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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Sharkninja Operating LLC - **Location:** United States - **Experience:** Experienced - **Salary:** $115,000.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** 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, 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 - **Published:** May 20, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=4eb47d9c8a787444 ## About the Role 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 ## 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [From event streaming to event sourcing 101](https://www.wearedevelopers.com/videos/91-from-event-streaming-to-event-sourcing-101) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)