Data Operations Engineer

Purpose Financial•Greenville, SC

About The Position

Purpose Financial, Inc. is an innovative consumer financial services company that offers a diverse suite of credit products, promoting financial inclusion and meeting consumers wherever they are. Through its brands, the company is committed to helping customers achieve their version of financial stability in the moment and in the future. Since 1997, Purpose Financial has been a pioneer in the consumer credit and financial services market offering money solutions in over 800 storefronts locations and online lending. Providing services in over 23 states, Purpose Financial employs over 2,500 team members. At Purpose Financial we are always on the lookout for motivated individuals who share in our values of mutual respect to join our team of outstanding professionals. We’re looking for a skilled Data Operations Engineer to join our growing data team. This position reports to the Manager of Data Operations and is responsible for ensuring the reliability, scalability, and performance of our data pipelines and platforms. You’ll work closely with data engineering, analytics, and infrastructure teams to support mission‑critical data workflows, with a strong focus on Snowflake, Kafka, and modern data‑ops best practices.

Requirements

5+ years in data operations, data engineering, or similar technical role
Hands‑on experience with Snowflake (query optimization, warehouse tuning, RBAC, data sharing)
Strong experience with Kafka (producers/consumers, schema registry, monitoring, troubleshooting)
Proficiency in SQL and at least one scripting language (Python preferred)
Experience with cloud platforms (AWS preferred, Azure, or GCP)
Familiarity with orchestration tools (Airflow, dbt, etc.)
Strong understanding of data modeling, ETL/ELT concepts, and data lifecycle management
Excellent written and verbal communications skills; adaptability and flexibility to changing environment; and comfortable working in a dynamic, high volume, fast-paced environment.
Ability to understand and ensure compliance with policies, procedures, and laws governing our industry/business and products.

Nice To Haves

Experience with Snowflake features such as Streams, Tasks, and Snowpipe
Knowledge of Kafka Connect, Kafka Streams, or Confluent Platform
Experience with writing connectors, both producers and consumers
Exposure to observability tools (Datadog, Prometheus, Grafana, Splunk)
Background in DevOps or SRE practices applied to data systems
Experience working in fast‑paced, cloud‑native environments

Responsibilities

Monitor, maintain, and optimize data pipelines across Snowflake, Kafka, and related systems
Troubleshoot and resolve data ingestion, transformation, and delivery issues
Ensure high availability and reliability of streaming and batch data processes
Manage Snowflake environments including warehouses, databases, roles, and resource optimization
Operate and tune Kafka clusters, topics, partitions, and consumer groups
Implement data quality checks, validation rules, and operational alerts
Build automation for deployment, monitoring, and recovery of data workflows
Develop scripts and tools (Python, SQL, Bash, etc.) to streamline operations
Contribute to CI/CD pipelines for data infrastructure
Partner with data engineers to improve pipeline design and performance
Work with analytics teams to ensure timely and accurate data delivery
Support data governance, security, and compliance initiatives
Understand, adhere to, and enforce all corporate policies.

Benefits

Competitive Wages
Health/Life Benefits
Health Savings Account plus Employer Seed
401(k) Savings Plan with Company Match
Paid Parental Leave
Company Paid Holidays
Paid Time Off including Volunteer Time
Tuition Reimbursement
Business Casual Environment
Rewards & Recognition Program
Employee Assistance Program
Office in downtown Greenville that offers free parking, onsite gym, free snacks/drinks