TO APPLY, ALL APPLICANTS MUST SUBMIT RESUME TO HTTPS://WWW.JOBPOSTINGTODAY.COM/ AND REFERENCE ID#14281 Bullwhip Technologies LLC seeks Senior Data Engineer in Dobbs Ferry, NY: Designing, implementing, and maintaining scalable and efficient data pipelines across multiple microservices. Building automated onboarding workflows for new clients and ensuring the accuracy and reliability of ongoing data ingestion processes. Implement automated quality-assurance procedures, perform root cause analysis on data irregularities, and optimize system performance. Requires close collaboration with backend engineers, product stakeholders, and client technical teams to ensure seamless integrations. Responsibilities also include writing clear, maintainable Python code, documenting onboarding processes and data analyses in tools such as Google Docs and Jupyter notebooks, and contributing to continuous improvements in performance, security, and scalability. Participate in system design decisions, support deployments, and help strengthen the robustness of the overall platform infrastructure. 100% telecommuting permitted. Worksite: 34 Main Street, Dobbs Ferry, NY 10522 40 hrs/week. $173,000/yr. -185,000/yr. Must also have authority to work permanently in the U.S. Minimum Requirements: Masters or foreign equivalent degree in Data Science, Data Engineering, Business Analytics or in related field and 5 years of experience in the job offered or in a data science, data engineering or software development-related occupation.Special Requirements: Position requires experience in each of the following skills: 1. 5 years of experience in Performing data analysis and data-driven problem solving, including descriptive statistics, anomaly detection, and metrics analysis using Jupyter notebooks, Python (pandas, NumPy), and visualization tools such as Streamlit or similar; 2. 5 years of experience in Data science methodologies, including data preprocessing, model experimentation, and analytical workflow development using Python, scikit-learn, and SQLbased analytical systems; 3. 3 years of experience in SQL, including hands-on work in PostgreSQL and BigQuery; 4. 2 years of experience in Data engineering workflows, including ETL/ELT pipeline development using Python, SQL, BigQuery, Postgres, and orchestration tools such as Prefect or similar; 5. 2 years of experience in Data-pipeline components, including scheduled batch pipelines, streaming or incremental workflows, automated QA/QC checks, and monitoring using Python and cloud-based data systems (e.g., BigQuery); 6. 1 year of experience in Object-oriented programming (OOP) and software-engineering best practices using Python, including modular design, version control with Git/GitHub, and unit testing frameworks such as pytest; and 7. 1 year of experience in Python software development, including backend service development, analytics tooling, data ingestion scripts, and API-driven data pipelines.