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.
Why you'll love this role:
This is a backend role - a great opportunity to deepen your knowledge and grow your skills with various tools.Report to an experienced Engineering leader who can offer you mentorship, autonomy, ownership, and a genuine investment in your growth toward the next senior level in your career.Work on complex, challenging projects - apply your expertise to shape architecture, influence technical direction, and mentor fellow team members.Join a close-knit, 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.
How you'll shape Data Intelligence at Achievers:
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) Ensure data quality, governance, privacy, and compliance standards are met across all systems Continuously research and experiment with new tools, frameworks, and technologies to drive innovation and efficiency Contribute to agile development cycles, including sprint planning and retrospectives
Experience we feel will set you up for success:
Bachelor’s or Master’s degree in Computer Science or a related field 3+ 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 Strong understanding of analytics fundamentals, including dimensional data modeling, data transformation, and data visualization best practices Experience with cloud platforms (GCP, AWS, or Azure) Proficient in server-side programming languages such as Python, PHP, or Go Experience with relational and NoSQL databases (e.g., MySQL, MongoDB)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) 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 
