About the Role:
We’re looking for an experienced and impact-driven Senior Data Engineer to join our analytics engineering team. In this role, you’ll design and build scalable, secure, and reliable data infrastructure that powers analytics, experimentation, and data-informed decision-making across the organization.
You will work cross-functionally with analysts, data scientists, product managers, and software engineers to ensure clean, trustworthy, and timely data is available to drive strategic insights and business outcomes.
Key Responsibilities:
- Architect and maintain scalable data pipelines for batch and real-time processing using modern data stack tools
- Build and optimize ELT workflows to transform raw data into structured, analysis-ready datasets
- Partner with analytics and business intelligence teams to define data models, metrics, and documentation
- Monitor and improve data quality, performance, and reliability across data warehouses and pipelines
- Contribute to infrastructure decisions, schema design, and governance policies
- Automate data lineage, versioning, and deployment using tools like dbt, Git, and CI/CD pipelines
- Mentor junior data engineers and champion best practices in data architecture and engineering
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
- 5+ years of experience in data engineering or analytics infrastructure roles
- Advanced proficiency in SQL and Python
- Hands-on experience with modern data tools such as dbt, Airflow, Spark, Kafka, or Fivetran
- Expertise in cloud-based data platforms (e.g., Snowflake, BigQuery, Redshift, Databricks)
- Experience in supporting BI platforms (Looker, Tableau, Power BI) and data governance practices
- Strong understanding of dimensional modeling, data warehousing, and pipeline orchestration
Preferred Qualifications:
- Experience working in high-scale or fast-growth environments (e.g., SaaS, fintech, e-commerce)
- Familiarity with reverse ETL, experimentation platforms, or customer data platforms
- Exposure to MLOps tools and pipelines (e.g., MLflow, Feature Store) is a plus
- Passion for building efficient, self-service, analytics-ready data ecosystems
What We Offer:
- A high-impact role at the core of our data-driven culture
- Competitive compensation, equity options, and performance-based bonuses
- Flexible work arrangements and a modern tech stack
- Continuous learning and career development in a collaborative environment
- Direct visibility into how your work drives business strategy and product innovation
How to Apply:
📩 Please send your resume and a short statement of interest to: data-hiring@yourcompany.com
Subject: Application – Senior Data Engineer, Analytics – [Your Name]
🗓 Applications are reviewed on a rolling basis