Position Summary
The Data & Software Engineer is responsible not only for building scalable data pipelines and backend services but also for shaping the architectural direction of integrations, data flows, and internal applications. The role combines strong hands-on engineering with architectural leadership across data models, APIs, cloud components, and enterprise integration patterns. This engineer will meaningfully influence the design of new systems, modernization of legacy components, and the technical standards used across the technical team.
Major Responsibilities
Data Engineering & Integration
- Design and implement robust, scalable ETL/ELT pipelines (Snowflake, DBT, Spark, Airflow).
- Define data models, schemas, and mapping specifications for structured/unstructured datasets.
- Architect and build integration solutions using REST/SOAP APIs, queues, or cloud-native services.
- Establish best practices for data quality, lineage, monitoring, and observability.
Backend Software Engineering
- Build backend services, automation tools, and microservices in Python, Java, C# or any other backend language.
- Apply software design principles (SOLID, KISS).
- Maintain and evolve existing services through CI/CD, testing, and refactoring for scalability.
- Implement secure coding practices, API authentication, and integration security standards.
Architecture & Technical Strategy
- Lead the design of system architectures for integrations and internal applications.
- Produce architecture diagrams, data-flow maps, and interface specifications.
- Evaluate and recommend tools, integration patterns, and cloud technologies.
- Ensure alignment with organization-wide architectural standards.
- Provide guidance on distributed systems, data modelling, storage patterns, and message flows.
- Mentor engineers on design patterns, code structure, and architectural thinking.
Personal Requirements
Competencies
- Architectural thinking: designs scalable, decoupled, maintainable systems.
- Strong analytical skills and problem-solving under complexity.
- Clear communication of technical concepts to diverse stakeholders.
- Ownership mindset with strong attention to code quality and reliability.
- Ability to mentor others and elevate engineering standards.
Qualifications & Experience
- Bachelor's or Master's in Computer Science, Software Engineering, or related field.
- 710+ years of combined experience in software and/or data engineering.
- Proficiency in Python, Java, and C#, with experience building APIs, backend services, and data pipelines.
- Strong SQL skills and familiarity with modern CI/CD and Git-based workflows.
- Ability to work with business stakeholders to translate requirements into technical solutions.
- Strong communication skills and experience collaborating across teams.
- Exposure to cloud technologies (AWS/Azure) and common integration patterns.
- Experience with Higher-Ed systems (SIS, LMS) or CRM platforms is a big plus.
- Familiarity with integration middleware or data governance is beneficial.
