Robots & Pencils Logo

Robots & Pencils

Senior Data Engineer

Posted 7 Days Ago
Remote
Hiring Remotely in US
120K-165K Annually
Senior level
Remote
Hiring Remotely in US
120K-165K Annually
Senior level
Designs, builds, and operates scalable data pipelines, warehouses, lakes, and integrations supporting analytics, products, and production AI/ML systems. Responsibilities include data modeling, schema design, validation, monitoring, orchestration, real-time processing, governance, and observability. The role contributes to architecture decisions, collaborates across analytics, AI, and product teams, communicates technical tradeoffs, and owns data engineering work end to end.
The summary above was generated by AI

We’re looking for a Senior Data Engineer to design, build, and operate the data pipelines and platforms that power analytics, AI, and product work. This role is ideal for an engineer with several years of experience who can confidently own pipelines end-to-end and bring strong technical judgment to the problems they take on. 

In this role, you will work as a key contributor on a cross-functional team, designing scalable pipelines, building and managing data warehouses and data lakes, and integrating data from across systems. You’ll collaborate with experienced engineers to enhance existing systems, deliver new capabilities, and contribute to the technical decisions that shape how our data work scales over time. 

Why This Role Matters 

At Robots & Pencils, we design AI systems for a human world. Our name says it all. Robots and pencils means engineering paired with creativity, because every agent we ship has to work for real people in real workflows. That balance is baked into how we operate. 
 
Every role here contributes directly to that mission. Here, you shape how AI systems integrate into enterprise operations, how teams move at real velocity, and how products create measurable impact for clients and the people they serve. We ship production-ready AI in 30 to 45 days. That pace demands people who take ownership, lead with craft, and care deeply about what they put their name on. 

What You’ll Do 

Craft & Delivery 

  • 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 
  • Bring an AI-forward coding mindset to your daily work, using tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at pace 

Collaboration & Communication 

  • Collaborate closely with analytics, AI, and product teams to align data work with broader product and business goals 
  • Communicate technical tradeoffs and decisions clearly across functions, translating data architecture and constraints into terms others can act on 
  • Participate actively in code reviews and design discussions, raising concerns and offering constructive feedback 

Leadership & Influence 

  • Contribute to data architecture decisions, bringing thoughtful perspective on tradeoffs and long-term implications 
  • Take ownership of meaningful pieces of work and follow through end-to-end, including the unglamorous parts of operating data systems 
  • Support data governance and compliance efforts, helping raise the bar on practices across the team 

What You’ll Bring 

  • 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 
  • Exposure to data mesh, data fabric, MLOps, or BI tool integration is a plus 

Helpful Extras and Unique Skills 

You’ll Do Well Here if You Are 

  • A doer. You see something broken and fix it. You'd rather move on clarity than wait for certainty. 
  • A fast learner who knows you don't know everything. The AI landscape changes weekly. You're senior enough to know better and curious enough to keep learning anyway. 
  • Direct in a way that makes the work better. You give honest feedback. You'd rather have the hard conversation than blow smoke. 
  • Obsessed with craft. You know genius is in the details. You ship exceptional, not perfect, and you don't put your name on work you wouldn't stand behind. 
  • Built for ownership. You honor commitments, admit mistakes fast, and back your teammates when a decision costs something. No handoffs, no finger-pointing. 
  • All in. You treat clients' businesses like your own. You take the work seriously without taking yourself seriously. 
  • Resourceful when the budget, timeline, or team is tight. Constraints don't slow you down. They sharpen you. 
  • Glad to be in the room with people who care as much as you do. Our teams average fifteen-plus years of experience. We hire people who push each other to do better work. 

The below range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. The salary range for this role is $119,514USD - $164,899USD.  We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees. 
 
An offer of employment may be conditional upon successful completion of a background check in accordance with local legislation and our candidate privacy notice. Your current employer will not be contacted without your permission.  We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. 

Similar Jobs

4 Hours Ago
Remote or Hybrid
115K-145K Annually
Senior level
115K-145K Annually
Senior level
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Designs, builds, and supports scalable data pipelines, cloud-native processing systems, data models, APIs, and analytics solutions. The role ensures data quality, observability, testing, governance, CI/CD, and production reliability while partnering with engineering, product, analytics, BI, and business stakeholders. Responsibilities include architecture decisions, troubleshooting, documentation, Agile delivery, incident response, and mentoring engineers.
Top Skills: Amazon AthenaAmazon EmrAmazon MwaaAmazon RedshiftAmazon SnsAmazon SqsApache AirflowApache HiveApache IcebergSparkAPIsAws GlueAws LambdaAws S3Aws Step FunctionsCi/CdDatabricksGithub ActionsInfrastructure As CodeJavaLookerMicrostrategyPostgresScalaSinglestoreSnowflakeSQLTableau
4 Hours Ago
In-Office or Remote
139K-219K Annually
Senior level
139K-219K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Designs scalable data architectures, ELT/ETL pipelines, data models, quality frameworks, and self-service data platforms. Partners with engineering, product, program, leadership, and data science teams to translate business needs into technical solutions. The role includes end-to-end technical ownership, large-scale batch and streaming data processing, mentoring junior engineers, system optimization, and on-call support for platform stability.
Top Skills: Amazon RedshiftApache AirflowBatch ProcessingBitbucketCi/CdData LakesDatabricksDatabricks ApisDynamoDBGitMachine LearningMongoDBPostgresPythonScalaSparkSQLStreaming
3 Days Ago
In-Office or Remote
92K-164K Annually
Senior level
92K-164K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Designs, develops, deploys, and supports scalable cloud data engineering solutions for HEDIS processing and healthcare quality reporting. Builds ETL pipelines, data integrations, SQL transformations, and AI-enabled workflow automation. Collaborates with stakeholders, auditors, and product teams to ensure data quality, regulatory compliance, and operational reliability. Troubleshoots production issues, supports cloud modernization, applies CI/CD and testing practices, and mentors engineers as a senior individual contributor.
Top Skills: Agentic AiAICi/CdDatabricksETLFhirGenaiAzureSQL

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account