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

campus4tech

Lead Data Scientist

Houston, TX · On-site

Permanent Full Time Job Mode: 100% Onsite Benefits- DENTAL INSURANCE/ MEDICAL INSURANCE/ VISION ... Bachelor's Degree in science, engineering, computer science, mathematics, statistics, or related ...

Giga Energy

BIM Lead - Data Center

Houston, TX · On-site

Coordinate with architects, structural engineers, MEP engineers, civil engineers, and other ... Subsidized health, dental, and vision insurance * Equity (options) in a rapidly growing startup ...

New

David Weekley Homes

Analytics Engineer

Houston, TX · On-site

Contribute to data quality checks, validation logic, and usability standards for downstream ... Health Insurance - Medical, Dental and Vision * 401k and discretionary 8% match * Employee Stock ...

David Weekley Homes

Analytics Engineer

Houston, TX · On-site

Contribute to data quality checks, validation logic, and usability standards for downstream ... Health Insurance - Medical, Dental and Vision * 401k and discretionary 8% match * Employee Stock ...

Deloitte

Insurance Solutions Senior Manager

Houston, TX · On-site

$52.75 - $68/hr

... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ... Insurance moves the world forward. It's the invisible safety net behind everything else that ...

Phasor Engineering Inc

Distribution Engineer

Houston, TX · On-site +1

Collect, interpret, and organize engineering, survey, and vendor data. * Identify and help resolve ... Disability insurance * Employee assistance program * Extended health care * Life insurance * On ...

Exmar Offshore Company

Project Engineer

Houston, TX · On-site

Dependent Medical, Dental, and Vision Insurance Plans * Company Paid Group Life and Accidental ... Drive data-informed decision-making through reporting and performance analytics * Support seamless ...

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All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Spring, TX

Insurance Data Engineer information

See Spring, TX salary details

$39.6K

$115.4K

$158K

How much do insurance data engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for insurance data engineer in Spring, TX is $115,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $122,400.00 per year, depending on experience, location, and employer.

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

To thrive as an Insurance Data Engineer, you need strong expertise in data modeling, ETL processes, and a solid understanding of insurance data structures, typically supported by a degree in computer science, data engineering, or a related field. Proficiency with SQL, Python, big data platforms (like Hadoop or Spark), and experience with cloud data solutions such as AWS or Azure are commonly required, along with certifications like AWS Certified Data Analytics or Google Cloud Data Engineer. Excellent problem-solving, communication, and collaboration skills help you bridge technical and business needs while ensuring data quality. These abilities are essential for building robust data pipelines and enabling accurate data-driven decision making within insurance organizations.

How does an Insurance Data Engineer typically collaborate with actuarial and underwriting teams?

Insurance Data Engineers work closely with actuarial and underwriting teams to ensure that the data infrastructure supports accurate risk assessment and pricing models. They often translate business requirements from these teams into technical specifications, build data pipelines to source and clean relevant data, and assist in implementing predictive analytics tools. Regular communication and collaboration are essential, as data engineers help bridge the gap between raw data and actionable insights for decision-making. This teamwork not only streamlines workflow but also enables continuous improvement of insurance products and customer experience.

What are Insurance Data Engineers?

Insurance Data Engineers are professionals who design, build, and maintain data systems that support the needs of insurance companies. They are responsible for collecting, organizing, and processing large amounts of data from various sources to enable accurate risk assessment, pricing, claims analysis, and regulatory compliance. Their work helps insurers make data-driven decisions, improve efficiency, and enhance customer experiences by leveraging modern data technologies.

What is the difference between Insurance Data Engineer vs Data Analyst in the insurance industry?

AspectInsurance Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDevelops data pipelines, manages databases, works with big data toolsInterprets data, creates reports, visualizes insights
Employer & Industry UsageInsurance companies, tech firms in insuranceInsurance firms, consulting agencies, analytics companies

Insurance Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data to provide insights. Both roles are essential in the insurance industry but serve different functions in data management and analysis.

