Data Engineer
Description For Data Engineer
Voya Financial is seeking a Senior Data Engineer to join their Investment Management division. This role offers an opportunity to work with a leading asset management firm with over 40 years of history. The position involves implementing technical aspects of data strategy, developing data pipelines, and providing technical leadership to team members.
The role combines technical expertise with business impact, requiring strong skills in Python, SQL, and modern data technologies like Snowflake. You'll be responsible for designing and maintaining scalable data pipelines, performing data quality checks, and managing data storage solutions. The position offers a hybrid work environment, balancing remote work with in-person collaboration.
Voya offers comprehensive benefits including health insurance, 401(k) with generous matching, tuition reimbursement, and flexible time off. The company maintains a strong focus on work-life balance and professional development. The salary range of $113,250 - $141,560 reflects their commitment to competitive compensation.
The ideal candidate will bring 5+ years of data engineering experience, strong technical skills, and the ability to lead junior engineers. Knowledge of investment management and financial data is crucial. The role presents an excellent opportunity for someone looking to make an impact in financial technology while working for a company that values both technical excellence and professional growth.
Working at Voya means joining a culture focused on customer success, critical thinking, and team collaboration. The company is recognized as a Great Place to Work® and offers a supportive environment for career development. This role is perfect for a senior data engineer who wants to combine technical leadership with business impact in the financial sector.
Responsibilities For Data Engineer
- 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
- Perform data reconciliations, validations, quality checks across various data sources
- Develop new systems and maintain existing systems
- Provide support in system acceptance testing and validation activities
- Analyze project requirements and provide technical recommendations
- Lead junior data engineers and foster continuous learning
Requirements For Data Engineer
- Bachelor's Degree in Computer Science, MIS, Engineering or related field
- 5+ years of experience in data engineering
- Strong proficiency in SQL and relational database design
- Strong proficiency in Python
- Experience with Snowflake and Snowpark
- Experience with AWS or Azure
- Experience with orchestration tools (Airflow, Prefect, or Dagster)
- Knowledge of Investment Management and financial data
- Excellent communication skills
- Commitment to learning new tools/technologies
Benefits For Data Engineer
- Health, dental, vision and life insurance plans
- 401(k) Savings plan with up to 6% company matching
- Voya Retirement Plan – employer paid cash balance retirement plan (4%)
- Tuition reimbursement up to $5,250/year
- 20 days paid time off
- Nine paid company holidays
- Flexible Diversity Celebration Day
- 40 hours paid volunteer time per year
