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Data Engineering Jobs in Spring, TX (NOW HIRING)

Epco Corp

Analyst, Lead Data Engineering

Houston, TX · On-site

Analyst, Lead Data Engineering - 000GF9 Description Tap into the professional possibilities of the largest publicly traded energy partnership that features one of the most diversified cash flow ...

DPR Construction

Data Engineering Lead- Finance

Houston, TX

$109.30K - $131.30K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining ...

Samprasoft

IT Data Engineering JG3

Houston, TX · On-site

$109.30K - $131.30K/yr

Data Engineering Lead Manages one or more data engineering projects of moderate complexity. Leads or acts as key team member in defining and builds the data pipelines that will enable faster, better ...

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$40.9K

$146.8K

$216.7K

How much do data engineering jobs pay per year?

As of May 28, 2026, the average yearly pay for data engineering in Spring, TX is $146,848.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,800.00 and $151,300.00 per year, depending on experience, location, and employer.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

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

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.
More about Data Engineering jobs
What are the most commonly searched types of Data Engineering jobs in Spring, TX? The most popular types of Data Engineering jobs in Spring, TX are:
What are popular job titles related to Data Engineering jobs in Spring, TX? For Data Engineering jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Spring, TX look for? The top searched job categories for Data Engineering jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Engineering jobs? Cities near Spring, TX with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Spring, TX as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $146,848 per year, or $70.6 per hour.
Director, Data Engineering

Director, Data Engineering

Tokio Marine HCC

Houston, TX • On-site

Full-time

Posted 21 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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