Remote Senior Data Engineering Analyst

Description:

• Servus Credit Union is seeking a Senior Data Engineering Analyst in the Data and Infrastructure Department.
• This is a full-time, permanent, remote position.
• The role involves improving the organization’s data structures, movement, scalability, and availability.
• The analyst will collaborate with Data Technology, Governance, and Data Science teams to modernize data architecture.
• Responsibilities include designing and constructing data pipelines, managing data transformations, and optimizing data storage costs.
• The analyst will support business stakeholders, data analysts, cloud infrastructure teams, and data scientists on various data initiatives.
• Key accountabilities include delivering high-quality data solutions, developing enterprise-scale data pipelines, and ensuring data quality and compliance.
• The position requires monitoring data protection controls and leading R&D efforts to evaluate new technologies.
• The analyst will also build analytics tools and lead data engineering projects while aligning initiatives with strategic direction.

Requirements:

• A Bachelor's degree in computer science, Data Science, Information Systems, or a related field is required.
• Candidates must have 10 years of hands-on experience in cloud-based data engineering, preferably in Azure environments.
• A deep understanding of Databricks, including data ingestion, transformation, and performance tuning is necessary.
• Proficiency in SQL and Python is required, along with experience in building scalable ETL/ELT solutions using Azure Data Factory, Synapse Pipelines, or Databricks DLT.
• Experience with dbt Cloud as a transformation framework is considered a strong asset.
• Candidates should have 5+ years of data modeling experience, including schema design and dimensional modeling.
• Solid experience with CI/CD, Git-based development, and monitoring pipelines in production environments is essential.
• Familiarity with Power BI, machine learning workflows, and operationalizing models is preferred.
• A strong understanding of data science, advanced analytics, and agentic AI concepts is required.
• Exposure to data governance, data security, and regulatory compliance frameworks is necessary.
• Excellent communication skills are essential for leading cross-functional initiatives and collaborating with technical and business teams.
• A demonstrated passion for innovation, standardization, and driving efficiency through data is important.

Benefits:

• Servus offers outstanding benefits including health and wellness programs, vacation, and retirement savings programs.
• Employees have access to training and development opportunities to enhance their skills.
• There is potential for career advancement within the organization.
• Flexible work options are available to support work-life balance.
• Competitive compensation is provided, including performance-based incentive pay.
• Employees can engage in meaningful work that aligns with individual and corporate goals.
• Opportunities to participate in an employee volunteer program are available, allowing employees to give back to the community.
• Employees are also members of the credit union, enjoying benefits such as profit sharing and voting rights.