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Director Data Engineer Jobs in Spring, TX (NOW HIRING)

Tmhcc

Director, Data Engineering

Houston, TX

Data Engineering Director Location: Houston, TX (4 days in the office) Reports To: VP Data Engineering Help us insure it Tokio Marine HCC is a global industry-leading specialty insurance group ...

circa

Data Engineer II

Houston, TX

$109K - $131K/yr

Reporting directly to the Director Data Platform within the Information Technology department, the Data Engineer II is responsible for collaborating with analytics, business intelligence, and IT ...

Visual Comfort & Co.

Data Engineer II

Houston, TX · On-site

$91K - $96K/yr

Reporting directly to the Director Data Platform within the Information Technology department, the Data Engineer II is responsible for collaborating with analytics, business intelligence, and IT ...

NAVA Software Solutions

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Houston, TX - 4 days/week onsite Duration: Full time / Direct Hire The Principal Data Engineer within the Data Science and Analytics team, plays a crucial role in architecting, implementing, and ...

Academy, Ltd.

Director Data Products

Katy, TX · On-site

Bachelor's Degree in Computer Science, Computer Engineering, Information Systems, Business Management, or a relevant field required Work Experiences: * 10+ years of experience in data analytics, data ...

New

Pwc

Data Engineer - Senior Manager

Houston, TX · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Direct the team through complexity, demonstrating composure through ambiguous, challenging and ...

Pwc

Data Engineer - Manager

Houston, TX · On-site

$99K - $232K/yr

... Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

VC5 Consulting

Python Data Engineer

Houston, TX

Direct Hire * Location: Houston, Texas 77098 If you are a Python Data Engineer with deep financial or energy trading domain experience and a passion for building data infrastructure that drives real ...

Deloitte

Senior Data Engineer

Houston, TX · Hybrid

$101K - $137K/yr

Communicate regularly with Engagement Managers (Directors), project team members, and ... Define and enforce data engineering standards - naming conventions, partitioning strategies ...

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All JobsData Engineer JobsDirector Data Engineer JobsDirector Data Engineer Jobs in Spring, TX

Director Data Engineer information

See Spring, TX salary details

$45.8K

$131.2K

$175.3K

How much do director data engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for director data engineer in Spring, TX is $131,224.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,800.00 and $174,400.00 per year, depending on experience, location, and employer.

How does a Director Data Engineer typically collaborate with other departments to drive business objectives?

A Director Data Engineer works closely with cross-functional teams such as product management, analytics, and IT to align data infrastructure and engineering strategies with overall business goals. They facilitate communication between data engineering teams and key stakeholders, ensuring that data solutions address real business needs and support decision-making. This role often involves leading meetings, prioritizing projects based on cross-departmental feedback, and translating technical requirements into actionable plans for their teams. Effective collaboration is essential for delivering scalable, high-impact data solutions across the organization.

What are the key skills and qualifications needed to thrive as a Director Data Engineer, and why are they important?

To thrive as a Director Data Engineer, you need advanced expertise in data architecture, data modeling, and large-scale data processing, typically backed by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), big data tools (like Hadoop, Spark), and relevant certifications (e.g., Google Cloud Certified - Professional Data Engineer) is critical. Strong leadership, strategic thinking, and effective communication skills set top performers apart in this role. These abilities are vital for designing robust data solutions, leading high-performing teams, and aligning data initiatives with organizational goals.

What does a Director Data Engineer do?

A Director Data Engineer leads teams responsible for designing, building, and maintaining large-scale data architectures and infrastructure within an organization. They oversee data engineering projects, establish data management best practices, and ensure data systems are scalable, secure, and reliable. Additionally, they collaborate with other departments, such as analytics and IT, to align data strategies with business goals while mentoring and managing junior engineers.
What are the most commonly searched types of Data Engineer jobs in Spring, TX? The most popular types of Data Engineer jobs in Spring, TX are:
What are popular job titles related to Director Data Engineer jobs in Spring, TX? For Director Data Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Director Data Engineer jobs in Spring, TX look for? The top searched job categories for Director Data Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Director Data Engineer jobs? Cities near Spring, TX with the most Director Data Engineer job openings:
Director Data Engineer jobs near you
Director, Data Engineering

