Senior Data Engineer

Robots & Pencils

. Design, implement, and deploy data and AI/ML systems on AWS end-to-end, including data lake pipelines, observability instrumentation, and optimization for performance, reliability, and cost .

Posted 10/2/2026full-timeRemote • United StatesSenior💰 $119,514 - $164,899 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying data and AI/ML systems on AWS, with a strong focus on building data lakes, observability, and cost optimization. Proficient in software engineering practices, including Python and SQL, while effectively collaborating with cross-functional teams and mentoring junior engineers.

Highest-signal resume keywords

AWS Data EngineeringPython ProgrammingData Lake DevelopmentMLOps PracticesAWS Certified Data Engineer – Associate

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringAI/ML SystemsPythonSQLAWS CDKInfrastructure as CodeCost OptimizationObservabilityStreaming on KinesisData Governance

Soft Skills

Problem-SolvingCollaborationCommunication

Tools & Technologies

AWS S3AWS Lake FormationAWS GlueAWS AthenaAmazon CloudWatchAmazon X-RayOpenTelemetrySageMaker Model MonitorClaude CodeCursor

Certifications & Qualifications

AWS Certified Data Engineer – Associate

Industry Keywords

Data PlatformsAI SystemsObservability InstrumentationDrift MonitoringResponsible AI Principles

Tech Stack

Tools & technologies

AWSGrafanaPrometheusPythonRaySQL

About the role

Key responsibilities & impact

Design, implement, and deploy data and AI/ML systems on AWS end-to-end, including data lake pipelines, observability instrumentation, and optimization for performance, reliability, and cost
Maintain and evolve production platforms, monitor for drift, debug issues, and drive improvements to reliability and scalability
Use AI-forward coding tools such as Claude and Cursor to ship higher-quality work
Partner with AWS Professional Services, client engineering, and data teams
Translate technical tradeoffs, system behavior, and constraints for non-specialists
Participate in code reviews and design discussions
Contribute to data and AI architecture decisions
Own meaningful work end-to-end and support more junior engineers

Requirements

What you’ll need

5+ years professional software or data engineering experience, with 2+ years building data platforms or AI/ML systems in production on AWS
Strong software engineering background (Python and SQL, or similar)
AWS Certified Data Engineer – Associate; candidates without it are considered if there is a clear, near-term path to earning it
Hands-on experience building data lakes on AWS, including S3, Lake Formation, Glue, Athena, and Iceberg or Parquet
Exposure to streaming on Kinesis or MSK
Experience with observability for distributed and AI systems, including CloudWatch, X-Ray, OpenTelemetry/ADOT, Amazon Managed Service for Prometheus and Grafana, and drift monitoring with SageMaker Model Monitor
Working knowledge of agent enablement on AWS, including Amazon Bedrock Knowledge Bases, Guardrails, RAG patterns, and Bedrock Agents
Experience shipping agentic or ML systems in production environments
Experience with MLOps and LLMOps practices, including evaluation, deployment, and monitoring of models and agents
Experience with infrastructure as code using AWS CDK, and CI/CD for data and AI systems
Understanding of IAM and KMS security, data governance, responsible AI principles, and PII handling
Cost optimization experience across storage, query, compute, and model usage
Experience delivering solutions in a consulting or professional services setting, working alongside client and partner teams
Demonstrable, day-to-day usage and knowledge of AI-forward coding tools such as Claude Code 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)