Core Responsibilities: Building and maintaining APIs: . Backend Data Engineers create the interfaces that allow front-end applications to interact with data and services. Designing and managing databases: . They work with both relational (SQL) and NoSQL databases, optimizing for performance and scalability. Developing data pipelines: . They design and implement systems for ingesting, transforming, and storing large volumes of data. Ensuring data quality and reliability: . They focus on data validation, cleaning, and monitoring to maintain data accuracy and consistency. Working with big data technologies: . They often utilize tools like Spark, Hadoop, and Kafka for processing and analyzing large datasets. Collaborating with other teams: . They work closely with front-end developers, data scientists, and other engineers to deliver data-powered solutions. Key Skills: Strong programming skills: Proficiency in languages like Python, Java, or Scala is essential. Database expertise: Deep understanding of SQL and NoSQL databases, including query optimization. Experience with data processing frameworks: Familiarity with tools like Spark, Hadoop, and Kafka for big data processing. Cloud computing knowledge: Experience with cloud platforms like AWS, Azure, or Google Cloud for data storage and processing. Understanding of DevOps principles: Familiarity with CI/CD pipelines and automation for data pipelines. Problem-solving and analytical skills: The ability to troubleshoot complex data issues and design scalable solutions. Communication and collaboration skills: The ability to work effectively in a team and communicate technical concepts to both technical and non-technical audiences. Job Types: Full-time, Contract Pay: $86,311.33 - $103,944.82 per year Work Location: Remote