Remote Senior Data Engineer

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.

Benefits:

• 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.