Data & Integration Ops Engineer

Focus Financial Partners

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
St. Louis, MO
Salary
$110,000–$130,000 / yr
Posted
65 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $169k
This role $120k
$98k most similar roles pay here $222k

This role pays less than 83% of similar roles. Most pay $126,800–$210,300 — the shaded band above. At the midpoint, this role pays about $120k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About Focus Financial Partners

Focus Financial Partners is a leading partnership of independent, fiduciary wealth management firms, providing financial advisory, investment management, and related services to individuals, families, and institutions.

Focus Financial Partners currently has 5 open roles on FindRole.

Listed pay typically runs $110,000–$130,000 across 5 roles with salary data.

Most-posted roles

View all roles at Focus Financial Partners

At a glance

TL;DR · Data & Integration Ops Engineer

The Data & Integration Ops Engineer joins a team focused on ensuring the stable, secure, and efficient operation of data platforms and integration pipelines. This role bridges data engineering and operations by applying DataOps and DevOps best practices to manage SLAs, monitor systems proactively, and resolve issues in real-time. You will oversee end-to-end ELT workflows, manage Snowflake RBAC and access policies, and coordinate the deployment of dbt models and pipeline code via GitHub Actions. The role involves troubleshooting integration workflows across Azure Integration Services, including Logic Apps, Event Hub, and AKS-based jobs. Key technical requirements include proficiency in SQL, Python, Apache Airflow or Astro for DAG orchestration, and experience with Git version control. You will solve critical data availability problems by optimizing performance, managing incident responses, and ensuring high-quality data delivery across various production environments.

What you'll do

  • Oversee end-to-end data pipeline operations and monitor Airflow DAGs to ensure on-time delivery and meet defined SLAs.
  • Monitor and troubleshoot integration workflows across Azure Integration Services, including Logic Apps and Event Hub.
  • Serve as the primary point of contact for real-time incident response, root cause analysis, and recovery efforts.
  • Manage Snowflake RBAC, access policies, and audit permissions to ensure data security and compliance.
  • Facilitate deployment of new data models and dbt transformations while enforcing code review gates.
  • Optimize pipeline performance through query tuning and resource scaling to reduce latency and improve throughput.
  • Implement monitoring, logging, and alerting systems to proactively detect anomalies in data workflows.

What we're looking for

  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
  • 5+ years of professional experience in data engineering, data operations (DataOps), or a related field.
  • Proficiency in SQL and data transformation frameworks like dbt for building and troubleshooting models.
  • Advanced programming skills in Python for writing data pipeline jobs and automation scripts.
  • Experience with Apache Airflow/Astro for DAG orchestration and monitoring complex pipelines.
  • Strong knowledge of Snowflake (RBAC, secure views) and Azure services (Logic Apps, Event Hub, AKS).
  • Experience implementing monitoring, logging, and alerting systems to track SLAs and detect failures.
  • Proficiency in version control using Git and managing CI/CD processes via GitHub Actions.

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