🌎 Akvelon is a known USA company, with offices in places like Seattle, Mexico, Ukraine, Poland, and Serbia. Our company is an official vendor of Microsoft and Google. Our clients also include Amazon, Evernote, Intel, HP, Reddit, Pinterest, AT&T, T-Mobile, Starbucks, and LinkedIn. To work with Akvelon means to be connected with the best and brightest engineering teams from around the globe and working with an actual technology stack building Enterprise, CRM, LOB, Cloud, AI and Machine Learning, Cross-Platform, Mobile, and other types of applications customized to client’s needs and processes.
About the role: we are seeking a skilled Python / Data Engineer with a strong background in object-oriented software development and data engineering. In this role, you will build and maintain a core library for the Data Science organization, integrating with key technologies like BigQuery (BQ), Airflow, and Reticle. You will also focus on performance optimization and collaborate with a diverse team to drive impactful solutions.
Requirements:
- 4+ years of experience in object-oriented software development, with a focus on Python.
- Hands-on experience with Airflow, BigQuery SQL, and Python libraries like Pandas.
- Familiarity with data engineering tools and frameworks, including BQ Terraform.
- Proven experience in creating and maintaining software libraries.
- Strong understanding of performance optimization techniques.
- Ability to work autonomously and take initiative in defining goals and solutions.
Nice-to-Have Qualifications:
- Experience in data science and machine learning domains.
- Strong communication and leadership skills to nurture a community of contributors.
- Ability to translate complex data engineering challenges into practical solutions.
Responsibilities:
- Build and maintain foundational libraries for the Data Science organization.
- Develop new features and enhance existing functionalities to support data engineering workflows.
- Ensure seamless integration with BigQuery (BQ), Airflow, and Reticle.
- Optimize the performance of libraries to handle large-scale data efficiently.
- Play a key role in defining the long-term roadmap and ensuring the library’s longevity.
- Foster and lead a community of contributors within the Data Science organization.
- Collaborate with cross-functional teams to deliver high-leverage, data-driven insights.
- Act as a developer, tech lead, and product manager, contributing to strategic initiatives.
Working conditions and benefits:
- Paid vacation, sick leave (without sickness list)
- Official state holidays — 11 days considered public holidays
- Professional growth while attending challenging projects and the possibility to switch your role, master new technologies and skills with company support
- Flexible working schedule: 8 hours per day, 40 hours per week
- Personal Career Development Plan (CDP)
- Employee support program (Discount, Care, Health, Legal compensation)
- Paid external training, conferences, and professional certification that meets the company’s business goals
- Internal workshops & seminars
- Corporate library (Paper/E-books) and internal English classes.
Looking for an exciting career? Apply now and become part of our success story 🚀
