SharkNinja is looking for a Senior Data Engineer to act as a critical technical leader within our modern data ecosystem. You will design and deliver high-scale data solutions, mentor junior engineers, and help shape the architectural backbone of our analytics infrastructure.
What You'll Do
- Design scalable, enterprise-ready data integration architectures using both third-party tools and custom frameworks.
- Develop reusable libraries and integration components to support reliable data ingestion.
- Implement monitoring and testing systems across the entire data lifecycle.
- Lead the buildout of high-throughput pipelines supporting streaming and low-latency use cases.
- Mentor junior engineers through detailed code reviews and technical coaching.
- Translate business and analytics requirements into data products by collaborating closely with analysts, data scientists, and stakeholders.
- Lead proofs-of-concept for emerging technologies and identify opportunities to reduce technical debt.
What We're Looking For
- 5–8 years of experience in data engineering, with at least 2+ years in a senior or lead role.
- Expert-level skills in SQL and Python (or Scala) for data transformation at scale.
- Deep experience with both batch and streaming data processing.
- Proven ability to design large-scale integration solutions, custom pipelines, and resilient data workflows.
- Familiarity with observability platforms and data quality frameworks.
- Strong understanding of cloud data platforms, preferably Snowflake or BigQuery.
- Excellent communication, mentorship, and cross-functional collaboration skills.
Nice to Have
- Hands-on experience with Fivetran, Airbyte, or other ELT tools.
- Experience with dbt or similar data transformation frameworks.
- Background in domain-oriented data products or data mesh principles.
- Exposure to event-driven architectures and real-time analytics.
- Knowledge of Kimball or Data Vault modeling approaches.
- Experience with infrastructure-as-code and GitOps workflows.
Technical Stack
- Languages: SQL, Python, Scala
- Platforms: Snowflake, BigQuery
- Tools: Fivetran, Airbyte, dbt
Team & Environment
You will report to the Director of Data Engineering or an equivalent leader.
Benefits & Compensation
- Salary range: $101,300 - $179,400 USD
- Medical, dental, and vision insurance
- Flexible spending accounts and HSAs with company contribution
- 401(k) retirement plan with matching
- Employee stock purchase program
- Life insurance, AD&D, short-term and long-term disability insurance
- Generous paid time off, company holidays, and parental leave
- Identity theft protection, pet insurance, and pre-paid legal insurance
- Back-up child and eldercare days, product discounts, and referral bonus program
Work Mode
This role is local-country and open to candidates located in the United States.
We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by applicable law.
