4 days ago
Base Salary
$159k - $209k/yr
Responsibilities
- Design and implement scalable, maintainable, and secure batch and streaming data pipelines and architectures.
- Define standards for data modeling, data product design, and pipeline orchestration.
- Translate business and analytical requirements into performant, reliable, end-to-end data solutions.
- Establish engineering best practices for code quality, testing, documentation, and deployment.
- Evolve the data platform to be modular, interoperable, resilient, and easier to maintain.
- Lead technical design and code reviews while mentoring peers and raising engineering standards.
- Partner with data platform, analytics, and data science teams to deliver reusable data assets and shared infrastructure.
- Identify architectural bottlenecks and drive improvements to reduce complexity and increase performance.
- Improve data quality, lineage, observability, and system reliability.
- Provide technical leadership across engineering, product, and analytics teams and help evaluate and onboard new technologies.
Requirements
- 8+ years of experience in data engineering or a related field focused on scalable data systems and platforms.
- Strong expertise with Spark, Airflow, Kafka, Databricks, and at least one of AWS, GCP, or Azure.
- Deep understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures.
- Proficiency in SQL and at least one of Python, Scala, or Java.
- Experience owning complex technical systems end-to-end from design through production.
- Strong communication skills for explaining technical concepts to technical and non-technical audiences.
- Experience designing platforms for analytics, machine learning, and operational workloads is preferred.
- Familiarity with data governance, privacy, compliance frameworks, infrastructure-as-code, and data platform observability is preferred.
- Experience in customer-centric or product-driven environments such as digital, eCommerce, or SaaS is preferred.
- Experience with Terraform is preferred.
Benefits
- Health, vision, and dental insurance
- Fertility and family planning programs
- Mental health and fitness benefits
- Paid time off, sick leave, and 14 paid company holidays
- Annual bonus and long-term incentive opportunities
- 401(k) with up to a 5% match
- Commuter benefits and pet insurance
- Hybrid work arrangement
Tech Stack
Categories
Data Engineering