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 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world.

Data Engineer

About the Role

SharkNinja is seeking a Data Engineer/Architect to play a critical role in evolving our data infrastructure and analytics capabilities. This position offers a blend of hands-on engineering and strategic architecture work, focusing on improving our existing AWS-based data platform while supporting our growing IoT initiatives.

You’ll work at the intersection of product innovation and data engineering, helping transform raw IoT sensor data, and customer insights into actionable intelligence that drives product development and business decisions.

Key Responsibilities

Architecture & Design

Design and evolve data architecture for our IoT platform, ensuring scalability, reliability, and performance

Define data modeling standards and best practices for data warehousing

Evaluate and recommend improvements to our existing AWS data stack

Create architectural documentation and data flow diagrams for cross-functional teams

Partner with product, engineering, and business intelligence teams to translate requirements into scalable data solutions

Establish data governance frameworks and data quality standards

Hands-On Engineering

Build and optimize ETL/ELT pipelines for batch processing

Develop data ingestion pipelines from IoT devices for real-time and near-real-time data

Design and implement data models to support analytics and reporting use cases

Create and maintain data transformations, ensuring data accuracy and consistency

Optimize query performance for analytics workloads

Implement data orchestration and scheduling workflows

Write code following engineering best practices
Monitor and troubleshoot data pipeline failures and performance issues

Required Qualifications

2+ years of experience in data engineering, with some experience in a design or architect-level role

Strong hands-on experience with AWS data services: Glue, Kinesis, Redshift, S3, and Athena

Senior-level SQL skills and experience with data warehousing concepts (star schema, dimensional modeling, etc.)

Proven experience building and maintaining ETL/ELT pipelines at scale

Strong programming skills for data processing and automation

Experience with batch processing workflows and scheduling tools

Solid understanding of medallion and other data architecture patterns, data modeling, and database design

Experience working with analytics and reporting requirements

Strong problem-solving skills and ability to debug complex data issues

Excellent communication skills with ability to explain technical concepts to non-technical stakeholders
Bachelor’s degree in computer science, engineering, or related field (or equivalent experience)

Preferred Qualifications

Experience with IoT data pipelines and sensor data processing

Familiarity with streaming data architectures and real-time analytics

Experience with infrastructure as code (CDK, CloudFormation)

Knowledge of data quality frameworks and testing tools

Experience with data lifecycles and data lineage

Experience with DataOps practices and CI/CD for data pipelines

Exposure to BI tools (Tableau, Looker, QuickSight, PowerBI, etc.)

Experience in retail, consumer products, or hardware/IoT domains

AWS certifications (Solutions Architect, Data Analytics)

Technical Skills

Required:

AWS: Glue, Kinesis, Redshift, S3, Athena

Languages: Python, SQL

Data Warehousing: dimensional modeling, query optimization, performance tuning

ETL/ELT: pipeline design, data transformation, orchestration

Data Modeling: relational and analytical data models

Nice to Have:

Workflow orchestration: Airflow, Step Functions, MWAA

Data formats: Parquet, Avro, JSON

Version control: Git

Monitoring: CloudWatch, data quality tools
Lakehouse architectures: Delta Lake, Iceberg

What You’ll Work On

Architecting data flows from IoT devices through our AWS infrastructure

Building robust data pipelines to process device telemetry, usage patterns, and performance metrics

Designing analytics-ready data models to support product teams in understanding how customers use our robot vacuums

Enabling real-time and batch analytics to drive product improvements and customer experience

Designing and building dashboards to visualize IoT metrics, product performance, and customer usage insights

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.

Pay Range

$115,000—$130,000 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.

Learn more about us:
Life At SharkNinja
Outrageously Extraordinary

SharkNinja Candidate Privacy Notice

For candidates based in all regions, please refer to this Candidate Privacy Notice.
For candidates based in China, please refer to this Candidate Privacy Notice.
For candidates based in Vietnam, please refer to this Candidate Privacy Notice.

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 [email protected]

Data Engineer

Other open roles at SharkNinja(6)