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

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