Senior Data Engineer, Analytics

We are looking for an experienced and passionate Senior Data Engineer, Analytics to join our data team! You will be owning the transformation and semantic layer that turns data into clean, tested, well‑documented tables and dashboards that data scientists, product managers, and business stakeholders can trust and self‑serve from. You’ll define and operationalize the metrics that inform how we identify opportunities, measure success, and make decisions. We’re hiring for multiple verticals on our Data Engineering team, including Engagement, Performance, and Safety/GRC. What you will be doing Design, build, and maintain curated analytical datasets and data models that serve as canonical sources for metrics, dashboards, and analyses Own metric definitions end to end, from partnering with data science and product team to define what we should measure, to implementing it in production, to surfacing it in visualization tools Build and maintain executive‑level dashboards and self‑serve reporting tools that enable business stakeholders to answer their own questions Partner closely with data science, product manager, and engineering teams to translate business questions into well‑modeled, performant, and discoverable data assets Establish and enforce data quality standards through testing frameworks, documentation, and monitoring for the datasets you own Drive adoption of consistent data modeling patterns, naming conventions, and documentation norms across the data organization What you should have 4+ years of experience in analytics or data engineering with a strong focus on building curated, consumer‑facing datasets 4+ years of experience in designing, developing, and maintaining robust data models from structured and unstructured sources 4+ years of experience writing accurate and effective code in SQL Experience with designing data model to power a variety of use cases, including experimentation Fluency in Python or another programming language, with solid fundamentals in version control and CI/CD practices Experience building and owning executive‑level dashboards and reports using BI tools (e.g., Looker, Tableau, or similar) Strong business acumen, you will partner with data scientists and product managers to translate ambiguous business questions into concrete metric definitions and data models Excellent communication, comfortable being the connective tissue between technical and business teams Last but not least, desire to work with amazing, passionate people who care deeply about solving challenging problems to improve the company Bonus Points Passion for the company or online communities Experience building or contributing to a semantic layer or metrics store Experience with modern analytics and data engineering tools and workflows (dbt, BigQuery, or similar) Experience defining and governing metric standards across a data organization Experience working on analytics for core features (i.e. messaging, video/voice call etc) in communication app. Experience working on analytics for performance and reliability of communication app The US base salary range for this full‑time position is $196,000 to $220,500 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job‑related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits. The company is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. #J-18808-Ljbffr United States Digital Space LLC