Senior Data Engineer

About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market, and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 3,600+ associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world. SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market, and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 3,600+ associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world.

Senior Data Engineer

Position Summary

The Senior Data Engineer is a critical technical leader in our modern data ecosystem. Reporting to the Director of Data Engineering or equivalent, this role designs and delivers high-scale data solutions, mentors junior engineers, and helps shape the architectural backbone of our analytics infrastructure. From complex integration frameworks to real-time pipelines and testing systems, this role balances execution with engineering excellence to support fast, reliable, and trustworthy data delivery.

Key Responsibilities What You’ll Own

Integration Architecture

Design scalable, enterprise-ready data integration architectures using both third-party tools and custom frameworks. Define patterns that align with a domain-driven, data mesh approach.

Custom Frameworks

Develop reusable libraries and integration components to support reliable data ingestion where off-the-shelf tools fall short. Codify retry logic, state handling, and performance tuning.

Observability & Testing

Implement monitoring and testing systems across the data lifecycle. Drive adoption of automated testing in CI/CD, and build alerts that preempt failure and degradation.

Real-Time Pipeline Development

Lead the buildout of high-throughput pipelines supporting streaming and low-latency use cases. Address challenges like slowly changing dimensions, windowing, and fault tolerance.

Mentorship & Code Quality

Mentor junior engineers through code reviews and technical coaching. Establish best practices in data modeling, testing, and maintainability that level up the entire team.

Cross-Functional Collaboration

Translate business and analytics requirements into data products by working closely with analysts, data scientists, and stakeholders. Communicate complex logic with clarity.

Innovation & Improvement

Lead proofs-of-concept for emerging technologies. Identify opportunities to reduce technical debt, improve performance, and shape the evolution of the data platform.

Required Qualifications 5–8 years in data engineering; 2+ in a senior/lead role. Expert in SQL and Python (or Scala) for data transformation at scale. Deep experience with 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.

Preferred Qualifications

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. Salary and Other Compensation: The annual salary range for this position is displayed below. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, flexible spending accounts, health savings accounts (HSA) with company contribution, 401(k) retirement plan with matching, employee stock purchase program, life insurance, AD&D, short-term disability insurance, long-term disability insurance, generous paid time off, company holidays, parental leave, identity theft protection, pet insurance, pre-paid legal insurance, back-up child and eldercare days, product discounts, referral bonus program, and more. This posting will close within 90 days from the original posting date. Pay Range $101,300—$179,400 USD Our Culture At SharkNinja, we don’t just raise the bar—we push past it every single day. Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you’ll be right at home. What We Offer We offer competitive health insurance, retirement plans, paid time off, employee stock purchase options, wellness programs, SharkNinja product discounts, and more. We empower your personal and professional growth with high impact Learning Programs featuring bold voices redefining what’s possible. When you join, you’re not just part of a company—you’re part of an outrageously extraordinary community. Together, we won’t just launch products—we’ll disrupt entire markets. At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja’s innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA.

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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 legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at accommodations@sharkninja.com