Senior Software Engineer, Analytics and Reporting Solutions ⭐

Our Data Intelligence team builds backend services that turn data from our SaaS platform into high-value, actionable insights for our customers. We’re transforming the way data is used at Achievers, delivering high-impact, intelligent services that redefine how work gets done. Our tech stack leverages microservices built with Python and Go, running on GCP and Kubernetes. We're creating smoother, smarter, and more delightful experiences for our users, and we're solving real engineering problems at scale.

Note: this is not a Data Engineering position

Lead high-impact initiatives that shape how millions of people experience work around the world.

Bring your unique perspective to complex and challenging projects - apply your expertise in architecture, influence technical direction, and mentor fellow team members.

Join a close-knit, no-ego, high-performing team that solves meaningful problems and celebrates successes together.

Work alongside an experienced leadership team who is genuinely invested in your career growth.

Thrive in a fast-paced, high-growth environment where innovation is encouraged and your voice truly matters.

Design, develop, and maintain backend services that support reporting, analytics, data export, and data-driven product features

Collaborate closely with product, data, and engineering teams to deliver actionable insights and AI-powered features that enhance user experience and decision-making

Design and implement well-structured APIs to integrate with internal and external BI tools (e.g., Looker, Tableau, Power BI)

Apply strong data modeling and transformation techniques to support dimensional analytics and interactive visualizations

Ensure data quality, governance, privacy, and compliance standards are met across all systems

Participate in code reviews, technical design discussions, and architecture planning

Provide mentorship and technical guidance to junior engineers

Continuously research and experiment with new tools, frameworks, and technologies to drive innovation and efficiency

Contribute to agile development cycles, including sprint planning, estimation, and retrospectives

Bachelor’s or Master’s degree in Computer Science or a related field

5+ years of backend software engineering experience in enterprise environments, with a focus on reporting, analytics, and data-driven features such as data export and insights

Expertise in Systems Design with proven ability to design complex, distributed systems at scale, with attention to performance, scalability, and fault tolerance

Strong understanding of analytics fundamentals, including dimensional data modeling, data transformation, and data visualization best practices

Experience with cloud platforms (GCP, AWS, or Azure) and cloud-based data warehousing (preferably Google BigQuery)

Proficient in server-side programming languages such as Python, PHP, or Go

Solid experience with relational and NoSQL databases (e.g., MySQL, MongoDB), including schema design, data modeling, and performance tuning

Familiarity with streaming or near real-time data ingestion technologies (e.g., Kafka, Pub/Sub)

Strong understanding of RESTful API design and integration with BI and analytics tools (e.g., Looker, Tableau, Power BI)

Proficient with data serialization formats such as JSON, CSV

Knowledge of data privacy, security, and governance best practices

Experience with agile software development methodologies (e.g., Scrum, Kanban)

Ability to lead technical discussions, mentor junior engineers, and collaborate effectively with cross-functional teams

Strong analytical and problem-solving skills with attention to detail and code quality

Proactive in exploring and adopting new technologies, frameworks, and APIs

Excellent verbal and written communication skills in English

Experience integrating applications with AI/ML systems is a plus

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