Staff Software Engineer – Data Solutions, Measurement

This is a fully remote position, open to applicants in Spain.

📋 Description

• The ideal candidate will dedicate 20% of their time to mentoring junior and mid-level engineers, while focusing 80% on tackling complex challenges.

• This individual identifies as highly technical and is eager to expand their knowledge and experience daily.

• In this position, you will be responsible for designing, implementing, scaling, and maintaining the code that supports our production systems.

• You will operate independently, ensuring timely and high-quality project delivery.

• Close collaboration will be required with three teams (Outcomes, Methodology & Recruitment) as well as related departments such as product and data science.

• With significant autonomy and the freedom to innovate, you will play a crucial role in world-class research aimed at developing the next generation of Cint products.

• Design, implement, scale, and maintain backend systems that handle substantial volumes of data.

• Engage in event-driven and API-based integrations.

• Contribute to efforts aimed at migrating toward a more domain-oriented and scalable architecture.

• Build and optimize software tailored for performance-sensitive workflows.

• Investigate technical issues and collaborate with the team to propose effective solutions.

• Work closely with data science and engineering colleagues to devise technical solutions.

• Participate in a collaborative development environment where tasks are shared, rather than completed individually.

⛳️ Requirements

• A minimum of 10 years of backend software engineering experience, demonstrating strong technical expertise.

• We embrace technology agnosticism, so you are welcome to transition your primary language (Python, Scala, C/C++, Haskell, Elixir, Go, Ruby, etc.) to Java, which is our core language.

• A solid grasp of algorithms (such as HashTables, Maps, etc.), data structures (including Anomaly Detection, Dynamic Routing, etc.), Big O notation, and architecture (event-driven architecture).

• Familiarity with advanced data processing tools and technologies, including Spark, the Apache ecosystem, Delta Lake, Parquet, Kafka, and Avro.

• Experience with Python and/or PySpark.

• Proven track record in building or maintaining complex, real-time, high-volume systems characterized by high throughput and low latency.

• Proficient with Docker, SQL, and NoSQL databases.

• Experience working with REST APIs and event-driven integrations.

• Comfortable in performance-oriented, production-critical environments that demand high throughput and low latency.

• Strong problem-solving abilities coupled with a proactive and collaborative working style.

• Effective communication skills with engineers and data science partners.

• A degree in computer science, computer engineering, or a related field is preferred.

• Familiarity with cloud services such as AWS, GCP, or other providers.

• Experience with Pandas.

• Knowledge of the Spring framework and microservices.

• Experience in large-scale data or analytics environments.

🏝️ Benefits

• Employees have the flexibility to work remotely.