Data Engineer Middle/Senior
We are looking for a talented Middle / Senior Data Engineer to join our dynamic team and work on exciting, data-driven projects! You will collaborate on cutting-edge solutions for a leading healthcare company, consolidating regional CRM systems into a single global platform that supports over 20,000 sales and support professionals. This initiative optimizes data management, enhances system performance, and streamlines operations using advanced technologies. If you're passionate about building scalable data solutions and driving impactful results, we'd love to hear from you!

Job Description
This role is ideal for an experienced Data Engineer who enjoys designing and implementing data pipelines and working closely with cross-functional teams to deliver robust, scalable data platforms.
Requirements:
- Bachelor’s degree in Computer Science, Information Technology, or a related field;
- 3+ years of experience in Data Engineering;
- At least 1 year of hands-on experience developing data pipelines using AWS Lambda, AWS Glue, AWS Step Functions, PySpark, and Python;
- Strong proficiency in SQL;
- At least 1 year of hands-on experience with Redshift;
- Familiarity with data lake environments, including handling both structured and unstructured data;
- Knowledge of data warehouse, data lake, and enterprise big data platforms;
- Experience with DBT is a plus;
- Upper-Intermediate English skills (verbal and written);
- Ability to excel in a diverse, international, multicultural environment;
- Strong communication and persuasion skills;
- Capability to effectively engage with both technical and business stakeholders;
- Proven ability to work independently and collaboratively as part of an international project team.
Responsibilities:
- Plan, build, and implement data solutions based on the AWS Stack;
- Groom and estimate user requirements and identify new features;
- Analyze data sources, design and develop pipelines to ingest data using AWS Lambda, Step Functions, and Glue;
- Design and create ETL processes to supply the data warehouse;
- Preprocess structured and unstructured data, create queries in databases;
- Establish and maintain technical specification documentation;
- Create data models using DBT.
What We Offer:
- Competitive salary;
- 100% remote opportunity;
- Opportunities for professional growth and advancement;
- A collaborative and innovative work environment;
- 20 days of paid vacation, 15 paid days of sick leave with a doctor’s note, and 5 days of paid sick leave without a doctor’s note;
- Medical insurance coverage for employees, with optional family insurance at a corporate rate;
- Support for participation in professional development opportunities (webinars, conferences, trainings, etc.);
- Regular team-building activities and bi-annual company-wide events;
- Flexible work environments including in-office, remote, or hybrid options based on employee preference and manager approval.
Apply now
Data Engineer Middle/Senior
