
Staff Software Engineer – DSM Team
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Spain, +1 more country.
• Design, implement, scale, and maintain backend systems that handle large volumes of data.
• Engage in event-driven and API-based integrations.
• Assist in transitioning towards a more domain-centric and scalable architecture.
• Develop and enhance software for performance-sensitive workflows.
• Analyze technical challenges and suggest solutions collaboratively with the team.
• Work alongside data science and engineering colleagues.
• Operate independently to ensure timely and high-quality deliverables.
• Mentor junior and mid-level engineers, which constitutes about 20% of the role.
• Collaborate with Outcomes, Methodology & Recruitment teams, as well as product and data science teams.
• Contribute to the development of the next generation of Cint research technology products.
• Over 10 years of experience in backend software engineering.
• Strong technical expertise.
• Willingness or ability to adapt to programming in Java.
• Deep understanding of algorithms, data structures, Big O notation, and event-driven architecture.
• Familiarity with Spark, Apache ecosystem tools, Delta Lake, Parquet, and Kafka.
• Proficiency in Python and/or PySpark.
• Experience in building or maintaining complex, real-time, high-volume systems with high throughput and low latency.
• Knowledge of Docker, SQL, and NoSQL databases.
• Experience with REST APIs and event-driven integrations.
• Comfort in performance-oriented, production-critical environments.
• Strong problem-solving abilities and a proactive, collaborative approach to work.
• Effective communication skills with engineers and data science partners.
• Preferred academic background in computer science, computer engineering, or a related field.
• Nice to have: experience with AWS, GCP, or other cloud providers.
• Nice to have: familiarity with Pandas.
• Nice to have: experience with the Spring framework and microservices.
• Nice to have: experience in large-scale data or analytics environments.
• Flexible remote work arrangement.
• Autonomy and the freedom to innovate.
• Collaborative development model.
• Commitment to employee growth and a culture of trust and respect.
• A culture focused on diversity, equity, and inclusion.
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