Data Engineer

Design, build, and maintain large-scale data processing systems and architectures that support AI initiatives.
Develop and implement data pipelines and ETL processes to ingest, transform, and load data from various sources.
Design and optimize databases and data storage solutions for high performance and scalability.
Collaborate with cross-functional teams to understand data requirements and ensure data quality and integrity.
Implement data governance and data security measures to protect sensitive data.
Monitor and troubleshoot data infrastructure and pipeline issues in a timely manner.
Stay up-to-date with the latest trends and technologies in data engineering and recommend improvements to enhance the company’s data capabilities.

Requirements

Proven experience as a Data Engineer or similar role, preferably in a software or technology-driven company.
In-depth knowledge of data modeling, data warehousing, and database design principles.
Strong programming skills in Python, SQL, and other relevant languages.
Experience with relational and NoSQL databases, such as PostgreSQL, MySQL, MongoDB
Proficiency in data integration and ETL tools, such as Apache Kafka, Apache Airflow, or Informatica.
Familiarity with big data processing frameworks, such as Hadoop, Spark, or Flink.
Knowledge of cloud platforms, such as AWS, Azure, or GCP, and experience with data storage and processing services in the cloud.
Understanding of data governance, data privacy, and data security best practices.
Strong problem-solving and troubleshooting skills, with a focus on data quality and system performance.
Excellent communication and collaboration skills to work effectively with cross-functional teams.

Benefits

Health Care Plan (Medical, Dental & Vision)
Retirement Plan (401k, IRA)
Life Insurance
Unlimited Paid Time Off
9 paid Holidays
Family Leave
Work From Home
Free Food & Snacks (for those who are in Orlando, FL)
Wellness Resources