Hybrid Data Engineering Manager: ETL & Big Data

Charles Schwab; Austin (TX); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

401(k) match

Employee stock purchase plan

Vacation and sabbatical

Parental leave and family benefits

Tuition reimbursement

Health, dental, and vision insurance

Hybrid/remote schedule

Job summary

Charles Schwab in Austin is seeking an experienced ETL/Big Data Engineer to develop, maintain, and support large-scale data pipelines and applications. You will work with platform architects to ensure technical integrity, proactively troubleshoot production issues, and support Change Management during production transitions.

We value collaboration with business and tech stakeholders to educate them on Schwab Technology Services standards for new or enhanced projects, and to provide end-to-end

Qualifications

• Requires Bachelor's degree and 60 months of progressive experience in a related occupation.
• Experience with IICS, Oracle/Teradata/DB2/MS SQL/Hive, cloud data platforms, and scripting.
• Familiar with change and incident management and production readiness.

Responsibilities

• Develop, maintain, and support ETL and large-scale Big Data apps.
• Collaborate with platform architects for solution integrity and consistency.
• Detect, troubleshoot, and resolve production issues involving dev teams.
• Provide clear updates during outages and ensure change hygiene for production.
• Support production readiness for new systems or projects.
• Educate stakeholders on STS standards and policies.
• Navigate incident and change management end-to-end in systems.
• Update knowledge repositories for support activities.
• Service requests for data access to Production systems.

Skills

IICS

Oracle

Teradata

DB2

MS SQL

Hive

Autosys

Control-M

Shell scripting

Toad

Nexus

Remedy

ServiceNow

Jira

GitHub

Splunk

PuTTY

Talend

Google BigQuery

GCS

Data Proc

Snowflake

Python

Education

Bachelor's in Computer Science/Engineering/Mechanical Engineering

Job description

Charles Schwab in Austin is seeking an experienced ETL/Big Data Engineer to develop, maintain, and support large-scale data pipelines and applications. You will work with platform architects to ensure technical integrity, proactively troubleshoot production issues, and support Change Management during production transitions.

We value collaboration with business and tech stakeholders to educate them on Schwab Technology Services standards for new or enhanced projects, and to provide end-to-end