Software Engineer- Data Engineering (Remote from Ukraine)

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field. 7+ years of progressive experience in data or software engineering, building complex data systems. Advanced programming skills in Python and SQL; experience with orchestration/streaming frameworks such as Temporal, Dagster, Airflow, Spark, or Kafka. Strong knowledge of relational and NoSQL databases (Postgres, MySQL, MongoDB, ElasticSearch, Cassandra). Experience with cloud computing and data warehousing platforms, preferably Databricks and AWS. Familiarity with ML feature stores and productionizing ML pipelines is a plus. Strong analytical skills, attention to data quality, and experience with both OLTP and OLAP systems. Experience mentoring engineers and providing technical and architectural guidance.

Design, implement, and maintain scalable ETL/ELT pipelines using Python, SQL, and modern orchestration frameworks. Build and optimize data models and schemas for cloud warehouses and relational databases, supporting AI and analytics workflows. Develop and operate distributed, real-time data systems for high-throughput ingestion and processing. Collaborate with cross-functional teams including AI, engineering, and product to deliver high-quality datasets and robust data products. Lead large-scale data initiatives from planning through execution, ensuring performance, cost efficiency, and reliability. Mentor and provide architectural guidance to other engineers, promoting best practices in data engineering and pipeline development. Support testing, debugging, and QA processes to ensure system stability and data integrity.