Lead Software Engineer

One Main Financial is a leading financial services company that provides personalized loan solutions to individuals across the United States. Our mission is to help our customers achieve their financial goals by offering flexible and responsible lending options. As we continue to grow, we are seeking a talented and motivated Software Engineer - Lead to join our team and lead Communications platform projects.

As a Software Engineer Lead at OneMain Financial, you will play a critical role in steering the team towards the right solutions in the disciplines of data engineering, API development, and surround technologies. The ideal candidate will have a strong background in software engineering, preferably in contact center solutions, and will be highly skilled in people, project, and stakeholder management.

The Lead Software/Data Engineer will support the development of the customer-centric strategy to increase automation and the use of data and analytics throughout the customer journeys. The candidate will be responsible for identifying relevant data and utilizing engineering tools, technologies, and processes to develop continuous, data-driven, and automated customer communications across marketing and servicing towards omni-channel personalized customer experience vision and outcomes.

1. Partner with peers and leaders across organizational boundaries, communicating effectively with people throughout the organization.
2. Establish credibility as an engineer, coach, and leader, driving collaboration with architects, principal engineers, and other technical experts to foster technical innovation and the use of advanced techniques and technologies (e.g., process automation, advanced engineering practices) to enhance business value and reduce operational burden.
3. Create and manage cloud resources in AWS.
4. Data ingestion from different data sources which exposes data using different technologies, such as RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies.
5. Data processing/transformation using various technologies such as Spark and Cloud Services. Understand your part of business logic and implement it using the language supported by the base data platform.
6. Develop automated data quality checks to ensure the right data enters the platform and verify the results of the calculations.
7. Develop an infrastructure to collect, transform, combine, and publish/distribute customer data.
8. Define process improvement opportunities to optimize data collection, insights, and displays.
9. Ensure data and results are accessible, scalable, efficient, accurate, complete, and flexible.
10. Identify and interpret trends and patterns from complex data sets.
11. Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders.
12. Be a key participant in regular Scrum ceremonies with the agile teams.
13. Proficient at developing queries, writing reports, and presenting findings.
14. Mentor junior members and bring best industry practices.

1. 5-7+ years’ experience as a data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales).
2. Strong background in math, statistics, computer science, data science, or related discipline.
3. Advanced knowledge of one of the following languages: Snowflake, Java, Scala, Python, C#.
4. Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake.
5. Proficient with data mining/programming tools (e.g., SAS, SQL, R, Python).
6. Database technologies (e.g., PostgreSQL, Redshift, Snowflake, and Greenplum).
7. Comfortable learning about and deploying new technologies and tools.
8. Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines.
9. Good written and oral communication skills and ability to present results to non-technical audiences.
10. Knowledge of business intelligence and analytical tools, technologies, and techniques.
11. Familiarity and experience in the following is a plus:
12. AWS certification.
13. Spark Streaming.
14. Kafka Streaming / Kafka Connect.
15. ELK Stack.
16. CI/CD: Jenkins, GitLab, Jira, Confluence, and other related tools.

1. Direct experience and proficiency with Amazon Web Services: VPC, S3, CloudFront, EC2, Lambda, API Gateway, SNS, SQS, Kinesis, Active MQ, Step Functions, Elastic/Open Search.
2. Prior experience within financial services.
3. Master’s in Computer Science, Information Systems preferred.

OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.