Software Engineer I – Data

Role Overview

• Responsible for the configuration and delivery of client-facing applications.
• Assist with support for the development of process enhancements under the guidance of the Sr. Software Engineer and the Manager, Technical Operations.
• Day-to-day maintenance of the health care application systems in operation.
• Identify and troubleshoot application issues and issues resolution or escalation.
• Manage communication and client relationship management in partnership with Infrastructure Service Support team members.
• Prepare, transform, and structure client‑specific data according to requirements gathered by Engagement and Product teams.
• Design, generate, and maintain baseline and customised messaging datasets used across IVA client demos, frameworks, and productions.
• Process and integrate data received from multiple third‑party vendors per client.
• Apply business logic and transformation rules to produce client‑ready datasets.
• Represent the Data Operations / Data Engineering function on all active client and product initiatives.
• Participate in daily data operations and development stand‑up meetings to review data readiness, defects, transformations, and deployments.
• Follow established change‑management procedures for data updates, transformations, and environment promotions.
• Document and maintain data pipelines, transformation logic, and data standard operating procedures (SOPs).
• Create and maintain WIKI articles for reusable data processes, transformation patterns, and troubleshooting guides.
• Coordinate with Application Development, Product, and Front‑End teams to ensure data structures are optimized for UI rendering and configurability.
• Support and execute data deployments across multiple environments (Development, UAT, Production) using Octopus Deploy and controlled release processes.
• Manage and validate data flows from Goliath servers to Core servers and into Salesforce via stored procedures and Boomi ETL workflows.
• Set up and maintain data configurations for new client implementations, including environment‑specific data variations and vendor inputs.
• Assist in developing and maintaining automated data validation checks and regression test datasets.

Requirements

• Bachelor’s degree in Technology, Engineering, Data Science, Computer Science, or equivalent discipline.
• 1–3 years of experience in a data‑centric role such as Data Engineer, Data Analyst, Application Support (Data), or ETL / Integration role.
• Strong working knowledge of SQL and experience writing complex queries, stored procedures, and data validation logic.
• Hands‑on experience with data transformation and processing using SQL, scripting, or backend technologies (.NET / C#).
• Experience working with relational databases (SQL Server preferred).
• Understanding of Agile development methodologies and sprint‑based delivery.
• Experience with multi‑environment data handling (Dev, UAT, Prod).
• Operational knowledge of Azure DevOps, Team Foundation Server, Octopus Deploy, or similar tools.
• Basic understanding of HTML, tags, and structured content to support front‑end rendering requirements.
• Exposure to continuous integration and deployment concepts, especially for data pipelines.
• Experience with Salesforce or Veeva CRM data models is a plus.
• Working knowledge of US Healthcare or Market Access data concepts is a strong advantage.
• Familiarity with Azure hosting components and data‑related services.
• Ability to analyse and reconcile large datasets from multiple vendors and sources.
• May require domestic and/or international travel, including overnight stays, up to 5%.

Tech Stack

• Azure
• ETL
• SQL
• TFS
• .NET

Benefits

• Professional development opportunities