Senior Software Engineer, Analytics and Reporting Solutions ⭐

Why you'll love this role:

• 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.

How you'll shape Data Intelligence at Achievers:

• 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 

Experience we feel will set you up for success:

• 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