Data Engineer

Sharkninja Operating LLC
United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$115,000.0 - $130,000.0
Working hours
Regular working hours
Job source

Tech stack

Query Performance Airflow Amazon Web Services Amazon S3 Data Analysis Automation of Tests Batch Processing Computer Programming Continuous Integration Data as a Services Data Architecture Data Cleansing
+39 more
Information Engineering Data Governance Data Infrastructure Extract Transform Load (ETL) Data Transformation Data Warehousing Database Design Software Debugging Dimensional Modeling JSON Python (Programming Language) Performance Tuning Query Optimization Power BI Standard Sql DataOps SQL Databases Data Streaming Tableau (Software) Workflow Management Systems Parquet Data Processing Git Cloudformation Data Lakes Information Technology Data Lineage Avro Data Analytics Star Schema AWS Data Analytics Real Time Data Cloudwatch Stream Analytics Looker Analytics Software Version Control Data Pipelines Predix Amazon Redshift

Job description

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

Requirements

Do you have experience in Version control?, Do you have a Bachelor’s degree?, 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 , e ngineering, 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

Benefits & conditions

Pulled from the full job description

  • Referral program
  • Pet insurance
  • Employee stock purchase plan
  • AD&D insurance
  • Parental leave
  • Health insurance
  • 401(k) matching, 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. To gether, 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.

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · WWC Europe 2026

3:02 min

Audience Q&A on data formats and engine tradeoffs

Matthias Niehoff Matthias Niehoff · WWC Europe 2026

3:47 min

Exploring JSON, CBOR, and JOSE for data serialization

Aaron Russell · LIVE

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

1:52 min

Customizing block storage tiers and formats

Ricardo Sueiras Sueiras · LIVE

2:03 min

Distinguishing type definition constructs from data validation routines

Clemens Vasters Clemens Vasters · WWC 2025

Videos

See all

Related articles

See all