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.