What are popular job titles related to Insurance Data Engineer jobs in Spring, TX? For Insurance Data Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Spring, TX look for? The top searched job categories for Insurance Data Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Insurance Data Engineer jobs? Cities near Spring, TX with the most Insurance Data Engineer job openings:
Insurance Data Engineer jobs near you

Lead Data Scientist

campus4tech

Houston, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Job description

Title: Lead Data Scientist
Location: Houston, TX
Job Type: Permanent Full Time
Job Mode: 100% Onsite
Benefits- DENTAL INSURANCE/ MEDICAL INSURANCE/ VISION INSURANCE/ LIFE INSURANCE/ RETIREMENT/ Equity/ PAID TIME OFF
Must-Haves
Project Lead Experience
Building Data Sets
Presenting to A-C level executives
Must have Cogito experience
AWS Certification is a MUST
Job Description
MINIMUM QUALIFICATIONS
Education: Bachelor's Degree in science, engineering, computer science, mathematics, statistics, or related STEM field required. Master's Degree in Data Science preferred.
Licenses/Certifications: (None)
Experience / Knowledge / Skills:
  • Seven (7) years of experience in data science is required
  • Professional experience in hospital setting, medical informatics, healthcare information technology/finance/revenue cycle data management, or Electronic Health Record (EHR) data management is preferred
  • Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.), technical expertise, mathematical skills and good understanding of design and architecture principles are required
  • Possesses deep understanding of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
  • Proficient understanding of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
  • Ability to communicate, gather requirements and execute storytelling with data
  • Possesses advanced level knowledge of the data science project life cycle
  • Proficient programming skills in addition to a working knowledge and experience of statistical analysis tools
  • Demonstrates proficiency in problem solving, analytical reasoning and decision-making skills
  • Demonstrates proficiency in identifying and seeking needed information to perform problem/situation analysis
  • Advanced level of understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex and incomplete sources
  • Exhibits strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines
  • Advanced understanding of SQL database management tools
  • Exceptional analytical skills and ability to understand and interpret results based on advanced statistical techniques
  • Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non-technical audiences
  • Ability to work under minimal supervision in a fast-paced multidisciplinary environment
  • Advanced knowledge of data science methods - time series forecasting, linear regression, A/B testing, statistical testing, Clustering, etc.
  • Superior customer service in the form of first-rate work products and project management
  • Strong ability to manage challenging client situations
  • Strong ability to troubleshoot and recommend solutions
  • Strong ability to translate complex information for a wide range of stakeholders

PRINCIPAL ACCOUNTABILITIES
  • Leads high priority projects that impact the organization.
  • Leads complex issues and problems, and refers more complex issues to higher-level staff.
  • Provides technical supervision/mentoring to other data scientists and trains the broader audience on data science developments.
  • Provides leadership, coaching, and/or mentoring to subordinate group.
  • Develops custom data models and algorithms to apply to data sets.
  • Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions. Provides findings and analysis for use in decision making.
  • Performs research, analysis, and modeling on organizational data.
  • Maintains existing models and evaluates their goodness of fit.
  • Provides in-depth data insights from structured and unstructured data for complex business problems through use of advanced analytics techniques, predictive modeling, data mining/visualization and pattern analysis tools.
  • Develops and tests hypotheses and communicates findings in clear, precise and actionable manner to project and leadership teams.
  • Works closely with teams to identify, understand, and resolve data issues and improve efficiency, productivity and scalability of data processes.
  • Assists with the evaluation of data science vendors and tools.
  • Ensures safe care to patients, staff and visitors; adheres to all Memorial Hermann policies, procedures, and standards within budgetary specifications including time management, supply management, productivity and quality of service.
  • Promotes individual professional growth and development by meeting requirements for mandatory/continuing education and skills competency; supports department-based goals which contribute to the success of the organization; serves as preceptor, mentor and resource to less experienced staff.
  • Demonstrates commitment to caring for every member of our community by creating compassionate and personalized experiences. Models Memorial Hermann's service standards by providing safe, caring, personalized and efficient experiences to patients and colleagues.

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