Data Engineer- Specialist- Financial Services
Indexed description
You will lead a team and create technology products that help people have the best healthcare experience they have ever had. We are looking for a leader with a strong passion for both technology and people, who is motivated to build outstanding products.
The ideal candidate brings deep technical expertise across multiple technologies, a strong track record of delivery, and proven experience in building and leading high‑performance engineering teams.
Responsibilities:
- Design, implement, and test data pipelines, ETL/ELT processes, and data storage solutions
- Build and maintain scalable, reliable, and high-performance pipelines for structured and unstructured data
- Work with big data technologies and distributed systems to process and transform large datasets
- Collaborate with data modelers, data scientists, and solution architects to ensure efficient data flows and optimal storage
- Partner with data scientists and analysts to deliver clean, well-structured, and accessible data
- Coordinate with integration teams and data source owners for smooth ingestion of data from multiple systems
- Automate provisioning, deployments, and environment management for data platforms
- Create and support APIs and data services for internal and external consumers
- Ensure solutions meet requirements for scalability, performance, data quality, and governance
- Hands-on experience with ETL/ELT design and implementation
- Familiarity with big data ecosystems (e.g., Spark, Hadoop, Kafka, Flink)
- Experience with one or more cloud platforms (Azure, AWS, GCP) and modern data engineering tools (e.g., Databricks, Snowflake, BigQuery, Synapse)
- Proficiency in programming languages such as Python, Java
- Solid understanding of SQL and experience with both relational and non-relational databases
- Experience with data modeling, schema design, and data partitioning strategies
- Knowledge of workflow orchestration tools (e.g., Airflow, Data Factory) is a plus
- Experience with version control (e.g., Git) and CI/CD practices
- Familiarity with Agile development methodologies and test management basics
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
- 7+ years of professional experience in data engineering or related roles
- Strong teamwork, communication, analytical thinking, and problem-solving skills
- Fluent in English, both spoken and written
- Curiosity and drive to continuously learn, adapt, and share knowledge
Besides an exciting job in a tremendous team, here s what you can expect:
- A fast-paced tech environment
- Continuous growth & learning
- Open feedback culture
- Room for own initiative & ideas
- Transparency about results & strategy
- Recognition & reward for hard work
- Working with a flexible schedule
- Medical subscription
- Meal tickets
- Extra vacation days - starting with 25 vacation days
- Many others perks
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search