Data Engineer # 26-15178

US Tech Solutions; Toronto; Hybrid; CAD 90,000 - 130,000; Full time

Job summary

US Tech Solutions in Toronto/Markham is seeking an experienced Data Scientist / Data Engineer to join a Financial Crime Risk Management data modernization initiative. You will design scalable data pipelines, perform data exploration and validation, and optimize SQL queries on Oracle and Azure platforms.

This hybrid role focuses on data quality, analytics, and governance, not on ML model development, and requires strong Python and SQL skills, 5+ years of experience, and ability to collaborate

Qualifications

• 5+ years of experience in Data Science, Data Engineering, Advanced Analytics, or related field.
• Expert-level proficiency in Python.
• Advanced SQL skills, including complex query development, optimization, and debugging.
• Experience with data exploration, large-scale datasets, and data pipelines.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Design, develop, and support scalable data engineering and analytics solutions.
• Perform data exploration, profiling, transformation, and validation on large datasets.
• Develop and optimize complex SQL queries for data extraction and automation.
• Build and support data pipelines for enterprise analytics and reporting.
• Conduct data quality assessments, reconciliation, and integrity checks.
• Apply statistical analysis to support customer segmentation and performance monitoring.
• Support data migration and modernization across Oracle and Azure environments.
• Prepare technical documentation to support governance and compliance.
• Collaborate with business, technology, analytics, and project teams to deliver data-driven solutions.

Skills

Python

SQL

Data Analysis

Data Pipelines

Data Quality

Communication

Independent work

Education

Bachelor's degree in CS/Statistics

Master's degree (preferred)

Tools

Azure

Oracle

SAS

Informatica

Tableau

Job description

Work Model: Hybrid (3 days onsite per week, 2 days remote)

Duration: 6 Months (Extension & Conversion Possible)

Additional location: Markham, ON

Role Overview

• We are seeking an experienced Data Scientist / Data Engineer to join a high-performing Financial Crime Risk Management team supporting a large-scale data modernization initiative. This role focuses on data engineering, advanced analytics, data quality, and transaction monitoring, helping to build and enhance enterprise data solutions on Oracle and Azure platforms.
• This is an excellent opportunity for professionals who enjoy working at the intersection of data engineering and analytics, solving complex data challenges, improving data quality, and supporting large-scale transformation initiatives. This role is not focused on machine learning model development.

Key Responsibilities

• Design, develop, and support scalable data engineering and analytics solutions.
• Perform data exploration, profiling, transformation, and validation on large datasets.
• Develop and optimize complex SQL queries for data extraction, analysis, and automation.
• Build and support data pipelines for enterprise analytics and reporting.
• Conduct data quality assessments, reconciliation, and integrity checks.
• Apply statistical analysis techniques to support customer segmentation, threshold setting, and performance monitoring.
• Support data migration and modernization initiatives across Oracle and Azure environments.
• Execute end-to-end quality control activities and identify data gaps or inconsistencies.
• Prepare technical documentation to support governance, audit, and compliance requirements.
• Collaborate with business, technology, analytics, and project teams to deliver data-driven solutions.
• Identify opportunities to improve processes through analytics and data insights.

Required Qualifications

• 5+ years of experience in Data Science, Data Engineering, Advanced Analytics, or a related field.
• Expert-level proficiency in Python.
• Advanced SQL skills, including complex query development, optimization, and debugging.
• Strong experience with data exploration, data analysis, and large-scale datasets.
• Experience performing data transformation, data stitching, and data validation.
• Experience building or supporting enterprise data pipelines.
• Strong understanding of statistical analysis and analytical methodologies.
• Experience working on data-driven or data-centric projects.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently while collaborating effectively with cross-functional teams.

Preferred Qualifications

• Experience within Banking or Financial Services.
• Exposure to AML, Financial Crime, Risk, or Compliance initiatives.
• Experience with data migration, cloud transformation, or modernization projects.
• Knowledge of Oracle and Azure data environments.
• Experience with SAS, Informatica, Tableau, or similar analytics tools.
• Master’s degree in computer science, Data Science, Statistics, Mathematics, or a related discipline (or equivalent professional experience).

What You'll Bring

• Strong analytical thinking and attention to detail.
• Ability to learn new technologies quickly and adapt to changing priorities.
• Experience working in large enterprise environments.
• Excellent stakeholder management and collaboration skills.
• A proactive mindset with a passion for solving complex data challenges and delivering high-quality solutions.

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com.

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

AI Statement:

By applying, you acknowledge that AI-assisted tools may be used during hiring.