Overview
On Site
Depends on Experience
Contract - W2
Contract - 6 Month(s)
Skills
Data engineering
consumer finance
consumer loans
collections
servicing
optional product sales
insurance sales
mathematics
statistics
computer science
data science
Snowflake
Java
Scala
Python
C#
HDFS
YARN
Hive
Spark
Kafka
Oozie
Airflow
Amazon Web Services (AWS)
Docker
Kubernetes
SAS
SQL
R
PostgreSQL
Redshift
Greenplum
Job Details
Role: Lead Data Engineer Location: Baltimore, MD | Evansville, IN | Irving, TX (Hybrid Onsite Role) Duration: Long-term Contract
Job Description:
As a Software Engineer Lead - 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.
Required Skills:
Job Description:
As a Software Engineer Lead - 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.
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 (e.g. SAS, SQL, R, Python)
- Database technologies (e.g. PostgreSQL, 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.