Data Engineer

Data Engineer I – Inspira Financial

We are seeking a talented entry‑level Data Engineer to build scalable data platform solutions within a cross‑functional, Dev Ops‑based Agile team. The role focuses on developing, deploying, and maintaining data pipelines and ensuring the highest standards of quality, performance, and security.

• Collaborate with Users, Engineers, Designers, and Product Managers to ideate and deliver cutting‑edge software solutions.
• Apply Test‑First and Acceptance‑Criteria‑Driven approaches to deliver high‑quality software.
• Design, develop, and maintain data pipelines using industry best practices and standards.
• Ensure solutions meet non‑functional requirements such as security, performance, maintainability, scalability, usability, and reliability.
• Develop and maintain basic ETL and ELT pipelines in Talend.
• Write and optimize SQL queries for analysis, extraction, and manipulation in Snowflake.
• Clean, validate, and transform raw data to ensure quality and integrity.
• Learn and apply techniques in evolving technologies such as Generative and Agentic AI.
• Assist with data modeling and database management (relational and No
  
  SQL databases).
• Participate in on‑call rotation to troubleshoot production issues.
• Document data workflows and best practices.
• Perform performance tuning and monitoring of data processes.
• Continuously update skills on new development tools, programming techniques, and computing equipment.

• 0–2 years of experience in Data Engineering.
• Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Statistics, Data Science, or related discipline.
• Microsoft Certified Azure Data Fundamentals (preferred).
• Snowflake Snow Pro Certification (preferred).

• Strong programming skills in SQL/T‑SQL, Python, and data structures/algorithms.
• Proficiency with relational and No
  
  SQL databases (SQL Server, Mongo
  
  DB). Design and create database tables, views, functions, and stored procedures.
• Experience designing OLAP databases for internal and external consumers.
• Design and implement resilient, performant data pipelines and transformation processes.
• Design and implement hybrid cloud data services (Azure, Snowflake).
• Experience with cloud pipelines, audit, quality, and security controls.
• Support enterprise data warehouse strategy and governance initiatives.
• Cross‑functional collaboration with marketing, operations, and other business units.
• Tools Azure MSSQL, Talend, SSIS, Active Batch, Tidal, Airflow, ER/Studio, Erwin.
• Agile/Scaled Agile methodology (Scrum, Kanban). Unit, integration, and debugging skills.
• Secure coding practices; compliance with GDPR, HIPAA, PCI‑DSS, ISO 27001.
• System design, architecture, and scalable software principles.
• Strong analytical, problem‑solving, and communication skills.
• Adaptability, continuous learning, and proactive initiative.
• High‑availability environment experience (preferred).
• Knowledge of ITIL/ITSM foundational practices (preferred).

$68,800 – $79,600 per year

Compensation varies by location, skills, and experience and may include incentive and bonus opportunities. Benefits include healthcare, 401(k) plan, company holidays, paid time off, parental leave, and an employee assistance program.

• Seniority level:
  Entry level
• Employment type:
  
  Full‑time
• Job function:
  Information Technology