Senior Analytics Engineer

About Remote Remote is addressing the major challenge of global remote organizations: compliantly employing anyone anywhere. We enable both large and small businesses to employ a global team by handling global payroll, benefits, taxes, and compliance. Visit remote.com/how-it-works to learn more or scroll down to apply now if you're interested in supporting our mission. We invite you to visit remote.com/handbook to learn more about our culture and work environment. We not only encourage people of all ethnicities, genders, sexual orientations, ages, and abilities to apply, but we prioritize a sense of belonging. Independent reviews by other candidates are available on Glassdoor, or you can check the results of our candidate surveys to see how others feel about working and interviewing here. All our positions are entirely remote. Therefore, no relocation is necessary to join us! The Position This is an exciting time to join Remote as a Senior Analytics Engineer I, part of our Data Engineering team which also constitutes Analytics Engineers and Data Engineers. With the Data Analytics team, we support decision-making and reporting by translating data into actionable insights for non-data professionals at Remote. We primarily use SQL, dbt, Python, Meltano, Airflow, Redshift, Metabase, and Retool. This role falls under the Senior Engineer I category on the Remote Career paths. Requirements - 3+ years of experience in analytics engineering; experience in a high-growth tech company is a plus. - Strong experience with data transformation frameworks (e.g., dbt) and data warehouses (e.g., Redshift), strong proficiency in SQL. - Strong knowledge in data modeling techniques (Kimball, Data Vault, etc.). - Solid Experience with data visualization tools (e.g., Metabase). - Strong affinity towards well-crafted software - testing, knowledge of best practices, experience with CI/CD (e.g., Gitlab, Github, Jenkins). - Ability to thrive in an unstructured and fast-paced environment. - Proven collaboration and communication skills. - Experienced in handling ambiguity, collaborating with stakeholders to transform abstract concepts into data models that answer a range of questions. - Proficient in English. - Experience working remotely is not required but considered a plus. Key Responsibilities DBT Modelling: - Design, develop, and maintain dbt models for data transformation and analysis, facilitating clean and reliable data for end users, helping them get accurate and consistent responses through self-serving BI tools. - Work with Data Analysts and Business Stakeholders to comprehend their reporting and analysis needs and translate them into DBT models. - Maintain our internal dbt conventions and best practices, ensuring a clean and efficient codebase. Data Analytics & Monitoring: - Assure data quality and consistency by implementing data testing, validation, and cleansing techniques. - Implement monitoring solutions to monitor the health and performance of our warehouse's data. - Train business users on data visualization tools usage. Drive our Culture of Documentation: - Create and maintain data documentation & definitions, including data dictionaries and process flows. - Collaborate with cross-functional teams to understand their data requirements and deliver effective data solutions. - Share knowledge and provide guidance to peers, fostering a culture of collective growth. Practicals - You'll report to the Engineering Manager - Data. - You will be part of the Data Engineering team. - Location: Anywhere in the world. - Start date: As soon as possible. Application process The application process includes an asynchronous profile review, interviews with a recruiter and future manager, a small challenge, a challenge review, interviews with team members (no managers present), prior employment verification checks, and finally an offer. Benefits Detailed benefits & perks can be found in our handbook at remote.com/r/benefits. As a global company, each country operates differently, but some benefits apply to all Remoters: work from anywhere, unlimited personal time off (minimum 4 weeks), quarterly company-wide self-care day off, flexible working hours (we're async), 16 weeks paid parental leave, mental health support services, stock options, learning budget, home office budget & IT equipment, budget for local in-person social events or co-working spaces. Planning Your Day (and life) We work in an asynchronous manner at Remote, which means you can align your schedule with your life (and not around meetings). You can read more at remote.com/async. You will be empowered to take ownership and manage your time so you can balance your work, personal, and family life, as long as you're also achieving your goals.