Data Engineer / Senior Data Engineer
ArcadiaFull Time
Senior (5 to 8 years)
Candidates must possess a Bachelor's Degree in Computer Science, MIS, Engineering, or a related field, with over 5 years of experience in data engineering, specifically in building and maintaining data pipelines and ELT processes. Strong proficiency in SQL, Python, Snowflake, Snowpark, cloud platforms (AWS or Azure), and orchestration tools like Airflow is required, along with knowledge of Investment Management and financial data. Excellent communication skills for cross-functional collaboration and a commitment to learning new technologies are also essential.
The Senior Data Engineer will design, develop, and maintain scalable data pipelines and ELT processes, parse and analyze datasets for business use cases, and manage data storage solutions. Responsibilities include performing data reconciliations, validations, and quality checks, developing and modifying systems, supporting system acceptance testing, and providing technical and functional recommendations. The role also involves leading junior data engineers, fostering continuous learning, and providing guidance for professional development.
Provides financial services and retirement solutions
Voya Financial offers a range of financial services, including retirement plans, investment management, and insurance products, to help individuals and businesses achieve financial wellness. Their services cater to individuals seeking retirement planning, employers looking to enhance employee benefits, and institutions needing tailored investment management. Voya stands out from competitors through its commitment to inclusiveness and corporate responsibility, which helps attract clients and talent. The company's goal is to build long-term relationships with clients, ensuring they achieve financial confidence and a fulfilling life.