Job description

Title: Manager, Data Engineering Location: Houston, TX Employment Type: Full Time Compensation: Pay Range:$128,000-$160,000 Per Year Description This full-time position in Houston, TX, focuses on leading data engineering efforts to enhance data governance and quality. The role requires expertise in modern data technologies and the ability to drive automation and innovation within the enterprise data ecosystem. Key Responsibilities Establish and execute a roadmap for data governance and AI readiness. Improve data quality, trust, and accessibility through engineering and automation. Embed governance by design into data products and platform services. Create reusable standards and controls while remaining hands-on with technical execution. Partner with cross-functional teams to establish clear governance and accountability. Qualifications 7 years of experience in software or data engineering disciplines. Strong understanding of modern data architecture and governance practices. Proficiency in technical languages, preferably Python and SQL. Experience automating processes through code and platform capabilities. Ability to work hands-on within modern cloud data environments. Core Technologies Python | SQL | Cloud Data Platforms | Data Governance Tools | Workflow Orchestration Contact Authorization: By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. Message and data rates may apply for texts. Carriers are not liable for delayed or undelivered messages. You can access our privacy policy here mitchellmartin.com Benefits: Learn more about our benefits offerings here mitchellmartin.com Onboarding Expectations: Learn more about our Onboarding Process here youtu.be EEO Statement: Learn more about our EEO policy here mitchellmartin.com

Requirements

Must-haves

Title: Manager, Data Engineering
Location: Houston, TX
Employment Type: Full Time
Establish and execute a roadmap for data governance and AI readiness.
Improve data quality, trust, and accessibility through engineering and automation.
Embed governance by design into data products and platform services.
Create reusable standards and controls while remaining hands-on with technical execution.
Partner with cross-functional teams to establish clear governance and accountability.
7 years of experience in software or data engineering disciplines.
Strong understanding of modern data architecture and governance practices.
Proficiency in technical languages, preferably Python and SQL.
Experience automating processes through code and platform capabilities.
Ability to work hands-on within modern cloud data environments.
Core Technologies
Python | SQL | Cloud Data Platforms | Data Governance Tools | Workflow Orchestration

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiaccessibilitypythonsql

Platform: jobdiva
Effort: medium