Senior Developer, Data Engineering
You will advance the organization's data modernization strategy by supporting the adoption of the AWS-based data platform through coaching, training, and mentorship. Additionally, you will contribute to the development and maintenance of data infrastructure, including AWS resource provisioning, pipeline optimization, and code automation.
- Hybrid
- Regina, SK
- Posted Aug 12, 2026
- Apply by Aug 31, 2026
- 1 position
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Job summary
Closing Date (MM/DD/YYYY): 08/30/2026 Worker Type: Permanent Language(s) Required: English Term Duration (in months): Salary Range (plus eligible to receive a performance based incentive, applicable to position) : $94,620 - $128,020 Why FCC? At FCC, we’re proud to be 100% invested in Canadian agriculture and food. As a federal Crown corporation, we provide financing, knowledge resources and business management software to over 103,000 customers nationwide. Here’s what you can expect when you join our team: Competitive total rewards packages: market-aligned and performance-based salary and incentive programs, flexible and comprehensive group benefit and savings plans, and well-being support through benefits and wellness programs Purpose-driven work: We build strong relationships, share knowledge and support the people who feed the world Growth: Learning and development opportunities to help you thrive Hybrid work options ~ How you'll make an impact As a Senior Developer, Data Engineering, you'll play a key role in advancing FCC's data modernization strategy by helping teams across the organization adopt and leverage FCC's modern AWS-based data platform. Working within a collaborative Adoption and Support team, you'll combine hands-on data engineering expertise with a passion for learning, coaching and knowledge sharing. A significant portion of this role focuses on enabling the broader data community—including data scientists, analysts, business intelligence professionals and other data consumers—to successfully adopt new tools, technologies, databases and ways of working. You'll design and deliver engaging learning experiences, create practical training materials, provide ongoing mentorship and support, and act as a trusted technical resource for teams adopting FCC's modern data platform. Through training, coaching and hands-on guidance, you'll help build data capabilities across the organization and accelerate the success of FCC's data modernization initiatives. In addition to enablement and mentorship activities, you'll contribute to the development, enhancement and ongoing support of FCC's data platform by creating and maintaining AWS resources, onboarding new data sources, provisioning access, improving data pipelines and supporting the delivery of scalable data solutions. If you're passionate about data engineering, enjoy helping others learn and succeed, and thrive in a collaborative environment where technology and people development go hand in hand, you'll make a meaningful impact in this role. What you’ll do Writing and maintaining technical documentation Designing and creating learning modules to enable adoption of new data technology and platform Deliver learning sessions to the data community on new skills, tools, technologies and frameworks Working on continuous improvement of learning modules and delivery methods for efficiency Provide post-training support to new consumer groups Mentor and coach users adopting FCC's modern data platform and AWS technologies Act as a technical resource and trusted advisor for data consumers transitioning to new tools and platforms Participate in design sessions and solution implementation Analyze and develop new code, including automation, integration and unit tests Implement code fixes and support user testing Actively contribute to code reviews, providing constructive feedback to team members Ensure technical solutions and system integrations are developed and maintained in the most efficient and effective manner Create CDK using lake formation to build AWS resources and configure infrastructures Manage version control and deployments using GitHub and CI/CD Managing and granting access to AWS services Analyzing and addressing issues with glue pipeline orchestration and execution What you’ll bring to the team Required Qualifications A bachelor’s degree in computer science or software engineering Minimum two years of experience in software engineering practices (or an equivalent combination of education and experience) Experience designing and conducting training sessions for audiences with varying levels of technical expertise Experience with data engineering tools, platforms and approaches Experience building infrastructure as code (AWS CloudFormation) Preferred Qualifications Functional programming experience Experience with data modelling, data warehouse building and creating data access layers Experience working with Amazon Web Services (AWS) technologies and concepts: Data Pipelines, Spark, Glue, Redshift, SageMaker, QuickSight, DMS and IAM, with the ability to guide and support new adopters Ability to map legacy tools and technologies to modern AWS solutions Experience with Informatica or any ETL tool Experience with data observability and tools such as DataHub Experience with Data Vault 2.0 Experience mentoring, coaching or supporting technical users in the adoption of new tools, technologies and platforms Experience designing learning materials, technical training programs or enablement resources Experience facilitating workshops, knowledge-sharing sessions or communities of practice Strong ability to explain technical concepts to audiences with varying levels of technical expertise Nice-to-have qualifications that are considered an asset rather than a requirement. You belong here At FCC, we’re committed to creating an inclusive, equitable and accessible workplace – one that reflects the communities where we live, work and play. Our team is made stronger through diversity, and we’re dedicated to building a workforce that brings together a range of backgrounds, abilities and perspectives. We encourage qualified applicants to apply, including members of these four employment equity groups: • Indigenous Peoples • Members of visible minority groups • Persons with disabilities • Women Accessibility and accommodations To support an inclusive and accessible candidate experience, we encourage anyone needing an adjustment or accommodation during any stage of the recruitment process to email us at: [email protected]. An HR partner will respond and work with applicants who request a reasonable accommodation. Information received in relation to accommodation requests will not impact hiring decisions.
What you’ll do
You will advance the organization's data modernization strategy by supporting the adoption of the AWS-based data platform through coaching, training, and mentorship. Additionally, you will contribute to the development and maintenance of data infrastructure, including AWS resource provisioning, pipeline optimization, and code automation.
Requirements
Candidates must hold a bachelor's degree in computer science or software engineering and possess at least two years of experience in software engineering practices. Proficiency in data engineering tools, infrastructure as code, and the ability to conduct technical training sessions are required.
Benefits
• Performance-based salary and incentive programs • Flexible group benefit plans • Savings plans • Well-being support • Wellness programs
Listed skills
- GitHubPreferred
- CI/CDPreferred
- Amazon Web ServicesPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Data Engineering
- AWS
- Data Pipelines
- Mentorship
- Technical Documentation
- CloudFormation
- Spark
- Glue
- Redshift
- SageMaker
- QuickSight
- CI/CD
- GitHub
- Data Modeling
- ETL
- Data Observability
- Employment Equity
- AWS SageMaker
- DataHub (Software)
- Informatica
- AWS Cloud Development Kit (CDK)
- Observability
- Constructive Feedback
- Workshop Facilitation
- AWS CloudFormation
- Infrastructure as Code (IaC)
- Data Access
- Agriculture
- Amazon Web Services
- Automation
- Unit Testing
- Business Intelligence
- Management
- Version Control
- Code Review
- Computer Science
- Continuous Improvement Process
- Training And Development
- Extract Transform Load (ETL)
- Data Vaults
- Data Warehousing
- English Language
- Github
- Scalability
- Coaching
- Software Engineering
- Technical Training
- Usability Testing
- Functional Programming
- Amazon Redshift
Job areas
- Data & Analytics
- Technology
- Software
- Engineering
- Agriculture
- Manager/Data Engineer
- Data Engineer
- Software Developers
- Database Administrators
Additional details
- Minimum education
- Bachelor’s degree
- Minimum experience
- 2+ years
- Apply by
- Aug 31, 2026
- Posting language
- English
- Working hours
- 40 hours per week
