Senior Data Engineer - AWS/Snowflake & Data Pipelines

Advance America, Cash Advance Centers, Inc.; Greenville (SC); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive wages

401(k) savings plan with company match

Company paid holidays

Tuition reimbursement

Business casual environment

Rewards & recognition program

Employee assistance program

Downtown Greenville office with free停车

Job summary

Purpose Financial is seeking a talented and motivated Sr Data Engineer to join our data engineering Platform Team in Greenville, SC. You will design, build, and maintain scalable data pipelines and data services to enable enterprise-wide data analytics and decisioning.

The role requires expert knowledge of AWS, Snowflake, and dbt, with experience in Spark, Kafka, and containerization. You will mentor junior engineers and collaborate with cross-functional teams.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 10+ years of experience in data engineering, data pipelines, and data services.
• Proficiency in Python, SQL, Spark, or Java, with data manipulation, transformation, and analysis.
• Expert level experience with cloud-based data platforms and services such as AWS, Snowflake and dbt.
• Experience with distributed computing frameworks such as Apache Spark, Kafka.
• Proficiency in database systems, data warehousing, data patterns/architectures, and SQL query optimizations.
• Familiarity with Docker or Kubernetes.
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• Strong communication, interpersonal and teamwork skills.

Responsibilities

• Design, build, and maintain scalable data pipelines to ingest, transform, and load data into data lake and warehouse environments.
• Implement data integration solutions from databases, APIs, streaming platforms, and 3rd party services (Snowpipe, SnowPark, Dynamo, Kafka).
• Optimize data processing workflows for performance, efficiency, and scalability using distributed frameworks (FiveTran, dbt, Snowpark, Snowpipe).
• Collaborate with IT and business stakeholders to understand data requirements and develop data models.
• Partner with teams to improve design and building of metrics for analytics capabilities.
• Implement data quality checks, validation processes, and error handling across the data lifecycle.
• Support data schemas and metadata repositories for governance documentation of data lineage and dependencies.
• Support data governance policies and standards to ensure regulatory compliance.
• Apply best practices for AWS and Snowflake architectures, data pipelines and models.
• Monitor and optimize data systems and infrastructure using tools like Prometheus.
• Stay current with emerging data engineering technologies and cloud architectures.
• Coach and mentor junior data engineers.

Skills

Python

SQL

Spark

Java

AWS

Snowflake

dbt

Kafka

Docker

Kubernetes

Education

Bachelor’s or Master’s degree in Computer Science/Engineering

Tools

Prometheus

Docker

Kubernetes

Snowflake

dbt

Job description

Purpose Financial is seeking a talented and motivated Sr Data Engineer to join our data engineering Platform Team in Greenville, SC. You will design, build, and maintain scalable data pipelines and data services to enable enterprise-wide data analytics and decisioning.

The role requires expert knowledge of AWS, Snowflake, and dbt, with experience in Spark, Kafka, and containerization. You will mentor junior engineers and collaborate with cross-functional teams.