Senior Data Engineer

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