Director, Data Engineering

Tokio Marine HCC

Houston, TX • On-site

Full-time

Posted 12 days ago

Job description

Data Engineering Director
Location: Houston, TX (4 days in the office)
Reports To: VP Data Engineering
Help us insure it
Tokio Marine HCC is a global industry-leading specialty insurance group, backed by the strength and stability of the Tokio Marine Group. Offering over 100 classes of specialty insurance, we empower clients to pursue opportunities confidently through our "Mind Over Risk" philosophy. More than an insurance company, we are an organization built on innovation, unity, and trust.
At our core, we are Always Advancing, driven by innovation and an entrepreneurial spirit that keeps us moving forward. Our people are Experts in Tomorrow, using curiosity and smart working to anticipate what's next. With a culture rooted in Reaching Out, we foster genuine collaboration and support, ensuring every individual has the opportunity to succeed and make a difference.
We are seeking a highly experienced Director, Data Engineering, to lead enterprise data platform strategy and execution within the Corporate Data Office. This role provides strategic and hands-on technical leadership for the design, implementation, and optimization of modern, cloud-native data platforms.
The Director is responsible for working with enterprise data architecture, leading large-scale cloud data initiatives, and ensuring secure, scalable, and cost-effective data movement across the organization. This includes ownership of AWS-based data infrastructure, Snowflake data warehouse/lakehouse environments, and Qlik Replicate (or similar change data capture technologies) supporting near-time and batch ingestion.
This role operates at both strategic and technical levels-setting direction for enterprise data engineering standards while remaining deeply engaged in architectural design, performance optimization, governance implementation, and complex troubleshooting. The Director partners
closely with business leaders, enterprise architecture, cybersecurity, analytics, actuarial, finance, underwriting, and risk functions to ensure data capabilities directly enable corporate objectives
Key Responsibilities
  • You will help others build code to extract raw data, coach the team on techniques to validate its quality, and apply your deep data knowledge to ensure the correct data is ingested across the pipeline. You'll also provide expertise on techniques to transform raw data into forms compatible with downstream data sources.
  • You will guide the development of data tools used to transform, manage, and access data. You'll also advise the team on writing and validating code to test the storage and availability of data platforms so that they're more resilient.
  • You will oversee the implementation of performance monitoring protocols across data pipelines, coaching the team on building visualizations and aggregations to monitor pipeline health. You'll also coach others on implementing solutions and self-healing processes that minimize points of failure across multiple product features.
  • You will help others identify data governance needs, overseeing the design of data modeling and handling procedures to ensure compliance with all applicable laws and policies. You'll oversee data accessibility within your assigned pipelines.
  • You will prepare team members for meetings with appropriate stakeholders across teams and address concerns around data requirements by providing guidance on feature estimation. You will help others assess data costs, access, usage, use cases, dependencies across products, and availability for business or customer scenarios related to one or more product features.

Position Knowledge, Skills, and Requirements:
Minimum
  • Bachelor's degree in computer science, information systems, data engineering, or related field (or equivalent experience).
  • 12+ years of progressive experience in data engineering, data architecture, or enterprise data platforms.
  • 5+ years of leadership experience managing managers and technical teams in cross-functional enterprise environments.
  • Deep hands-on experience with AWS cloud architecture and services supporting large-scale data ecosystems.
  • Advanced hands-on experience with Snowflake, including architecture design, modeling, performance optimization, and security configuration.
  • Proven experience implementing and managing Qlik Replicate, Qlik Compose, or similar CDC/data integration platforms.
  • Demonstrated success delivering enterprise-scale data modernization initiatives.
  • Extensive experience with SQL and relational databases.
  • Experience building and optimizing end-to-end data pipelines supporting data lake, data warehouse, operational analytics, and AI/ML workloads.
  • Experience implementing CI/CD frameworks using GitHub, GitLab, Azure DevOps, or similar platforms.

Preferred
  • 6+ years of hands-on dimensional, and analytic modeling experience in Conceptual, Logical and Physical Data Models
  • Knowledge of metadata management, data modeling, and related tools (Qlik Compose, Erwin or ER Studio or others) including Source-to-Target mapping working directly with the developers, data architect and engineers.
  • Design data models to ensure future business flexibility, ease of use and sustainable architecture.
  • Consider ELT/ETL and Reporting challenges in designing data models.
  • Hands-on experience in data requirements and technical requirements gathering,
  • Experience creating cross-functional documentation for multiple stakeholders and teams.
  • Experience in the Risk & Compliance domain
  • Google Cloud, Amazon Web Services, or Azure
  • CI/CD in GitHub, GitLab, or Azure DevOps
  • Terraform or other Infrastructure as Code technology.
  • Kubernetes
  • Qlik Replicate, Qlik Compose
  • PowerBI
  • Experience with Infrastructure-as-Code technologies (Terraform or equivalent).

Equal Opportunity Employer
TMHCC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.

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