
Posted 21 days ago
Senior Software Engineer (Data Backend)
AI Summary
Design, build, and maintain backend services and data pipelines for a data platform, leading technical design and cross-functional coordination.
About this role
Position Overview
We're looking for a Senior Software Engineer to design, build, and maintain the backend systems powering our data platform. This role combines deep technical craftsmanship with the ability to lead cross-functional initiatives — you'll write production-grade code, make architectural decisions, and coordinate with stakeholders across engineering, data science, and product to deliver reliable, scalable data infrastructure.
Key Responsibilities
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Design, develop, and maintain backend services and data pipelines that support analytics, reporting, and downstream applications
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Write clean, well-tested, maintainable Python and SQL code and contribute to the evolution of our engineering standards and best practices
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Architect data storage, processing, and integration solutions that scale with business needs
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Lead technical design discussions and make sound trade-offs between performance, cost, maintainability, and delivery speed
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Partner with data scientists, analysts, product managers, and other engineering teams to translate business requirements into technical solutions
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Own project timelines and deliverables for cross-functional initiatives, coordinating dependencies across teams
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Conduct code reviews and mentor junior and mid-level engineers
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Troubleshoot and resolve production issues, including performance bottlenecks and data quality problems
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Contribute to technical documentation and knowledge-sharing across the organization
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Evaluate and recommend new tools, frameworks, and approaches to improve the team's data infrastructure
Required Qualifications
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U.S. Citizenship required.
Technical Skills
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Strong foundation in computer science fundamentals: data structures, algorithms, distributed systems, and software design principles
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Expert-level Python programming skills, with experience building production backend systems
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Solid understanding of relational databases and SQL; experience with cloud data warehouses (e.g. Redshift) a plus
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Experience with cloud infrastructure (AWS, GCP, or Azure) and infrastructure-as-code tools (e.g., Terraform)
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Familiarity with data processing frameworks (e.g., Spark, Pandas) and workflow orchestration tools (e.g., Airflow)
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Strong understanding of API design, microservices architecture, and system integration
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Proficiency with version control (Git) and CI/CD practices
Project & Cross-Functional Skills
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Demonstrated experience leading or coordinating projects across multiple teams or stakeholders
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Strong project management instincts: scoping work, setting timelines, managing risk, and communicating status clearly
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Excellent written and verbal communication skills, with the ability to translate technical concepts for non-technical audiences
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Comfortable working independently and driving initiatives forward with minimal oversight
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Experience balancing competing priorities and stakeholder needs in a fast-paced environment
Experience & Education
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6+ years of professional software engineering experience, with a focus on backend or data systems
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Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
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Experience mentoring other engineers and contributing to team technical direction is a plus
Benefits
Skills
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Market data for backend engineer roles
All reports →- Role reportBackend engineer jobs, Sep 2026: new listings up 22.7% in a weekBackend engineer new listings rose 22.7% this week to 481, with 4,949 active roles. Senior positions make up over half. Apply early to new openings.
- SeriesSalary reportsWhat employers publish in job postings, by level and workplace. Not self-reported pay.
- Market overviewState of tech hiring, September 2026: up 4.8%Tech hiring rose 4.8% month over month in September 2026, with 411,122 new listings. Customer support and account executive roles led the growth.