Software Engineer I – Data

📋 Description

• Accountable for the setup and delivery of applications that are client-facing.

• Support the development of process improvements under the mentorship of the Sr. Software Engineer and the Manager of Technical Operations.

• Conduct daily maintenance of the operational health care application systems.

• Identify, troubleshoot, and resolve or escalate application issues.

• Oversee communication and manage client relationships in collaboration with members of the Infrastructure Service Support team.

• Prepare, transform, and organize client-specific data based on requirements obtained from the Engagement and Product teams.

• Design, produce, and sustain both baseline and customized messaging datasets utilized across IVA client demonstrations, frameworks, and productions.

• Process and integrate data received from various third-party vendors on behalf of clients.

• Apply business logic and transformation rules to generate datasets that are ready for client use.

• Represent the Data Operations / Data Engineering team in all ongoing client and product initiatives.

• Engage in daily data operations and development stand-up meetings to discuss data readiness, defects, transformations, and deployments.

• Adhere to established change management protocols for data updates, transformations, and environment promotions.

• Document and maintain data pipelines, transformation logic, and data standard operating procedures (SOPs).

• Create and update WIKI articles for reusable data processes, transformation patterns, and troubleshooting manuals.

• Collaborate with Application Development, Product, and Front-End teams to ensure data structures are optimized for user interface rendering and configurability.

• Assist in executing data deployments across multiple environments (Development, UAT, Production) using Octopus Deploy and controlled release protocols.

• Manage and validate data flows from Goliath servers to Core servers and into Salesforce through stored procedures and Boomi ETL workflows.

• Establish and maintain data configurations for new client implementations, including environment-specific data variations and vendor inputs.

• Aid in the development and upkeep of automated data validation checks and regression test datasets.

⛳️ Requirements

• A Bachelor’s degree in Technology, Engineering, Data Science, Computer Science, or a related field.

• 1–3 years of experience in a data-focused role such as Data Engineer, Data Analyst, Application Support (Data), or in ETL / Integration roles.

• Proficient understanding of SQL with experience in writing complex queries, stored procedures, and data validation logic.

• Practical experience in data transformation and processing using SQL, scripting, or backend technologies (.NET / C#).

• Familiarity with relational databases (SQL Server preferred).

• Knowledge of Agile development methodologies and sprint-based delivery.

• Experience in handling data across multiple environments (Dev, UAT, Prod).

• Operational familiarity with Azure DevOps, Team Foundation Server, Octopus Deploy, or similar tools.

• Basic knowledge of HTML, tags, and structured content to aid front-end rendering requirements.

• Exposure to continuous integration and deployment concepts, particularly for data pipelines.

• Experience with Salesforce or Veeva CRM data models is an advantage.

• Working knowledge of US Healthcare or Market Access data concepts is highly advantageous.

• Familiarity with Azure hosting components and data-related services.

• Capability to analyze and reconcile large datasets from various vendors and sources.

• Willingness to travel domestically and/or internationally, including overnight stays, up to 5% of the time.

🏝️ Benefits

• Opportunities for professional development.