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Control M Jobs in Texas (NOW HIRING)

Charles Schwab Inc.

Manager, Data Engineering

Southlake, TX · On-site

$142K - $155K/yr

You will have the opportunity to work with modern cloud and data technologies including Google Cloud Platform (GCP), BigQuery, Informatica IDMC/IICS, Dataproc, Control-M, SQL, Python, and enterprise ...

Charles Schwab

Manager, Data Engineering

Southlake, TX · On-site

You will have the opportunity to work with modern cloud and data technologies including Google Cloud Platform (GCP), BigQuery, Informatica IDMC/IICS, Dataproc, Control-M, SQL, Python, and enterprise ...

Huntington

Site Reliability Engineer

Dallas, TX

$57K - $113K/yr

Monitor and manage batch processing using scheduling tools such as Zeke, Zena, CA7, Control-M, or equivalent. * Support and troubleshoot REST APIs, SOAP Web Services, API Gateways, Middleware ...

Redolent, Inc.

US_East | Planner_L2

Austin, TX · On-site

$70/hr

... Control-M and CA-Esp tools. - Should have migration experience from CA-7 to IWS" ERM - Susana Stolz | Capgemini |North America Tel.: +1 888-229-2961 Ext 13578

Huntington

Site Reliability Engineer

Dallas, TX

$56.50 - $75/hr

Monitor and manage batch processing using scheduling tools such as Zeke, Zena, CA7, Control-M, or equivalent. * Support and troubleshoot REST APIs, SOAP Web Services, API Gateways, Middleware ...

Saransh Inc

Mainframe Developer - Local

Frisco, TX · On-site

$45.75 - $59/hr

Scheduling tool(knowledge CA7, control-M). * Exposure on any of the debugging tools for both batch and online environment(eg. Xpeditor, abend aid). * Assembler. * Working knowledge on SCRUM model ...

Sonsoft Inc

Hadoop Administration

Austin, TX · On-site

Experience in Job Schedule Management - Oozie or Enterprise Schedulers like Control-M, Tivoli * Good knowledge of Linux * Exposure to setting up Ad/LDAP/Kerberos Authentication models * Familiarity ...

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All JobsControl M JobsControl M Jobs in Texas

Control M information

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How much do control m jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for control m in Texas is $20.23, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $21.73 per hour, depending on experience, location, and employer.

What is a Control M?

A Control-M job is a scheduled task or workflow automated using the Control-M workload automation software. It defines when, where, and how a task should execute, often integrating with various applications, databases, and systems. Control-M jobs help organizations streamline batch processing, improve efficiency, and ensure timely execution of critical tasks.

What does a Control M do?

As a Control M specialist, your daily activities often include designing, scheduling, and monitoring batch jobs using Control-M software to ensure workflows run efficiently. You'll be responsible for troubleshooting job failures, optimizing job schedules, and coordinating with application and infrastructure teams to address issues or deploy changes. Additionally, maintaining documentation, implementing process improvements, and participating in system upgrades or migrations are common duties. The role often requires working both independently and collaboratively to meet operational and project-based goals.

What are the key skills and qualifications needed to thrive in the Control M position, and why are they important?

To thrive as a Control M professional, you need expertise in job scheduling, batch processing, and IT workflow automation, often supported by a degree in computer science or a related field. Familiarity with Control-M software, scripting languages (such as Shell or Python), and ITIL or relevant certifications are highly valued. Strong analytical skills, attention to detail, and effective communication are essential soft skills in this role. These competencies help ensure efficient system operations, minimize downtime, and foster productive collaboration within IT teams.

What are the roles in Control M?

Roles in Control M typically include administrators, who manage and configure the workload automation system; operators, who monitor and execute scheduled jobs; and developers or engineers, who create and maintain job workflows. These roles require knowledge of job scheduling, scripting, and system integration to ensure reliable automation across IT environments.
What are the most commonly searched types of Control M jobs in Texas? The most popular types of Control M jobs in Texas are:
What are popular job titles related to Control M jobs in Texas? For Control M jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Control M jobs in Texas look for? The top searched job categories for Control M jobs in Texas are:
What cities in Texas are hiring for Control M jobs? Cities in Texas with the most Control M job openings:
Control M jobs near you
Infographic showing various Control M job openings in Texas as of August 2026, with employment types broken down into 53% Full Time, 6% Part Time, 35% Contract, and 6% Nights. Highlights an 100% In-person job distribution, with an average salary of $42,068 per year, or $20.2 per hour.

