Data Engineer

Financial Transactions and Reports Analysis Centre of Canada Selection process number CFC-SMART-DATA-2026-01 Salary $88,955 to $110,940 - GROUP and LEVEL: FC-05 Duties The Data Engineer supports the development, implementation, and maintenance of data pipelines and data platforms that enable access to reliable, well‑structured data in support of FINTRAC’s operational and analytical needs. Working under the direction of senior data engineers or a manager, the position contributes to the delivery and ongoing operation of data solutions that support business intelligence, reporting, and data analytics initiatives. The role focuses on applying established data engineering practices to assist with data integration, automation, and transformation activities.

The Data Engineer supports monitoring of data quality and performance, contributes to technical documentation, and participates in continuous improvement efforts to enhance the reliability and effectiveness of data services. In collaboration with technical teams and business stakeholders, the position helps translate data requirements into practical data solutions while developing skills and experience within a secure, governed, and performance‑focused enterprise data environment. Work environment At FINTRAC, we help to combat money‑laundering; terrorist activity financing and threats to the security of Canada.

As a separate employer within the Government of Canada (GoC), we embrace flexibility, value talent, innovation, and diversity, and foster an excellence driven culture grounded in respect, wellness, inclusion, and collaboration. FINTRAC has its own unique classification system and occupational group (FC), with relevant equivalencies noted above. As a FINTRAC employee, you benefit from: Competitive salary Eligibility for performance pay at all classification levels within the organization Comprehensive benefits package including Health and Dental Plan, Disability benefits, Life insurance Minimum of three (3) weeks of vacation leave per year.

In addition to vacation, FINTRAC employees receive two (2) personal days, and five (5) days of Family Related Leave with Pay every year, among other various types of paid and unpaid leaves Flexible work arrangements, as part of our Hybrid Workplace Broad range of learning opportunities to encourage employee innovation Strong support for employee wellness and mental health including access to the confidential employee assistance program (where operationally feasible) Conditions of employment Top Secret security clearance – You must be a Canadian Citizen and eligible for a Top Secret security clearance to FINTRAC's standards. FINTRAC’s process includes a suitability interview, a credit and financial check, fingerprinting, a background investigation covering at least the last 10 years, as well as other assessments necessary to determine a candidate’s suitability for work at FINTRAC. Candidates must be able to produce sufficient records of any period of time spent outside of Canada and may be subject to further assessment.

As needed, candidates may be required to submit security documentation and may be subject to security investigations at any phase of the selection process. Suitability is an on‑going condition of employment at FINTRAC and must be maintained. For more information regarding FINTRAC's Security and Suitability requirements, see https://www.fintrac-canafe.gc.ca/emplo/req-eng.

Operational Requirements Willingness and ability to work overtime as and when required, with short notice. You need (essential for the job) Education ED1 – Graduation from a two‑year program of study from a recognized post‑secondary institution (e.g., college or university) with acceptable specialization in: Computer science, Information technology, Information management, Or another specialty relevant to the position to be staffed. Experience E1 – Experience supporting the development and maintenance of data pipelines or data integration workflows in a production environment under established standards.

E2 – Experience working with structured and unstructured data sources (e.g., relational databases, data warehouses, data lakes) to support reporting or analytics needs. E3 – Experience writing or maintaining scripts for data extraction, transformation, and loading (ETL) using tools or languages such as SQL and/or Python. E4 – Experience collaborating with technical teams and/or business stakeholders to understand data requirements and contribute to data solutions.

E5 – Experience contributing to documentation related to data processes, data structures, or technical workflows. Knowledge (Applied / assessed at a later date) K1 – Knowledge of basic data engineering concepts, including data pipelines, ETL processes, and data integration principles. K2 – Knowledge of structured data concepts, including relational databases and data structures used to support reporting and analytics.

K3 – Knowledge of data quality considerations such as validation, consistency, and accuracy. K4 – Knowledge of secure data handling practices and awareness of privacy and information management requirements. Abilities A1 – Ability to communicate effectively in writing and orally.

A2 – Ability to explain technical information clearly to both technical and non‑technical audiences. A3 – Ability to follow established standards, procedures, and governance requirements when working with data. Leadership Competencies LC1 – Engagement (Working effectively with people, organizations and partners) LC2 – Values and Ethics (Serving through integrity and respect) LC3 – Excellence through results (Delivering results through own work, relationships and responsibilities) LC4 – Strategic Thinking (Innovating through analysis and ideas) Additional Assets Assets (May be applied / assessed at a later date) AED1 – Experience working in a cloud, hybrid, or enterprise data environment.

AED2 – Exposure to CI/CD practices, version control tools, or automated testing for data solutions. AED3 – Experience supporting the development of business intelligence dashboards, reports, or other analytical products. AED4 – Experience with data governance concepts such as metadata management, data classification schemes, or records management practices.

AED5 – Two (2) or more years of experience supporting the development and maintenance of data pipelines or data integration workflows in a production environment under established standards. Equity, diversity and inclusion The Public Service of Canada is committed to building a skilled and diverse workforce that reflects the population it serves. We promote employment equity and encourage you to self‑declare if you belong to one of the designated employment equity groups when you apply.

Learn more about diversity and inclusion in the public service. #J-18808-Ljbffr