Sr. Software Engineer - Data Query

Overview

Senior engineer building scalable data query pipelines and access layer for SaaS analytics.

Key Responsibilities

• data access
• high concurrency
• pipeline testing
• code refactoring
• agile delivery
• customer research

Tasks

-Identify gaps, deficiencies and inefficiencies in the system. Propose and implement solutions. -Research and determine key architecture and design decisions to build a scalable, robust, yet simple data access layer - this will involve some combination of leveraging our existing technology, refactoring existing systems, including off the shelf systems, or starting from scratch when it makes sense. -Design and implement systems responsible for high concurrency access to large data sets -You care about the long-term maintainability of the codebase and advocate for refactoring and code cleanliness. -Build a deep understanding of our data structure and systems - enabling you and your team to build on top of and modify the existing architecture. -Work in a truly agile fashion to turn a massive, unruly problem into thinly sliced deliverables and execute quickly against them while limiting work in progress. -Together with your team, you ensure the data flowing through our data pipelines is tested with appropriate unit and integration tests to ensure the correct data makes it to our customers. -Hold a high bar of engineering excellence and always look for ways to raise it. Adopt our engineering best practices, provide and receive in-depth code reviews, and participate in healthy debate as a team. Evangelize your own expertise and experience among your teammates and the rest of the organization. -Participate in customer research/discovery with Product to understand current problems, needs, and estimate technical feasibility of various potential solutions.

Requirements

• full stack
• sql
• cloud
• data pipelines
• rest apis
• agile

What You Bring

-You can identify and resolve code-smells through sensible refactoring. -Experience working on platform teams or building platform services, whose customers are other internal teams. -Proven experience working across all levels of the development stack. -Strong familiarity with Agile software development processes: Scrum or Kanban -Strong SQL proficiency with ability to suggest optimization for query performance and cost efficiency -Familiarity with core architecture principles of at scale systems -5+ years of experience working in software engineering teams -Comfortable working with remote team members -Ability to establish strong working relationships with peers across other platform development teams -Ability to think pragmatically and effectively balance business outcomes with technical goals -Familiarity with public cloud, such as AWS, GCP, Azure -Experience building data pipelines at a company with large data sets especially with multi-tenant data in an agile SaaS environment. -Proven experience with object oriented languages (python, ruby, JS, Java, C#, etc.) -Strong familiarity with REST APIs and web-based APIs -Creativity and proactivity - an ability to solve complex problems without a roadmap -Together with your team, your deliverables are always well-instrumented. Queries and dashboards are easily accessible and regularly used to drive decisions as well as measure progress.

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Benefits

-Enthusiastically participate in a high performing, empowered team with high levels of mutual trust and respect. Along with the team, you will take ownership of your problem space - reflecting and growing from our failures and celebrating our successes.

About Appfolio

-Founded in 2006 by Klaus Schauser and Jon Walker, AppFolio emerged to simplify property management through centralized cloud software. -Its flagship product, AppFolio Property Manager, integrates accounting, leasing, marketing, maintenance, and reporting into one platform. -In 2012 it acquired MyCase, later divesting it in 2020 to refocus solely on real estate solutions. -AppFolio has expanded via acquisitions like RentLinx, WegoWise and Dynasty Marketplace to enhance listing presence, analytics, and AI capabilities. -Typical customers range from small landlords to large portfolios, covering single-family, multifamily, commercial, student housing, and community associations. -Its Stack™ Marketplace enables seamless third-party integrations tailored to unique workflows. -In 2024 it introduced Realm-X, a generative AI assistant that automates tasks like report generation, messaging, and maintenance coordination. -Known for rapid feature rollout, mobile-first investor tools, and embedded AI, it stands out in real-time property and investment management.

Sector Specialisms