Manager, Data Engineering

Charles Schwab Inc.

Southlake, TX • On-site

$142K - $155K/yr

Full-time

Posted 4 days ago

Job description

Your Opportunity
Your Opportunity
At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).
Schwab Technology Services (STS) enables the future of how clients manage their money by delivering innovative, secure, and reliable technology solutions that support investing, financial planning, and wealth management at scale. As a Manager, Data Engineering on the Business Data Delivery team, you will play a critical role in shaping enterprise data solutions that power analytics, reporting, and data science initiatives across the organization.
In this role, you will lead the design, development, and delivery of complex data integration and data platform solutions that enable business stakeholders to make informed decisions and create better client outcomes. Partnering closely with business leaders, product teams, data modelers, architects, and fellow engineers, you will transform data into actionable insights through scalable and resilient data pipelines, data warehouse solutions, and cloud-based platforms. Your expertise will influence strategic technology decisions, drive engineering excellence, and support critical business capabilities across a variety of financial services applications.
You will have the opportunity to work with modern cloud and data technologies including Google Cloud Platform (GCP), BigQuery, Informatica IDMC/IICS, Dataproc, Control-M, SQL, Python, and enterprise DevOps tools. Beyond technical leadership, you will mentor engineers, guide delivery teams, and foster a culture focused on innovation, continuous improvement, collaboration, and operational excellence. This is an exciting opportunity for a leader who is passionate about solving complex data challenges, driving business impact, and helping shape the future of Schwab's enterprise data ecosystem.
What you have
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field.
  • 10+ years of experience in Data Engineering, Data Warehousing, ETL Development, or related disciplines.
  • Experience leading large-scale data engineering initiatives, technical teams, or complex enterprise programs.
  • 5+ years of experience designing and implementing enterprise data integration solutions using Informatica IDMC/IICS or similar ETL technologies.
  • Experience with Google Cloud Platform (GCP), including services such as BigQuery, Google Cloud Storage (GCS), and Dataproc.
  • Define and implement data warehouse, data modeling, ETL, load plans, and performance tuning strategies to ensure solutions meet functional and non-functional requirements. Leverage deep expertise in Data Warehousing, Data Modeling, SQL, and GCP technologies to deliver scalable and reliable platforms.
  • Advanced experience developing scalable data ingestion, transformation, and integration solutions supporting batch, near real-time, and real-time processing patterns.
  • Demonstrated expertise in Data Warehousing, Data Modeling, ETL Architecture, and SQL Development.
  • Strong programming and scripting experience utilizing Python, Shell Scripting, and related automation technologies.
  • Experience designing and optimizing high-performance data platforms through performance tuning, workload optimization, and scalable architecture practices.
  • Experience partnering with business stakeholders, business analysts, architects, and cross-functional technology teams to deliver business-focused data solutions.
  • Proven experience developing technical specifications, testing strategies, operational documentation, and governance controls for enterprise data platforms.
  • Working knowledge of Agile delivery methodologies, DevOps practices, CI/CD pipelines, and modern software engineering principles.
  • Experience utilizing source control and deployment tools such as GitHub, GitLab, Bitbucket, Bamboo, Control-M, or comparable technologies.
  • Strong analytical, problem-solving, and decision-making skills with the ability to lead complex technical initiatives from concept through delivery.
  • Excellent verbal and written communication skills with the ability to influence technical and non-technical stakeholders.

Preferred Qualifications
  • Experience within financial services, banking, brokerage, wealth management, or other highly regulated industries.
  • Experience supporting enterprise applications such as Workday, CAT, O2, SPO, or similar business-critical platforms.
  • Experience leading distributed, offshore, and vendor-supported engineering teams.
  • Demonstrated ability to drive technology modernization, process improvement, and data platform transformation initiatives.
  • Experience fostering engineering best practices, mentoring teams, and building high-performing technical organizations.
  • Strong background in strategic planning, prioritization, and execution across multiple concurrent initiatives.
  • Experience influencing architectural standards, governance frameworks, and enterprise data strategies.
  • Proven ability to navigate ambiguity, adapt to changing business priorities, and drive successful outcomes in complex environments.

In addition to the salary range, this role is eligible for bonus or incentive opportunities.

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