Data Engineer

Together we fight for everyone’s opportunity for a better financial future.

We will do this together — with customers, partners and colleagues. We will fight for others, not against: We will stand up for and champion everyone’s access to opportunities. The status quo is not good enough … we believe every individual and every community deserves access to financial opportunities. We are determined to support both individuals and communities in reaching a better financial future.  We know that reaching this future depends on our actions today.

Like our Purpose Statement, Voya believes in being bold and committed to action.  We are committed to a work environment where the differences that we are born with — and those we acquire throughout our lives — are understood, valued and intentionally pursued. We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work. Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision.

Are you ready to join a company with a strong purpose and a winning culture? Start your Voyage – Apply Now

Senior data engineer to implement technical aspects of the data strategy to achieve the Investment Management line of business goals. Take a lead role in developing data pipelines and providing guidance to team members working on numerous products and/or developing various forms of technologies.

The Contributions You'll Make:

·       Design, develop, and maintain scalable and efficient data pipeline and ELT processes.

·       Parse, analyze, and understand datasets with a focus on application in business use cases.

·       Manage data storage solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.

·       Perform data reconciliations, validations, quality checks across various data sources and systems and identify enrichment opportunities.

·       Develop new systems and maintain and modify existing systems as required.

·       Provide support in system acceptance testing and validation activities.

·       Analyze project requirements and accordingly provide technical and functional recommendations.

·       Lead junior data engineers, fostering a culture of continuous learning and improvement and providing guidance and support in their professional development.

·       Additional responsibilities, as required.

Minimum Knowledge and Experience:

·       Bachelor’s Degree in Computer Science, MIS, Engineering or a directly related field.

·       5+ years of experience in data engineering, with a strong background in building and maintaining data pipeline and ELT processes to ingest data from external data provider.

·       Strong proficiency in SQL and experience with relational database design.

·       Strong proficiency in Python.

·       Experience with Snowflake and Snowpark.

·       Experience with AWS or Azure.

·       Experience with orchestration tools such as Airflow, Prefect, or Dagster.

·       Knowledge of Investment Management and financial data.

·       Excellent communication skills with the ability to collaborate effectively with cross-functional business and technology groups.