Senior Software Engineer, Data Engineering at Relyance AI

, , United States -

Full Time

Start Date

Immediate

Expiry Date

22 Dec, 25

Salary

190000.0

Posted On

23 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, API Development, Data Pipelines, Microservices, Data Dashboards, Data Models, ETL Pipelines, Public Cloud, GCP, BigQuery, BigTable, Pub/Sub, Infrastructure as Code, Containerization, Data Governance, Testing Practices

Industry

Software Development

Description

Job Overview As Relyance AI’s Senior Software Engineer, you will be responsible for managing and enhancing our API services, developing robust data pipelines, maintaining microservices architecture, and building scalable systems. You will also play a key role in mentoring junior engineers and creating insightful data dashboards. In this role, you’ll have full ownership to design features from scratch and will be constructing the foundation on which our global data infrastructure will be built. As a Software Engineer, your role will include: Design, develop, and maintain API services using Python to ensure seamless integration and functionality. Create and optimize data pipelines to efficiently process and transform large datasets. Maintain and enhance our microservices architecture, ensuring reliability and scalability. Build and maintain data dashboards using tools like Retool and Tooljet to provide actionable insights to stakeholders. Design and implement scalable systems that can handle increasing data volumes and user demands. Develop systems that manage the entire lifecycle of data, ensuring data quality, security, and accessibility. This role could be a fit for you if you bring: A track record of delivering scalable and reliable service components and data ingestion and processing pipelines. Experience with Python. Ability to write clear, concise, and maintainable code considering design principles and applying sound testing practices. Experience in designing and evolving data models and ETL pipelines. Proficient with public cloud concepts and delivering working solutions on public cloud infrastructure, preferably GCP (BigQuery, BigTable, Pub/Sub). A deeply curious mindset, proactive about continuous improvement, and excitement for learning quickly in a fast-growth environment. Bonus points for: Experience with Infrastructure as Code tools, containerization and orchestration tools, and end-to-end ownership of data governance and management. Customer and mission-driven: motivated by bringing the most value as possible to users and shaping an industry from the ground up. Close attention to detail and a forward-thinking outlook. Excitement for a fast-paced, iterative, but heavily test-driven development environment. Working at Relyance AI At Relyance AI, we create an unreasonably hospitable and data-driven culture. We prioritize exceeding customer, and each other’s, expectations in every interaction. This means empowered team members solving problems proactively based on information, crafting personalized experiences, and radiating enthusiasm. Behind the scenes, trust and freedom allow team members to find creative solutions, while shared purpose and recognition fuel a spirit of greatness to truly wow customers and each other. We deconstruct failures to learn from them and take great pride in our successes; celebrating both. Relyance AI is proud to be an equal-opportunity employer. We celebrate representation and are committed to creating an inclusive environment for all employees. We are committed to fair and equitable compensation practices. We use data-driven pay practices with the goal of ensuring offerings are competitive to the market and our team members are being compensated correctly based on their roles, experience, and location. As such, the base salary pay range for this role is $160,000-190,000.

Responsibilities

You will be responsible for managing and enhancing API services, developing robust data pipelines, and maintaining microservices architecture. Additionally, you will mentor junior engineers and create insightful data dashboards.