Senior Data Engineer - Remote Eligible

Senior Data Engineer

Simple Life is the #1 AI-powered health coaching app for adults who want to lose weight and enjoy a healthier lifestyle—without the stress or extremes. Our mission is to empower people to feel their best every day. By challenging traditional, restrictive approaches, Simple offers a more sustainable method grounded in ease, personalization, and real-life support. Simple has had over 17 million downloads and more than 300,000 5-star reviews, having helped millions lose weight successfully and sustainably. Simple has earned recognition as Best Virtual Coach and one of the Top 100 AI companies — all thanks to a dedicated global team driving real impact.

With Simple as a partner in their pocket, users feel cared for and empowered to embrace—and stick to—new healthy habits.

Key Responsibilities:

• Design and implement scalable and reliable data warehouse architecture, including data models, storage strategies, and processing layers.
• Develop and maintain a robust role-based access control (RBAC) model to ensure secure and appropriate access to data across the organization.
• Design, implement, and maintain inbound and outbound data pipelines, ensuring reliability, observability, and data integrity.
• Optimize SQL queries, data models, and compute/storage resource usage to ensure cost-efficiency and high performance of the data platform.
• Implement and enforce data protection and security best practices, including handling of sensitive and regulated data.
• Work closely with analytics and business teams to understand their needs and deliver efficient, scalable, and reliable data solutions.
• Improve and automate data governance practices, including data quality controls, metadata management, lineage, and compliance-related processes.
• Monitor and troubleshoot data pipelines and platform issues, ensuring stability and timely resolution of incidents.
• Continuously improve the data platform architecture, tooling, and development practices.

What We're Looking For:

• Advanced SQL expertise, including deep understanding of query optimization and execution. Ability to analyze query plans and understand what happens at the physical level.
• Strong commercial experience working with real-world data. Understanding that production data is often messy, incomplete, delayed, or inconsistent, and ability to design systems that tolerate and prevent data quality issues.
• Solid understanding of data flows and data lifecycle. Ability to detect, anticipate, and prevent downstream problems caused by unexpected or malformed data.
• Proven experience designing and building data warehouses. Understanding of common architectural patterns.
• Experience implementing ETL/ELT pipelines in production environments (preferably using Airflow).
• Good understanding of cloud platforms and distributed data systems (preferably AWS).
• Strong Python skills for data processing, orchestration, and automation.
• Experience working with cloud data warehouses (preferably Snowflake).
• Familiarity with BI and analytical tools (preferably Looker or Apache Superset).
• Ability to work with large-scale datasets and production-grade data platforms.

About Our Values:

• Think deeper: We understand that in order to grow we need to make all our decisions reality-based and change our opinion based on what we learn. We appreciate data coming in various forms – quantitative and qualitative, feedback from users and colleagues, and strong and weak signals. We treat data as the main source for leveraging insights and expect people at every level to have conversations that start with data.
• Focus on impact: Results and speed matter. When we are competing to become an A-player in the digital health market, we don't have the luxury of deliberation. We need to make decisions and changes quickly and, swiftly learn from our mistakes. We prioritize what will have the greatest impact and aren't distracted by anything else. We create products that benefit users while we are meeting our metrics.
• Take ownership: We seek to improve all facets of our company even in ways beyond our job description. We seek and take responsibility for our actions and their impact. We value and set high expectations for our own work so that it can add to the overall quality and innovation results of the team. Each one of us is empowered to make this company a success, take the lead to resolve disagreements and systemic issues.
• Push the limits: We encourage our team to explore new ideas, challenge conventional thinking, and continuously improve work. This mindset can lead to breakthroughs in product development, improved operational efficiency, and increased competitiveness in the market. We believe that a culture and mindset of constantly striving to exceed existing standards, boundaries, or expectations that include innovation, experimentation, and a willingness to take risks, can bring us success. We don't accept what someone says as truth if we disagree with it, no matter what authority that person has in the company and express ourselves directly, not through back channels. We challenge ideas, from policy to product decisions, and always seek to understand the reason behind what we do.
• Be a Championship Team: As a part of the championship team, you must improve your own performance constantly also know your teammates, their talents and skills and be focused on a common goal and how to achieve it together. We hold each other accountable for our contribution to the shared success or failure, and we constantly look for ways to help our colleagues to improve and for us to perform better as a team. We collaborate within the team in order to compete with challengers in the outside world. We build relationships of trust. We provide our teammates with the autonomy and support they need to deliver their part of the goal.