Remote Senior Data Engineer

Description:

• LocalStack is a fast-growing Series A startup focused on revolutionizing cloud development processes and enhancing dev and test feedback loops.
• The company has successfully closed a $25 million funding round in Q4 2024, led by Notable Capital, CRV, and Heavybit.
• LocalStack provides a high-fidelity emulator and local cloud development platform, allowing developers to build and test cloud applications and data pipelines on their local machines within a lightweight cloud sandbox running in Docker.
• The mission of LocalStack is to empower developers to rapidly build and test their cloud applications, improving the development experience and saving time and resources.
• The company has a large open-source community with over 57,000 stars on GitHub, 100,000 active users worldwide, and over 290 million downloads to date.
• LocalStack serves a diverse customer base, ranging from small and medium-sized businesses to Global Fortune 500 companies.
• The team is globally distributed, with headquarters in Zurich, Switzerland, a main engineering office in Vienna, Austria, and remote team members from various countries including the US, France, the UK, Canada, and Spain.
• The position is for a Senior Data Engineer who will redefine and optimize data processes at LocalStack.

Requirements:

• The candidate must maintain, monitor, and optimize data ingestion pipelines for the current data platform.
• The role involves leading the development of the future data platform based on evolving business needs.
• The candidate will shape the data team roadmap and contribute to long-term strategic planning.
• Full ownership of data ingestion from external sources is required, ensuring smooth functionality.
• The candidate must design and implement a robust data modeling and data lake solution architecture.
• Providing technical leadership and mentorship to the data engineering team is essential.
• Collaboration with engineering teams to define and refine ingestion pipeline requirements is necessary.
• The candidate will work with stakeholders to gather business questions and data needs.
• Experience working with non-technical stakeholders to gather requirements is expected.
• The candidate should have the ability to define technical initiatives required to satisfy business requirements.
• Excellent knowledge of Python is required.
• Experience in designing real-time data ingestion solutions with massive volumes of data is necessary.
• Preferred experience includes working with AWS services commonly used in Data Engineering, such as S3, ECS, Glue, and EMR.
• Experience with relational databases, data warehouses, data orchestration and ingestion tools, SQL, and BI tools is required.
• Preferred experience in working remotely or in asynchronous settings is a plus.
• The candidate should have experience owning initiatives at the individual contributor level.
• Experience providing guidance to junior engineers is also required.

Benefits:

• The position is fully remote, allowing for flexibility in work location.
• A competitive salary is offered to the successful candidate.
• Opportunities for professional development and training are available.
• The work environment is dynamic and collaborative, fostering teamwork and innovation.
• Flexible work arrangements are provided to accommodate different working styles and needs.