager
Jobgether
Canada
- Full-time
Experience with fraud detection and decisioning platforms, such as Actimize, FICO, or SAS.
Added 7 days ago
C
Senior Mainframe Developer - Hybrid
Cognizant
Toronto, ON
- Full-time
We are seeking a highly skilled Mainframe Developer with 8+years of experience in designing developing enhancing and supporting enterprise-scale Mainframe applications. The ideal candidate…
Added 7 days ago
Manager, TVM
Rogers Communications
Toronto, ON
Strong proficiency with Excel, PowerPoint, Access and Word. Knowledge of SQL, SAS required
Added 7 days ago
AC
SAS/Python Developer
Adastra Corporation
Markham, ON
- Full-time
Join Adastra’s Data Engineering team as a SAS/Python Developer, where you will help build and modernize the data platforms that power customer analytics, personalization, marketing, risk,…
Added 7 days ago
B
Senior Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Build and optimize scalable batch and near-real-time data pipelines using Python, SQL, SAS, AWS Glue, Athena, PySpark, APIs, databases, file-based integrations, and cloud object storage.
Added 7 days ago
B
Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Develop data solutions using Python, SQL, SAS, AWS Glue, Athena, PySpark/Spark, APIs, and cloud-based data services, applying established engineering patterns and standards.
Added 7 days ago
B
Senior Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Build and modernize data-driven workflows using Python, SQL, SAS, AWS Glue, Athena, PySpark/Spark, APIs, and approved automation technologies.
Added 7 days ago
NB
Senior Data Scientist Implementation and Codification
National Bank of Canada
Richmond Hill, ON
- Full-time
Completion of SAS certification would be an asset.
Added 8 days ago
NB
Senior Data Scientist Model Developement and Validation
National Bank of Canada
Richmond Hill, ON
- Full-time
Hands-on experience with SAS, Python, MS Excel (VBA) or SQL.
Added 8 days ago
WS
Actuarial Associate
Workplace Safety and Insurance Board (WSIB)
Toronto, ON · North York, Canada
- Full-time

Adastra Corporation

SAS/Python Developer

175 Commerce Valley Dr. W, Markham, ON, L3T 7P6, Canada

Compensation Range: $65,000 – $75,000 CAD · Full-time

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Job details

Pay: Compensation Range: $65,000 – $75,000 CAD
Job type: Full-time
Apply by: Oct 20, 2027
Posting language: English
Posted: Oct 20, 2026

Original job description

Overview

Join Adastra’s Data Engineering team as a SAS/Python Developer, where you will help build and modernize the data platforms that power customer analytics, personalization, marketing, risk, and regulatory initiatives. In this role, you will develop and maintain scalable data pipelines, transform and integrate customer data from multiple sources, and support the migration of legacy SAS processes to modern Python and cloud-based technologies. You will play a key role in creating trusted customer data assets, improving data quality, and enabling business teams with a unified and reliable view of customers across the organization.

Primary Location: Across Canada

Work Model: Hybrid 2-Days Onsite

Employment Type: Permanent Full-Time

Vacancy Status: New

Compensation Range: $65,000 – $75,000 CAD

RESPONSIBILITIES

Design, build, and maintain ETL/ELT pipelines that integrate customer, account, product, and transaction data from multiple enterprise data sources
Develop and maintain SAS programs using Base SAS, Macros, and PROC SQL to support customer data marts, segmentation, and campaign selection processes
Build Python-based data processing and automation solutions using pandas, PySpark, and SQL
Migrate legacy SAS processes to Python and Spark while validating and reconciling outputs to ensure accuracy
Develop and maintain customer master data solutions, including identity resolution, deduplication, householding, and golden record management
Create Customer 360 datasets, behavioral and demographic attributes, and reusable data assets for analytics and data science teams
Implement data quality controls, profiling, reconciliation processes, and data lineage documentation
Apply data privacy and regulatory controls, including PII protection, consent management, and compliance requirements
Optimize batch and near-real-time data processing workloads for performance and scalability
Monitor production data pipelines, support service-level agreements, and resolve data-related incidents
Collaborate with business stakeholders, including marketing, risk, compliance, BI, and data science teams, to define and deliver data products
Contribute to documentation, code reviews, release management, and continuous improvement initiatives

QUALIFICATIONS, SKILLS & EXPERIENCE

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Statistics, or a related field
3+ years of SAS development experience, including Base SAS, Macros, and PROC SQL
2+ years of Python development experience with pandas and SQL
Experience working with PySpark or distributed data processing frameworks
Strong SQL skills and experience with enterprise data warehouses such as Oracle, SQL Server, Teradata, or similar platforms
Hands-on experience developing and supporting ETL/ELT processes and data pipelines
Working knowledge of data modeling concepts, including dimensional modeling and data marts
Experience handling customer, financial, or other regulated data domains
Familiarity with Git, code review practices, and controlled release processes
Strong analytical, troubleshooting, documentation, and communication skills

