SAS/Python Developer

Adastra Corporation; Markham; Hybrid; CAD 65,000 - 75,000; Full time

Benefits offered by this job

Career progression

Competitive compensation package

Comprehensive benefits plan

Successful referral program

recognitions—Canada’s 50 Best Managed

Flexible, dynamic, diverse workplace

Job summary

Adastra Corporation is seeking a SAS/Python Developer to design, build, and modernize data pipelines powering analytics, marketing, risk, and regulatory initiatives. You will migrate legacy SAS processes to Python and cloud-based technologies while ensuring data quality and governance.

You will work hybrid with two onsite days per week and collaborate with data engineering, BI, and analytics teams to deliver scalable data solutions and documentation as part of a dynamic data platform team.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Statistics, or related field.
• 3+ years SAS development experience including Base SAS, Macros, PROC SQL.
• 2+ years Python development with pandas and SQL.
• Experience with PySpark or distributed data processing frameworks.
• Strong SQL skills and experience with enterprise data warehouses (Oracle/SQL Server/Teradata).
• Hands-on ETL/ELT development and data pipeline experience.
• Knowledge of data modeling concepts including dimensional modeling and data marts.
• Experience handling regulated data domains.
• Familiarity with Git, code reviews, and release processes.
• Strong analytical, troubleshooting, documentation, and communication skills.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines that integrate data from multiple sources.
• Develop and maintain SAS programs to support data marts, segmentation, and campaigns.
• Build Python-based data processing and automation solutions using pandas, PySpark, and SQL.
• Migrate legacy SAS processes to Python and Spark, validating outputs for accuracy.
• Develop and maintain customer master data solutions including identity resolution and deduplication.
• Create Customer 360 datasets and reusable data assets for analytics.
• Implement data quality controls, profiling, and data lineage documentation.
• Apply data privacy and regulatory controls including PII protection and consent management.
• Optimize batch and near-real-time processing for performance and scalability.
• Monitor production pipelines and support SLAs, incidents.
• Collaborate with marketing, risk, compliance, BI, and data science teams to define data products.
• Contribute to documentation, code reviews, release management, and continuous improvement initiatives.

Skills

Base SAS

Macros

PROC SQL

Python (pandas)

PySpark

SQL

Data Warehousing

Data Modeling

Git

Analytical Skills

Education

Bachelor's or Master's in Computer Science / Data Engineering

Tools

Databricks

Spark

Oracle/SQL Server

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.