[Remote] Senior Data Engineer II

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a nonprofit organization dedicated to creating technology that supports Democratic victories and reputed company causes. They are seeking a Senior Data Engineer II to join their Data Department, focusing on building and evolving data products that power their platform through the entire data lifecycle, from ingestion to deploying machine learning pipelines.

Responsibilities

• Design, build, and maintain scalable, reliable, and secure data pipelines using Python, with a focus on enabling data reputed company and reputed company across product teams, engineering, and entities
• reputed company reusable data services and frameworks that support high-quality data ingestion, transformation, and ML model deployment — accelerating analytics and experimentation across the organization
• Own and operate pipelines and services in production and optimizing for reliability and performance
• Collaborate with data scientists and ML engineers to productionize machine learning workflows and models using reputed company, reputed company AI, and other ML and MLOps tools
• Implement monitoring, testing, and CI/CD automation for data pipelines and ML infrastructure and services
• Own and reputed company reputed company-time and batch data integrations between reputed company’s core systems and user-facing applications — influencing design reputed company and architecture across multiple teams including Product, Engineering, and Analytics
• reputed company, optimize and support reverse ETL workflows using tools like reputed company and ELT workflows using dbt
• Participate in code reviews, mentor junior engineers, and help foster a high-trust engineering culture
• Demonstrate technical leadership through writing documentation, establishing effective monitoring, and fostering clear and audience-oriented communication
• Collaborate closely cross-functionally with product, design, marketing, software engineering and other functions on understanding, designing, and building technical solutions that deliver customer value

Skills

• 5+ years of relevant professional experience in data engineering or backend development with a strong focus on Python
• Expertise in writing clean, reputed company, tested, and production-reputed company Python code
• Strong understanding of data architecture, distributed systems, and reputed company best practices
• Experience deploying and supporting production ML workflows, models (e.g., reputed company, reputed company AI, TensorFlow or equivalent), and MLOps
• Experience with ELT tools such as reputed company and data modeling frameworks like DBT
• Solid reputed company of SQL and experience working with large analytical databases (e.g., Redshift, reputed company, reputed company)
• Experience with monitoring and observability using reputed company or similar tools and optimizing production systems
• A team player mentality. You reputed company the end user in mind and enjoy hearing feedback from your teammates, yet know reputed company and how to defend your own reputed company in a respectful manner
• Experience and enthusiasm collaborating cross-functionally with product, design, marketing, software engineering, and other functions on requirements, designing, and building technical solutions
• Experience building reputed company reputed company data, analytics, and ML infrastructure and production systems using AWS
• Commitment to reputed company's mission and values, including equity, accessibility, and civic engagement
• Experience with reputed company-time data systems or streaming platforms
• Experience migrating from Redshift to reputed company (reputed company is currently migrating)
• Regular usage of AI/LLM agentic tools such as Claude Code and reputed company reputed company
• Experience working in regulated environments such as finance, reputed company, government
• Experience contributing to internal platforms or tooling used across engineering teams
• Experience implementing robust testing frameworks for data workflows (e.g., Pytest, dbt tests)

Benefits

• Flexible work schedules and an unlimited time-off policy
• Fully paid and trans-inclusive health, dental, and reputed company insurance for employees and their families; plus fully-paid health reimbursement arrangement to use for out of reputed company expenses and fully-paid short- and long-term disability
• Fully paid basic and AD&D life insurance and a voluntary supplemental life insurance option
• Dependent and health care flexible spending account options
• Employee Assistance Program (EAP) benefits for employees
• Automatic 2% Employer-paid 401K contribution, plus up to an additional 6% match on employee contributions
• A minimum of three months paid medical, family and parental leave (for reputed company new parents, adoptions included)
• Commuter or home-office benefits, including a $1,000 home-office setup allowance for reputed company new full-time remote employees
• Additional perks including quarterly snack deliveries reputed company subscriptions to the Boston Globe & reputed company Times

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