NICE TO HAVE

Experience with customer data platforms (CDPs), MDM solutions, or CRM platforms such as Salesforce, Informatica MDM, Adobe Experience Platform, or Pega
Knowledge of entity resolution, matching algorithms, and customer identity management
Experience working with cloud and big data technologies, including AWS, Azure, Databricks, Snowflake, or Apache Spark
Experience with orchestration tools such as Airflow or Control-M
Familiarity with data quality, metadata, or catalog platforms such as Collibra or Great Expectations
Experience supporting marketing analytics, personalization, customer segmentation, or customer lifetime value initiatives
Understanding of data governance, data lineage, and privacy-by-design principles
Experience supporting Customer 360, customer master data, or customer analytics initiatives within financial services

ABOUT ADASTRA

Adastra is a global leader in AI and data-driven transformation, helping organizations lead with artificial intelligence - responsibly, strategically, and at scale. With over 25 years of experience, Adastra empowers enterprise clients to unlock business value through data innovation, operational excellence, and smart customer engagement.

Trusted by some of the world’s most prominent brands, Adastra delivers end-to-end solutions grounded in thoughtful strategy, robust governance, and deep technical expertise. From defining vision to ensuring execution, Adastra guides organizations through every stage of their AI, data and cloud journey - building future-ready capabilities and delivering measurable, lasting impact.

Adastra serves clients across key industries including financial services, automotive, manufacturing, technology, media and telecom (TMT), healthcare, retail, and professional services. The company employs more than 2,000 professionals across North America, Europe, and Asia.

WHAT WE OFFER

Opportunity for advancement and career progression
Competitive compensation package
Comprehensive benefits plan
Successful referral program
The opportunity to work with one of Canada’s 50 Best Managed Companies
Satisfaction of working for a reputable company
A flexible, dynamic, and diverse workplace

EQUAL OPPORTUNITY EMPLOYER

In our commitment to promote fair and equitable treatment of all employees and applicants, Adastra Corporation provides equal employment opportunities for all individuals regardless of age, sex, disability, race, ethnic origin, citizenship, creed, sexual orientation, marital status, or any other ground as described in the Ontario Human Rights Code. In addition, accommodation will be provided during the hiring process. Adastra Corporation’s implementation and support of employment initiatives, encourage diversified labour force participation and equal access to opportunities based on merit and performance.

AI Usage - Our hiring process includes the use of AI-enabled tools to screen applications (e.g., keyword matching, qualification ranking). A human recruiter reviews all AI-generated shortlists to make informed hiring decisions.

There has been an increased instance of fraudulent job offers coming from people posing as Adastra HR employees. Please note that Adastra will never request fees as part of our recruiting process and any emails sent to you that are not from ‘@adastragrp.com’ or ‘@talent.icims.com’ are fraudulent. All employment offers are sent via DocuSign and if you receive an employment offer from a suspicious email and not via DocuSign, it is fraudulent.

Contact careers@adastragrp.com to inquire about jobs at Adastra, to report a suspicious request for money or personal information from external websites or suspicious employment offers.

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More about this job

Responsibilities

Design and maintain data pipelines and customer data assets, develop SAS and Python solutions, and migrate legacy SAS processes to Python and Spark. Ensure data quality, privacy, performance, and reliability while collaborating with business and technical teams to deliver customer analytics data products.

Requirements

Requires a bachelor’s or master’s degree in a relevant field, at least three years of SAS development experience, and at least two years of Python development experience. Candidates should have strong SQL and ETL/ELT skills, experience with distributed data processing and enterprise data warehouses, and familiarity with data modeling, regulated data, Git, and release practices.

Skills

SAS
Python
ETL/ELT Pipelines
SQL
PySpark
Pandas
Data Warehousing
Data Modeling
Customer Master Data
Identity Resolution
Data Quality
Data Privacy
Git
Cloud Technologies
Data Governance
Troubleshooting

Benefits

Comprehensive Benefits Plan
Referral Program
Career Advancement Opportunities
Flexible and Diverse Workplace

Visa sponsorship

Not detected in the job text

Keywords

SAS
Base SAS
SAS Macros
PROC SQL
Python
Pandas
PySpark
Apache Spark
SQL
ETL/ELT
Data Pipelines
Data Warehousing
Oracle
SQL Server
Teradata
Customer 360
Customer Master Data
Identity Resolution
Deduplication
Householding
Data Quality
Data Lineage
Data Privacy
PII Protection
Git
AWS
Azure
Databricks
Snowflake
Airflow

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