Remote Senior Data Engineer

Description:

• Worth AI is seeking a talented and experienced Senior Data Engineer to join their innovative team.
• The company aims to revolutionize decision-making with artificial intelligence while fostering collaboration and adaptability.
• The Senior Data Engineer will lead the design and development of data services and platforms that power AI-driven products.
• Responsibilities include creating well-structured, validated APIs and event-driven pipelines for scalable, secure, and maintainable data workflows.
• This role is backend-heavy and ideal for engineers who thrive on clean architecture, automation, and cross-functional delivery.
• Key responsibilities include designing and building production-grade FastAPI services, maintaining asynchronous event-driven pipelines using Apache Kafka, and defining structured data contracts using Pydantic and OpenAPI standards.
• The engineer will develop containerized data services with Docker, optimize analytical models in Amazon Redshift, and collaborate with data scientists and ML engineers.
• The role also involves owning the lifecycle of data services, maintaining data privacy standards, and designing large-scale data processing systems.

Requirements:

• Candidates must have 7+ years of professional experience in backend-focused data engineering or platform development.
• Strong proficiency in Python is required, with hands-on experience using FastAPI, Pydantic, and asynchronous programming patterns.
• A deep understanding of event-driven architectures and experience with Kafka is essential.
• Experience designing and deploying containerized services with Docker is necessary, with Kubernetes or Fargate experience being a plus.
• Proficiency in SQL and experience with modern cloud data warehouses, preferably Amazon Redshift, is required.
• Familiarity with cloud services (preferably AWS) and CI/CD practices is necessary.
• Candidates should have experience integrating third-party APIs and working with versioned schema contracts.
• Strong communication and collaboration skills are essential, especially in cross-functional and agile teams.
• Experience working with ML engineers to operationalize models is required.
• In-depth knowledge of data modeling, data warehousing, and database design principles is necessary.
• Candidates should have experience with relational and NoSQL databases, such as PostgreSQL, MySQL, and MongoDB.
• Proficiency in data integration and ETL tools, such as Apache Kafka and Apache Airflow, is required.
• Familiarity with big data processing frameworks, such as Hadoop or Spark, is a plus.
• Knowledge of data governance, privacy, and security best practices is essential.
• Strong problem-solving and troubleshooting skills, with a focus on data quality and system performance, are required.
• Excellent communication skills to work effectively with cross-functional teams are necessary.
• Prior collaborative work with data scientists or machine learning professionals is preferred.
• Candidates should be comfortable with third-party API documentation and integration.

Benefits:

• Worth AI offers a comprehensive Health Care Plan that includes Medical, Dental, and Vision coverage.
• A Retirement Plan, including 401k and IRA options, is provided.
• Life Insurance is included as part of the benefits package.
• Employees enjoy Unlimited Paid Time Off to promote work-life balance.
• The company observes 9 paid Holidays throughout the year.
• Family Leave is available to support employees during important life events.
• The option to Work From Home is offered to enhance flexibility.
• Employees have access to Free Food & Snacks, including an Industrious Co-working Membership.
• Wellness Resources are provided to support employee health and well-being.