Senior Data Engineer

Farm Credit of Southern Colorado (FCSC) is seeking a Senior Data Engineer to join our team. This role will design and operate batch and streaming pipelines, develop reusable Python-based data processing components, and partner with analytics, application, architecture, and governance teams. This role will build reliable, secure, and scalable data products on Microsoft Azure.

• Design, build, test, deploy, and support data pipelines and data products across Azure environments.
• Develop production-quality Python for ingestion, transformation, validation, orchestration, automation, and operational tooling.
• Create and optimize batch and near-real-time processing using services such as Azure Data Factory, Azure Functions, and Snowflake, based on solution needs.
• Recommend, design and optimize Snowflake schemas, virtual warehouses, stages, file formats, streams, and tasks; develop ELT workloads using Python, SQL, and Snowflake where appropriate.
• Integrate data from APIs, files, relational databases, SaaS platforms.
  
  Disburses funds for loan actions

• Build automated unit, integration, regression, and data-quality tests; participate in code reviews and technical design reviews.
• Use Git-based source control and CI/CD pipelines to promote code and configuration through development, test, and production environments.

• Implement monitoring, logging, alerting, restartability, and runbooks; troubleshoot failures and perform root-cause analysis.
• Apply security-by-design practices, including managed identities, least-privilege access, secrets management, encryption, and appropriate handling of sensitive data.
• Tune data processing, storage, and compute for performance, reliability, and cost efficiency.
• Produce clear technical documentation, including architecture decisions, mappings, data contracts, support procedures, and deployment notes.
• Collaborate with business stakeholders, analysts, software engineers, platform teams, and governance partners to translate requirements into maintainable solutions
• Mentor, train and upskill other members of the team, share reusable patterns, and contribute to engineering standards and platform improvements.

• Bachelor’s degree in computer science, IT, engineering or related field
• 5 years of related experience as a Data Engineer in a banking or financial institution or an equivalent combination of education and experience
• Professional experience designing and supporting data pipelines or data platforms in a cloud environment.
• Hands-on experience with core Azure data services, such as Azure Data Factory, Snowflake, or function-based/serverless processing.
• Experience with REST APIs, JSON, Parquet, CSV, and common data integration patterns.
• Experience with Git, pull requests, automated testing, and CI/CD practices.
• Strong Python development skills, including modular design, packaging, dependency management, testing, exception handling, logging, and performance-aware processing.
• Strong SQL skills and practical knowledge of relational modeling, dimensional modeling, query optimization, and data warehousing concepts.
• Working knowledge of cloud identity, access control, secrets management, monitoring, and operational support.
• Ability to work effectively in a distributed, collaborative engineering environment.
• Ability to communicate technical decisions clearly and work effectively across engineering and business teams.
• Ability to participate in an on-call or production-support rotation as defined by the team.
• Ability to perform planned deployment or maintenance work outside standard business hours when required.

• Experience with Snowflake data warehouse design, including virtual…