Remote Lead Data Engineer

Global Channel Management, Inc; Dallas (TX); Remote; USD 120,000 - 150,000; Full time

Job summary

A leading data solutions company is seeking a Remote Lead Data Engineer with over 7 years of experience in consumer finance or equivalent fields. This role involves managing AWS cloud resources and processing data using advanced technologies such as Spark and Kafka. The ideal candidate will have a strong background in math and statistics, along with proficiency in programming languages like Python and knowledge of Big Data tools. This position offers flexibility and the opportunity to work with cutting-edge technology.

Qualifications

• 7+ years experience as data engineer in consumer finance or equivalent industry.
• Production experience with technologies like HDFS, YARN, Hive, Spark, and Kafka.
• Comfortable learning about new technologies and tools.

Responsibilities

• Create and manage cloud resources in AWS.
• Data ingestion from various sources and process using Big Data technologies.
• Develop automated data quality checks.

Skills

Data mining/programming tools

Database technologies

Data visualization tools

Education

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

Tools

Java

Scala

Python

C#

AWS

Docker

Kubernetes

Snowflake

Job description

Qualifications

Remote Lead Data Engineer needs 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 in one of the following languages: 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, Greenplum)
• Data visualization tools (e.g., Tableau, Looker, MicroStrategy)

Comfortable learning about and deploying new technologies and tools.

Organizational skills and 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.

Additional desired experience:

• AWS certification
• Spark Streaming
• Kafka Streaming / Kafka Connect
• ELK Stack
• CI/CD: Jenkins, GitLab, Jira, Confluence and other related tools

Responsibilities

• Create and manage cloud resources in AWS.
• Data ingestion from various data sources (RDBMS, REST HTTP API, flat files, streams, time‑series data) and implement ingestion and processing using Big Data technologies.
• Data processing and transformation using technologies such as Spark and cloud services.
• Develop automated data quality checks to ensure correct data enters the platform and verify calculation results.