EP Wealth

EP Wealth

EP Wealth provides comprehensive wealth management services by offering personalized financial planning, tax integration, and estate planning, all tailored to help clients achieve their unique financial goals.

Capital Markets
251-1K
Founded 2004

Description

  • Design, build, test, deploy, and maintain scalable ELT/ETL pipelines into Snowflake.
  • Develop data models, schemas, transformations, and reusable engineering frameworks.
  • Integrate Salesforce, Tamarac, APIs, databases, files, SaaS platforms, custodians, and other enterprise sources.
  • Create orchestration workflows using Windmill and related technologies, including scheduling, retries, monitoring, and alerting.
  • Build secure cloud data solutions using Microsoft Azure services for storage, identity, secrets, networking, monitoring, and automation.
  • Optimize SQL, Python, Snowflake workloads, pipeline performance, reliability, and cost.
  • Implement data validation, reconciliation, testing, lineage, metadata, governance, access controls, and observability.
  • Troubleshoot production data, quality, latency, integrity, and security issues and document operational procedures.
  • Use AI-assisted development tools and evaluate practical Azure and Snowflake AI capabilities.
  • Collaborate with analysts, application teams, architecture, security, compliance, business stakeholders, and external partners; participate in reviews and mentor engineers.

Requirements

  • 6+ years of professional data engineering or related software or data-platform engineering experience.
  • 3+ years of hands-on experience developing production solutions with Snowflake.
  • Production experience designing, operating, monitoring, testing, and optimizing ELT/ETL pipelines.
  • Advanced SQL skills, including complex transformations, data modeling, query tuning, and performance optimization.
  • Strong Python skills for data processing, APIs, integrations, automation, and engineering utilities.
  • Experience with Snowflake architecture, modern orchestration technologies, and enterprise data integrations.
  • Hands-on experience with Microsoft Azure and cloud-based data-platform integrations.
  • Experience with Git, automated testing, CI/CD, and modern software engineering practices.
  • Understanding of data quality, lineage, observability, metadata, security, and role-based access control.
  • Experience with AI-assisted development tools required; Windmill, Salesforce, financial-services data, Snowpark, infrastructure-as-code, DevOps, or governed LLM/AI services preferred.

Benefits

  • 11 paid holidays plus 2 floating holidays.
  • Paid parental leave and paid volunteer time.
  • Flexible work schedule.
  • Subsidized health, dental, and vision plans.
  • 401(k) account with company matching contributions.
  • Mental health services, life insurance, and short- and long-term disability insurance.
  • Flexible spending and health savings accounts.
  • Educational expense reimbursement, financial education, employee assistance, charitable donation support, referral incentives, and team-building activities.

Interested in this position?

Apply directly on the company website

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