5+ years of experience in software engineering focused on data systems or backend integrations.
Expert in SQL with proficiency in Postgres optimization.
Hands-on experience with ETL tools like Airbyte and Dagster.
Strong programming skills in Node.js or Python.
Familiarity with CI/CD pipelines and cloud environments, preferably GCP.
Experience with RPA tools such as UiPath or Automation Anywhere is a strong plus.
Clear communication skills and a collaborative mindset.
Responsibilities
Architect, build, and maintain ETL/ELT pipelines using frameworks like Airbyte.
Integrate various APIs and RPA workflows for seamless data handling.
Optimize Postgres queries and schemas for high performance.
Implement monitoring and alerting mechanisms for data quality.
Collaborate with cross-functional teams to deliver reliable integrations.
Document integration patterns and contribute to data platform architecture evolution.
Provide technical leadership and mentorship for other engineers.
Benefits
Competitive salary and equity offerings.
Comprehensive health and wellness benefits package.
Flexible PTO and generous parental leave policy.
Performance-based incentives for contributions.
Subscription to Wellhub for access to fitness facilities and team workouts.
Opportunity to build and scale a business rapidly while aligning with core values.
Flexible work environment prioritizing mental health and progress over sheer activity.
Full Job Description
About the Role
We're looking for a Senior Software Engineer focusing on Data to join our team and build the pipelines and systems that power Arya's workforce platform. You'll work with modern data and automation tools to design and implement high-performance, scalable integrations between our platform and customer systems. This includes integrating with APIs, file-based systems, and RPA (Robotic Process Automation) workflows to handle scenarios where APIs aren't available or data is locked in legacy systems. As a senior member of the engineering team, you'll lead data projects end-to-end, ensuring our data is accurate, timely, and reliable-driving the experiences our customers depend on.
What You'll Do
Architect, build, and maintain ETL/ELT pipelines using Airbyte, Dagster, or similar frameworks.
Integrate with REST, GraphQL, and file-based APIs, as well as RPA workflows.
Optimize Postgres queries and schemas for performance at scale.
Implement monitoring and alerting to ensure data quality and availability.
Collaborate with Product, DevOps, and QA to deliver reliable integrations quickly.
Document integration patterns and help evolve our data platform architecture.
Provide technical leadership and mentorship to other engineers working on data systems.
What We're Looking For
5+ years of experience in software engineering with a focus on data systems or backend integrations.
Expert in SQL and proficient with Postgres optimization.
Hands-on experience with Airbyte, Dagster, or similar tools.
Strong programming skills in Node.js or Python.
Familiarity with CI/CD pipelines and cloud environments (GCP preferred).
Experience with RPA tools (e.g., UiPath, Automation Anywhere, Blue Prism) a strong plus.
Clear communication skills and a collaborative mindset.
Nice to Have
Experience with streaming data systems (Kafka, Pub/Sub).
Exposure to data governance or compliance in regulated industries.
Contributions to open-source data or integration tooling.
What to Expect in the First 90 Days
By Day 15 - Onboarding & Environment Setup
Fully onboarded into Arya's development environment and tooling.
Access to and understanding of existing Airbyte/Dagster pipelines, Postgres schemas, and RPA workflows.
Shadow a senior team member on one live deployment.
Ship at least 1 minor bug fix or small improvement to an existing integration.
Review integration documentation and begin drafting notes on areas for improvement.
By Day 30 - Initial Contributions & Familiarity
Ship your first net-new integration (API, file-based, or RPA) into staging or production.
Implement basic monitoring or alerting improvements for an existing pipeline.
Partner with Product to map integration requirements for an upcoming customer.
Deliver a performance analysis on at least one critical data flow and propose optimization.
Begin contributing to code reviews for data-related pull requests.
By Day 60 - Ownership of Integration Scope
Fully own a subset of data integrations from development through monitoring.
Ship at least 1 high-impact performance improvement (e.g., reduced latency, improved throughput).
Deploy an RPA-based integration into production for a customer with limited API access.
Document integration processes and edge cases for assigned systems.
Participate in customer onboarding calls to understand integration pain points.
By Day 90 - Scaling & Strategic Impact
Design and implement an automation to streamline integration deployment or monitoring.
Lead a cross-functional initiative to improve data quality or reduce integration failures by 25%+.
Propose and implement schema or architecture changes to support future integrations at scale.
Mentor a junior engineer or new hire on Arya's data engineering stack.
Present a "State of Data Systems" review to the engineering team, outlining current health, risks, and opportunities.
WHAT WE OFFER
Arya is committed to being transformative to the careers of those who share our values, and are looking to build a generational business. We offer:
The Basics:
Competitive salary + equity
Comprehensive health and wellness benefits
Flexible PTO and generous parental leave
Performance-based incentives
Wellhub subscription with access to premium fitness facilities, team workouts
The Multipliers:
Be part of a company that treats its values as its biggest priority
Learn more about building and scaling a business in months than others will in years
Have ownership, influence and impact that runs far and wide
Work flexibly, with a focus on progress over activity
Never sacrifice your mental health- while we work hard, we're committed to avoiding burnout at all costs
