Senior Software Engineer focusing on data engineering and machine learning for Workday. Involves data ingestion, governance, and collaboration using modern technologies.
About the role
- Junior Data Engineer supporting design and maintenance of data pipelines at Innovation Federal Credit Union. Collaborating with teams to ensure data accuracy and operational intelligence.
Responsibilities
- Collaborate with data engineers, analysts, and business stakeholders to support data initiatives
- Contribute to a positive, inclusive team environment aligned with Innovation’s values
- Actively participate in learning, mentoring, and professional development opportunities
- Communicate effectively with both technical and non-technical colleagues
- Support the delivery of data solutions that enhance member experience and service delivery
- Ensure data supports accurate, timely insights that benefit members and internal teams alike
- Understand how data products ultimately support member outcomes and organizational goals
- Assist in building, maintaining, and optimizing data pipelines and integrations
- Support data ingestion, transformation, and validation processes
- Contribute to the development of analytics-ready datasets and semantic models
- Leverage modern data and cloud platforms to improve efficiency and scalability
- Support accurate and reliable reporting through high-quality data practices
- Assist in automating data processes to improve efficiency and reduce manual effort
- Contribute to analytics and insights that support sound financial and operational decisions
- Maintain documentation to ensure sustainability and knowledge sharing
- Follow data governance, privacy, and security standards
- Support data accuracy, lineage, and consistency across systems
- Identify and escalate data quality issues or risks in a timely manner
- Contribute to responsible handling of sensitive and confidential information
Requirements
- Completion of a post-secondary diploma or degree in Computer Science, Data Analytics, Information Systems, or a related field
- 0–2 years of experience in a data, analytics, or technical role (co-op or internship experience considered an asset)
- Foundational knowledge of data concepts including databases, ETL/ELT processes, and data modeling
- Experience or exposure to SQL and relational databases
- Familiarity with data visualization and analytics tools (e.g., Power BI or similar)
- Strong problem-solving and critical-thinking skills
- High attention to detail with an appreciation for data quality and integrity
- Comfortable learning and working with new technologies in a fast-changing environment
Benefits
- 7% employer-matched pension
- Extended health and wellness benefits
- Employee and family assistance program
- Preferred staff loan rates
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