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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer (Analyst/Scientist) - Remote - **Company:** KAKE,INC - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, BigQuery, Computer Programming, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Visualization, Data Warehousing, Cursor (Graphical User Interface Elements), Python (Programming Language), Machine Learning, NoSQL, Raw Data, Power BI, Tensorflow, Data Driven Tests, SQL Databases, Tableau (Software), Google Cloud, Pytorch, Snowflake, Data Strategy, Scikit Learn, Looker Analytics, Data Pipelines, Programming Languages - **Published:** September 10, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pj24zbb4g5 ## About the Role We're looking for Senior Data Engineers with strong experience in data analysis, data science, or data engineering, skilled in turning raw data into reliable insights and scalable pipelines. It's a great fit for people who enjoy owning data problems end-to-end and collaborating closely with product and engineering teams to drive data-informed decisions., * 5+ years of experience in Data Analysis, Data Science, or Data Engineering. * Strong experience with SQL and working with relational and/or NoSQL databases. * Hands-on experience with a programming language such as Python, R, or similar. * Experience building or maintaining data pipelines, ETL/ELT processes, or data warehouses. * Familiarity with data visualization tools such as Tableau, Power BI, Looker, or similar. * Ability to translate business questions into clear, data-driven analysis and recommendations. * Excellent written and verbal communication skills in English. * Ability to work independently in a remote, fast-paced environment. Nice-to-Have * Experience with big data or cloud platforms such as AWS, GCP, Azure, Snowflake, BigQuery, or similar. * Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch. * Programming experience with data orchestration tools such as Airflow, dbt, or similar. * AI-forward mindset with active use of AI-assisted tools for data analysis, coding, or modelling (e.g., Claude, Copilot, Cursor). * Experience contributing to data strategy or quality initiatives at a senior level. * Comfortable working flexible hours to overlap with distributed teams across different time zones. ## Description * Design, build, and maintain data pipelines and workflows that support analytics, reporting, and modelling needs. * Analyze large datasets to identify trends, patterns, and actionable insights for the business. * Build, validate, and maintain statistical or machine learning models to solve business problems. * Ensure data quality, consistency, and integrity across sources and pipelines. * Design and maintain data models, schemas, and warehouses that support scalable analytics. * Collaborate with stakeholders to translate business questions into data solutions and clear reporting. * Contribute to data best practices and continuous improvement initiatives across projects. * Participate in requirement reviews and help identify data risks early in the development process. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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