Description:

Worth AI is seeking a talented and experienced Senior Data Engineer to join their innovative team in Orlando, FL.
The company is focused on revolutionizing decision-making through artificial intelligence while promoting collaboration and adaptability.
The Senior Data Engineer will design and implement robust data architectures and pipelines that support AI initiatives.
This role involves managing data projects and collaborating closely with data scientists and software engineers to ensure data quality and flow.
Responsibilities include designing, building, coding, and maintaining large-scale data processing systems and architectures.
The engineer will develop and implement data pipelines and ETL processes to ingest, transform, and load data from various sources.
The position requires optimizing databases and data storage solutions for high performance and scalability.
The engineer will also implement data governance and security measures to protect sensitive data and monitor data infrastructure for issues.
Staying updated with the latest trends in data engineering and recommending improvements to enhance data capabilities is essential.

Requirements:

Candidates must have 7+ years of proven experience as a Senior Data Engineer or in a similar role, preferably in a technology-driven company.
In-depth knowledge of data modeling, data warehousing, and database design principles is required.
Strong programming skills in Python, SQL, and other relevant languages are necessary.
Experience with relational and NoSQL databases, such as PostgreSQL, MySQL, and MongoDB, is essential.
Proficiency in data integration and ETL tools, such as Apache Kafka, Apache Airflow, or Informatica, is required.
Familiarity with big data processing frameworks, such as Hadoop, Spark, or Flink, is important.
Knowledge of cloud platforms like AWS, Azure, or GCP, and experience with data storage and processing services in the cloud is needed.
Understanding of data governance, data privacy, and data security best practices is crucial.
Strong problem-solving and troubleshooting skills, with a focus on data quality and system performance, are necessary.
Excellent communication and collaboration skills are required to work effectively with cross-functional teams.
Prior experience collaborating with data scientists or machine learning professionals regarding data sourcing, processing, and scaling is essential.
Candidates should be comfortable reviewing documentation of third-party APIs and identifying best practices for data integration.

The position offers a comprehensive health care plan, including 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 and 9 paid holidays.
Family leave is available for employees.
The company supports remote work options.
Employees have access to free food and snacks, along with an Industrious co-working membership.
Wellness resources are provided to support employee health and well-being.