We are looking for a Senior Data Engineer to serve as a technical leader within our Analytics Engineering team. In this role, you will design and build scalable data platforms and high-impact data products that power critical business decisions, analytics, and machine learning use cases.
You will work cross-functionally with engineering, product, data science, and business teams to deliver reliable, high-quality data solutions while setting standards and best practices across the organization.
Design, build, and maintain scalable data pipelines and data products Architect robust data models and transformation frameworks Lead end-to-end data platform initiatives (design → development → deployment) Define and implement best practices for data quality, testing, and observability Collaborate with cross-functional teams to gather requirements and deliver solutions Optimize data systems for performance, scalability, and cost-efficiency Mentor engineers and contribute to team-wide technical standards Drive adoption of modern data tools and frameworks Build reusable components and improve overall platform efficiency 5+ years of experience in Data Engineering or Analytics Engineering Strong expertise in SQL and Python Experience building and maintaining large-scale data pipelines Hands-on experience with: Cloud platforms (AWS, GCP, or Azure) Data warehouses (Snowflake, BigQuery, Redshift) Data transformation tools (dbt or similar) Workflow orchestration tools (Airflow, Dagster, etc.) Strong understanding of data modeling, ETL/ELT, and data architecture Experience with CI/CD and DevOps practices for data systems Ability to lead complex projects and work across teams Strong communication skills (technical + non-technical) Experience supporting machine learning workflows Knowledge of data governance and data quality frameworks Experience with cost optimization (FinOps) Background working in startup or high-growth environments Experience building internal data platforms or shared infrastructure Strong problem-solving and system design skills Passion for building scalable and maintainable systems Ability to work with ambiguity and drive clarity Leadership mindset with a focus on mentoring and collaboration Continuous improvement mindset with attention to quality and performance Experience with real-time data processing Exposure to data observability tools Experience designing semantic layers or metrics layers Job Skills
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