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Director Of Data Engineering Jobs (NOW HIRING)

Subway

Director, Data Engineering

Wilton, CT

$184K - $230K/yr

A dedicated team of professionals supporting thousands of franchisees around the globe. Director, Data Engineering - Shelton, CT Ready to build what's next with one of the world's most iconic brands?

New

Subway

Director, Data Engineering

Easton, CT · On-site

$184K - $230K/yr

A dedicated team of professionals supporting thousands of franchisees around the globe. Director, Data Engineering - Shelton, CT Ready to build what's next with one of the world's most iconic brands?

New

Subway

Director, Data Engineering

Southbury, CT

$184K - $230K/yr

A dedicated team of professionals supporting thousands of franchisees around the globe. Director, Data Engineering - Shelton, CT Ready to build what's next with one of the world's most iconic brands?

New

Subway

Director, Data Engineering

Prospect, CT

$184K - $230K/yr

A dedicated team of professionals supporting thousands of franchisees around the globe. Director, Data Engineering - Shelton, CT Ready to build what's next with one of the world's most iconic brands?

New

Subway

Director, Data Engineering

Waterbury, CT

$184K - $230K/yr

A dedicated team of professionals supporting thousands of franchisees around the globe. Director, Data Engineering - Shelton, CT Ready to build what's next with one of the world's most iconic brands?

New

Subway

Director, Data Engineering

North Haven, CT · On-site

$184K - $230K/yr

A dedicated team of professionals supporting thousands of franchisees around the globe. Director, Data Engineering - Shelton, CT Ready to build what's next with one of the world's most iconic brands?

New

Subway

Director, Data Engineering

Trumbull, CT

$184K - $230K/yr

A dedicated team of professionals supporting thousands of franchisees around the globe. Director, Data Engineering - Shelton, CT Ready to build what's next with one of the world's most iconic brands?

New

Subway

Director, Data Engineering

Southport, CT · On-site

$184K - $230K/yr

A dedicated team of professionals supporting thousands of franchisees around the globe. Director, Data Engineering - Shelton, CT Ready to build what's next with one of the world's most iconic brands?

New

MedReview

Director of Data Services

Newport Beach, CA · On-site

We are seeking an experienced and visionary Director of Data Services to lead our enterprise data ... data architecture, engineering and operations, and partnering cross-functionally with product ...

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Director Of Data Engineering information

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$73K

$194.7K

$254K

How much do director of data engineering jobs pay per year?

As of Jul 8, 2026, the average yearly pay for director of data engineering in the United States is $194,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,500.00 and $253,000.00 per year, depending on experience, location, and employer.

How much does a VP of data engineering make?

A Vice President of Data Engineering typically earns between $150,000 and $250,000 annually, with total compensation often including bonuses and stock options. Salaries vary based on company size, location, experience, and industry, and the role requires strong leadership and technical skills in data architecture and cloud platforms.

What engineer makes $500,000 a year?

Senior data engineers, especially those in leadership roles like Director of Data Engineering or with specialized skills in cloud platforms and big data tools, can earn $500,000 or more annually. High compensation often includes bonuses, stock options, and other incentives, particularly in large tech companies or competitive markets.

What does a director of data engineering do?

A director of data engineering oversees the design, development, and management of an organization’s data infrastructure and pipelines. They lead teams of data engineers, ensure data quality and security, and collaborate with other departments to support data-driven decision-making using tools like cloud platforms and data processing frameworks.

Can I make 200K as a data engineer?

As a data engineer, reaching a salary of $200,000 is possible, especially with senior roles, extensive experience, advanced skills in cloud platforms and big data tools, and working in high-cost-of-living areas or at large organizations. Compensation varies based on location, industry, and individual expertise. Generally, senior data engineers with specialized skills can achieve this level of income.

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

To thrive as a Director of Data Engineering, you need deep expertise in data architecture, ETL processes, big data technologies, and leadership experience, typically supported by a degree in computer science or a related field. Familiarity with tools like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and data modeling systems, as well as certifications such as AWS Certified Data Analytics, are highly valued. Strong communication, strategic thinking, and team management skills set outstanding directors apart in this role. These competencies are crucial for designing scalable data solutions, aligning teams, and driving data-driven business outcomes.

What is the difference between Director Of Data Engineering vs Data Engineer?

AspectDirector Of Data EngineeringData Engineer
ResponsibilitiesOversees data engineering teams, strategy, and architectureBuilds, maintains, and optimizes data pipelines and systems
Required SkillsLeadership, data architecture, project managementProgramming, database management, ETL processes
ExperienceSenior data engineering, team managementHands-on data engineering, technical expertise
Work EnvironmentStrategic planning, cross-team collaborationTechnical development, coding, system maintenance

The main difference is that the Director Of Data Engineering focuses on leading data teams and setting strategic direction, while a Data Engineer is primarily responsible for developing and maintaining data systems. Both roles require strong technical skills, but the director role emphasizes leadership and planning.

What are some common challenges faced by a Director of Data Engineering and how can they be addressed?

One common challenge for a Director of Data Engineering is balancing the long-term vision for data infrastructure with immediate business needs. This often involves managing technical debt, prioritizing scalable solutions, and ensuring data quality across multiple teams. Effective communication with stakeholders and fostering a collaborative environment between data engineers, analysts, and business leaders are key strategies. Regularly reviewing architecture, investing in staff development, and staying updated on emerging technologies also help mitigate these challenges.
What cities are hiring for Director Of Data Engineering jobs? Cities with the most Director Of Data Engineering job openings:
What states have the most Director Of Data Engineering jobs? States with the most job openings for Director Of Data Engineering jobs include:
Infographic showing various Director Of Data Engineering job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $194,709 per year, or $93.6 per hour.
Director, Data Engineering

Director, Data Engineering

Tokio Marine HCC

Houston, TX • On-site

Full-time

Re-posted 2 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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