Data Engineer # 26-15178

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.

Design and develop scalable data engineering and analytics solutions to support financial crime risk management and data modernization. Perform data exploration, pipeline construction, and quality assessments across Oracle and Azure platforms.

Requires over 5 years of experience in data engineering or science with expert-level proficiency in Python and advanced SQL. Experience with large-scale datasets and enterprise data pipelines is essential.

• Data analysisPreferred

Identified from the job description. Confirm important requirements above.

• Python
• SQL
• Data Engineering
• Data Analysis
• Data Pipelines
• Statistical Analysis
• Data Profiling
• Data Validation
• Oracle
• Azure
• Data Migration
• Data Quality Assessment
• Customer Segmentation
• Technical Documentation
• Stakeholder Management
• Financial Crime Risk Management

• Data & Analytics
• Technology
• Finance & Accounting
• Engineering
• Software

Minimum education

Master’s degree

Minimum experience

5+ years

Apply by

Aug 29, 2026

Posting language

English

Working hours

40 hours per week

Office presence

3 days per week

Seniority

Mid-Senior level

Application method

Direct apply is available