Lead Software Engineer

About One Main Financial :

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 an Software Engineer Lead - at OneMain Financial, you will play a critical role in steering 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 contact center solutions, will be highly skilled in people, project and stakeholders’ 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

Core Responsibilities

Partner with peers and leaders across organizational boundaries, communicating effectively with people throughout the organization.

Establish credibility as an engineer, coach and leader in turn driving collaboration with architects, principal engineers, and other technical experts to foster technical innovation and the use of advanced techniques and technologies (, process automation, advanced engineering practices, etc.) to enhance business value and reduce operational burden.

Create and manage cloud resources in AWS

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

Data processing / transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform

Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations

Develop an infrastructure to collect, transform, combine and publish / distribute customer data.

Define process improvement opportunities to optimize data collection, insights and displays.

Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible

Identify and interpret trends and patterns from complex data sets

Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders.

Key participant in regular Scrum ceremonies with the agile teams

Proficient at developing queries, writing reports and presenting findings

Mentor junior members and bring best industry practices

Required Skills

5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales)

Strong background in math, statistics, computer science, data science or related discipline

Advanced knowledge one of language : Snowflake,Java, Scala, Python, C#

Production experience with : HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake

Proficient with

Data mining / programming tools (, SQL, R, Python)

Database technologies (, Redshift, Snowflake. and Greenplum)

Comfortable learning about and deploying new technologies and tools.

Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines.

Good written and oral communication skills and ability to present results to non-technical audiences

Knowledge of business intelligence and analytical tools, technologies and techniques.

Familiarity and experience in the following is a plus :

AWS certification

Spark Streaming

Kafka Streaming / Kafka Connect

ELK Stack

Cassandra / MongoDB

CI / CD : Jenkins, GitLab, Jira, Confluence other related tools

Preferred :

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

Prior experience within financial services

Master’s in Computer science, Information Systems preferred.