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Senior Data Engineer (Big Data & ML)

Remote · Full-time · Senior

What is your new project?

Domain: Web data

Location: Florida (USA)

Company size: 11-50 employees

Founded in: 2020

What makes this project exciting?

Our client is at the forefront of data intelligence, providing 800M+ B2B profiles to fuel SaaS, AI/ML, and Sales Tech platforms.

Their data solutions power industry leaders in Talent and Sales Intelligence, ensuring they stay ahead with the freshest and most complete datasets.

What makes you a great fit

  • 5+ years of experience in software development, focusing on data engineering & big data processing.
  •  Strong understanding of distributed systems and data processing frameworks (e.g., Spark, Flink, Kafka).
  • Experience with ETL processes, data modeling, and cloud computing platforms.
  • Familiarity with ML/AI infrastructure and MLOps principles.
  • Hands-on experience with Kubernetes and cloud-based data solutions.
  • Solid programming skills in Python, Scala, or Java.

Nice to Have:

  • Experience with Hadoop, Trino, Hive, or other big data tools.
  • Knowledge of data visualization tools (e.g., Tableau, Power BI).
  • Hands-on experience in deploying ML models and maintaining ML pipelines.
  • Contributions to open-source data engineering projects.

Your day-to-day in this position

  • Design, build, and maintain scalable and reliable big data pipelines (batch & streaming).
  • Optimize existing pipelines for performance, cost-effectiveness, and reliability.
  • Implement data quality checks and monitoring to ensure accuracy and integrity.
  • Collaborate with data scientists, analysts, and engineers to define and implement data solutions.
  • Contribute to the development of our ML/AI platforms and MLOps infrastructure.
  • Stay up to date with emerging big data and ML technologies to enhance our systems.
  • Mentor junior engineers and contribute to best practices in data engineering.

Why work with us?

  • People-oriented management without bureaucracy.
  • The friendly climate inside the company is confirmed by the frequent comeback of previous employees.
  • Paid time off (18 working days per year, plus all national holidays and 9 sick days).
  • Flexible working schedule.
  • Full financial and legal support for private entrepreneurs.
  • Free English classes with native speakers or with Ukrainian teachers (for your choice).
  • Dedicated HR.

Our next steps

✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Client's technical interview — ✅ Final Interview — ✅ Offer

Anastasia Herasymenko・Recruiter
live:.cid.a2f8c254615ddbba
+380 95 816 36 20