Central 1 is looking for a Data Engineer to join our team on a 6-month term basis. In this role, you’ll play an important part in supporting our evolving data needs and helping shape how we use Microsoft Fabric and modern cloud-based data solutions across the organization. As a Data Engineer, you’ll be a key Microsoft Fabric subject matter expert, designing, building, and optimizing secure, reliable, and compliant data pipelines and solutions that turn data into actionable insights. You’ll work closely with product owners, data teams, financial analysts, and IT partners to create scalable data platforms that support smarter decision-making, enhance member experiences, and help Central 1 continue delivering exceptional financial services.
Design, develop, and maintain data pipelines using Microsoft Fabric and Azure Data Factory (ADF), enabling scalable, efficient, and reliable data ingestion, transformation, and orchestration across the data platform
Ensure data security and compliance by implementing best practices such as role-based access control (RBAC), encryption (at rest and in transit), and secure credential management (e.g., Azure Key Vault), while adhering to organizational policies and regulatory requirements
Collaborate with data governance stakeholders to enforce data quality standards, lineage tracking, and metadata management within the Azure ecosystem.
Design and implement monitoring solutions using Azure-native services (e.g., Azure Monitor, Log Analytics, etc.) to ensure platform reliability, performance visibility, and proactive issue detection
Deliver data solutions in alignment with approved architecture, adhering to established design standards, governance frameworks, and the prescribed Azure technology stack to ensure consistency, scalability, and maintainability
Collaborate cross-functionally with Data Architects, Business Stakeholders, and data teams to translate business requirements into robust technical solutions, providing informed input into design decisions and best practices
Develop, configure, and maintain CI/CD pipelines using Azure DevOps to enable efficient, repeatable, and automated deployment of data solutions across all environments
Produce and maintain comprehensive documentation in Confluence, ensuring solutions, processes, and configurations are clearly documented to support ongoing operations and knowledge sharing
Ensure adherence to ITIL-based processes for incident and change management, using tools such as ServiceNow to triage, track, and resolve incidents in a timely and structured manner
Proactively drive operational excellence by identifying recurring issues, implementing preventative measures, and optimizing workflows to reduce system failures and improve platform stability
Conduct peer code reviews through pull requests to ensure code quality, consistency, adherence to standards, and knowledge sharing across the team
Develop, maintain, and optimize Power BI solutions, including dashboards and reports, efficient data models, and DAX measures to deliver actionable business insights
Deliver against project commitments by contributing to the design, development, and implementation of data engineering solutions, ensuring alignment with timelines, quality standards, and business objectives
Perform additional duties as required to deliver exceptional service and support the achievement of Central’s business objectives
Will be required to participate in 24x7 on call responsibilities
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
4+ years of experience in data engineering roles, with hands-on experience in Azure cloud platforms.
Strong proficiency in Azure Data Factory (ADF), Microsoft Fabric, T-SQL, and Azure Storage services.
Proficiency in SQL and Python for developing data transformation and processing workflows.
Experience designing and building data lakes and data warehouses, ideally within payments or financial services environments.
Strong understanding of ETL/ELT concepts, data pipeline design, and orchestration patterns.
Experience applying DevOps practices to data solutions, including CI/CD implementation using Azure DevOps, with a focus on automation and deployment efficiency.
Experience integrating financial systems and handling sensitive data (e.g., PII) in compliance with regulatory and security standards.
Proficiency in Power BI, including Power BI Desktop, Service, and Gateway.
Strong expertise in DAX, Power Query (M language), and data modeling techniques.
Experience working with relational databases (e.g., SQL Server, Azure SQL) and optimizing query performance.
Proven ability to translate business requirements into clear technical specifications and scalable data solutions.
Solid understanding of IT operations, support processes, and enterprise environments.
Well-developed analytical, problem-solving, organizational, and time management skills.
Experience with collaboration and delivery tools such as Jira, Confluence, and Azure DevOps.
Strong communication skills, with the ability to effectively engage both technical and non-technical stakeholders, manage priorities, and adapt to changing business needs.
Microsoft Certified: Azure Data Engineer Associate, Microsoft Certified: Fabric Data Engineer Associate, or equivalent certifications.
Microsoft Certified: Power BI Data Analyst Associate, Microsoft Certified: Fabric Analytics Engineer Associate, or equivalent certifications.
Experience working with data transformation frameworks such as dbt.
Experience integrating Power BI with other Microsoft products (e.g., Teams, SharePoint) to enable broader data accessibility and collaboration.
Familiarity with Agile methodologies and delivery tools (e.g., Jira, Azure DevOps).
Previous experience within financial services environments, such as credit unions, banks, or related institutions.
Good understanding of ITIL-based processes, including Incident, Problem, and Change Management.
