About the Role
As a Senior Python Backend Software Engineer at Within3, you will play a pivotal role in leading the development of advanced insights capabilities and supporting public data integration projects. This position is fully remote, allowing you to work from anywhere within the USA.
Key Responsibilities
- Design and Develop: Lead the design and advancement of data processing pipelines for the company’s flagship SaaS platform.
- Collaborate: Work with a distributed, cross-functional team to deliver scalable, modern SaaS software solutions.
- Problem Solving: Focus on solving complex problems, not just using specific tools.
- Best Practices: Advance best practices in software and data engineering, ensuring robust, scalable, and efficient solutions.
- Code Quality: Write clear, extensible, maintainable, and testable code.
- Requirements Refinement: Collaborate with product owners to refine requirements and ensure the right solutions are built.
- Quality Assurance: Work with QA teams to ensure platform stability and quality.
- Mentorship: Engage in mentoring, sharing knowledge, and fostering a culture of appreciation for data, systems, and scale.
Requirements
- Experience: 6+ years of professional programming experience with Python.
- Software Engineering: Strong foundation in software engineering practices, including version control (git), dependency management, testing (pytest), and CI/CD.
- Data Engineering: Proficient in data engineering and data processing pipelines.
- Security: Understanding of privacy-by-design frameworks and code-level security techniques.
- Database Management: Experience with RDBMS/OLAP/OLTP databases like PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, Redshift, or Snowflake.
- NoSQL Databases: Experience with NoSQL databases such as Redis, MemoryDB, DynamoDB, Neptune, or Neo4j.
- Data Pipeline Frameworks: Experience with frameworks like Airflow, Spark, Flink, Snowflake, Kafka, Amazon SWF, or Amazon EMR.
- API Design: Understanding of modern API design patterns (REST, JSON, GraphQL).
- Communication: Strong collaboration and communication skills.
Preferred Skills
- Observability Tools: Experience with tools like DataDog, Honeycomb, or New Relic.
- Data Libraries: Familiarity with data libraries such as Pandas, NumPy, or SciPy.
- Machine Learning: Experience with machine learning frameworks/tools like TensorFlow, PyTorch, Keras, Scikit-learn, or SageMaker.
- Data Versioning: Familiarity with data versioning tools like Delta Lake, DVC, or LakeFS.
- Containerization: Experience with Docker.
Benefits
- Remote Work: Fully remote home-based flexible working.
- Equipment: Create your own home working space, including a MacBook Pro and monthly communication allowance.
- Work-Life Balance: Unique approach to flexible working.
- Compensation: Competitive compensation package & benefits programme aligned to your location.
- Growth: Opportunities for growth and advancement in a forward-thinking and dynamic organization.
Within3 is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We encourage applications from all backgrounds and experiences.
Benefits Extracted with AI
- Fully remote home-based flexible working
- MacBook Pro and monthly communication allowance
- Competitive compensation package & benefits programme
- Growth & advancement opportunities
- Diverse and inclusive work environment
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