Senior Data Engineer

Robots & Pencils

. Design and implement scalable data pipelines, taking ownership of features end-to-end .

Posted 9/29/2026full-timeRemote • United StatesSenior💰 $119,514 - $164,899 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data pipelines, data modeling, and schema design for analytics. Proficient in optimizing data workflows and ensuring data quality, reliability, and compliance across data systems.

Highest-signal resume keywords

Data Pipeline DevelopmentSQL and Python or Scala ProficiencyETL/ELT Frameworks ExperienceData Modeling and Schema DesignAI/ML Systems Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringSQLPythonScalaETL/ELTData ModelingData ValidationCI/CDContainer OrchestrationReal-Time Data Processing

Soft Skills

Problem-SolvingCommunication

Tools & Technologies

ClaudeCursorCloud Data PlatformsData WarehousingStreaming Platforms

Industry Keywords

Data GovernanceData QualityData ArchitectureDistributed SystemsData Lakes

Tech Stack

Tools & technologies

CloudDistributed SystemsETLPythonScalaSQL

About the role

Key responsibilities & impact

Design and implement scalable data pipelines, taking ownership of features end-to-end
Build and manage data warehouses and data lakes
Optimize data processing workflows and integrate data from multiple systems
Implement data modeling and schema design that supports analytics and downstream use
Implement data validation and monitoring to ensure data quality, reliability, and availability
Design and build data pipelines for production AI/ML systems, including embeddings, vector stores, RAG data preparation, feature stores, and training/inference data flows
Use tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at pace
Collaborate with analytics, AI, and product teams to align data work with broader product and business goals
Communicate technical tradeoffs and decisions clearly across functions
Participate actively in code reviews and design discussions
Contribute to data architecture decisions
Take ownership of meaningful work end-to-end, including operating data systems
Support data governance and compliance efforts

Requirements

What you’ll need

5–7 years of professional data engineering experience
Strong SQL and Python or Scala skills
Working knowledge of cloud data platforms and enterprise data warehousing
Hands-on experience with ETL/ELT frameworks and pipeline orchestration
Experience with streaming platforms and real-time data processing
Strong data modeling skills, including warehouse and lake schema design and data transformation
Working knowledge of distributed systems
Experience with data validation, quality, and observability
Experience with CI/CD for data systems and container orchestration
Experience building data pipelines for production AI/ML systems, including embeddings, vector stores, RAG data preparation, feature stores, and training/inference data flows
Demonstrable, day-to-day usage of AI-forward coding tools such as Claude and Cursor
Strong problem-solving skills and the ability to navigate ambiguous technical challenges with sound judgment

Benefits

Comp & perks

Paid time off
Medical insurance
Dental insurance
Vision insurance
401(k) for eligible employees