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

Rysun Labs Inc

Data Engineer

Houston, TX · On-site

$60/hr

Vision insurance Rysun Labs (formerly KCS Krish Compusoft Services) is an AI, Data & Digital ... Data Engineer Location: Houston Tx Experience: 47 Years Mandatory Certification: * Databricks ...

Hp

Data Solutions - Data Engineer

Spring, TX · On-site

$130K - $205K/yr

Data Solutions - Data Engineer Description - Job Summary The Data Solutions - Data Engineer is ... Dental insurance * Vision insurance * Long term/short term disability insurance * Employee ...

SynergenX

Junior Data Engineer

Houston, TX · On-site

$110K - $125K/yr

Junior Data Engineer SynergenX Health Houston, TX 77070 Salary: $110,000-$125,000 annually Job Type ... Company-Paid Life Insurance * Short & Long-Term Disability * Employee Assistance Program

New

SynergenX Health Holdings LLC

Data Engineer II

Houston, TX · On-site

$130K - $145K/yr

Data Engineer II (Mid-Level) SynergenX Health Holdings Location: Houston, TX 77070 (Corporate ... Medical, Dental, and Vision Insurance * Company-paid Life Insurance * 401(k) with Company Match

New

SynergenX

Data Engineer II

Houston, TX · On-site

$130K - $145K/yr

Data Engineer II (Mid-Level) SynergenX Health Holdings Location: Houston, TX 77070 (Corporate ... Medical, Dental, and Vision Insurance * Company-paid Life Insurance * 401(k) with Company Match

New

MD Anderson

Principal Data Engineer

Houston, TX · On-site

The Principal Data Engineer plays a pivotal role in delivering scalable, governed, and high-quality ... D, and disability insurance. Accruals for PTO and Extended Illness Bank, plus paid holidays ...

MD Anderson

Principal Data Engineer

Houston, TX

The Principal Data Engineer plays a pivotal role in delivering scalable, governed, and high-quality ... and disability insurance. • Accruals for PTO and Extended Illness Bank, plus paid holidays ...

MD Anderson Center

Principal Data Engineer

Houston, TX · On-site

The Principal Data Engineer plays a pivotal role in delivering scalable, governed, and high-quality ... and disability insurance. • Accruals for PTO and Extended Illness Bank, plus paid holidays ...

MD Anderson

Principal Data Engineer

Houston, TX

$146K/yr

The Principal Data Engineer plays a pivotal role in delivering scalable, governed, and high-quality ... and disability insurance. • Accruals for PTO and Extended Illness Bank, plus paid holidays ...

Visual Comfort & Co.

Data Engineer II

Houston, TX · On-site

$91K - $96K/yr

... Data Engineer II is responsible for collaborating with analytics, business intelligence, and IT ... Insurance: Company-provided life insurance and short-term disability coverage. * Retirement: 401(k) ...

circa

Data Engineer II

Houston, TX

$109K - $131K/yr

... Data Engineer II is responsible for collaborating with analytics, business intelligence, and IT ... Insurance: Company-provided life insurance and short-term disability coverage. * Retirement: 401(k) ...

Alliance Technical Group

SR Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Summary/Objective Alliance Technical Group is seeking an experienced Senior Data Engineer to design ... Employee Benefits: Key Benefits Include: - Medical, Dental, and Vision Insurance - Flexible ...

Net Orbit

Azure Data Engineer

Houston, TX · On-site

$105K - $126K/yr

Azure Data Engineer Houston TX - Onsite from day 1 Project Overview: New project- credit card ... You will independently drive design decisions to insure the necessary health of the overall ...

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Showing results 1-20

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 Jul 12, 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.

How much do insurance engineers make?

Insurance data engineers typically earn a median salary ranging from $80,000 to $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL can command higher salaries. Compensation may also include benefits such as bonuses and professional development opportunities.

What engineers make $500,000?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership roles. High compensation is often associated with seniority, complex data systems, and working in competitive markets or large organizations.

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 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.

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.

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.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI solutions effectively. Their expertise remains critical in managing complex data environments and integrating AI tools into business processes.

What engineers make 300,000 a year?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $300,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, cloud platforms, and certifications. High-level roles often involve leadership, complex data architecture, and strategic decision-making, typically in large organizations or with specialized expertise.
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

Data Engineer

Rysun Labs Inc

Houston, TX • On-site

$60/hr

Full-time

Medical, Dental, Vision, PTO

Posted 27 days ago

Job description

Benefits:
  • Dental insurance
  • Health insurance
  • Paid time off
  • Training & development
  • Vision insurance

Rysun Labs (formerly KCS Krish Compusoft Services) is an AI, Data & Digital innovation partner of choice for enterprises. Rysun guides and accelerates the AI & Data strategy and Digital Transformation programs for Fortune 2000 enterprises and product startups to shape remarkable customer experiences and intelligent operations. The team delivers innovative, specialized solutions that help High-tech, Retail & Ecommerce, and Energy companies to outperform competition and lead the change in their industry. Rysun partners with Microsoft, Google and AWS to bring the best of enterprise technology to its customers. Rysun believes in quality-first and is CMMI Level 5, ISO 9001 & 27001 certified. The team has a growth mindset fueled by a strong culture of collaboration that unifies its global teams across US, UK, India & South Africa (a proud Level 2 B-BBEE Contributor).
We are seeking a skilled and motivated Data Engineer to design, build, and maintain scalable data pipelines and data platforms that support business intelligence, analytics, and data-driven decision-making. The ideal candidate will have strong experience in data engineering, cloud technologies, ETL/ELT development, and data warehousing, along with a passion for delivering high-quality data solutions.
Job Title: Data Engineer
Location: Houston Tx
Experience: 47 Years
Mandatory Certification:
  • Databricks Certified Data Engineer Associate OR
  • Databricks Certified Data Engineer Professional
Key Responsibilities
  • Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
  • Build and optimize data integration workflows from multiple data sources.
  • Develop and manage data warehouses, data lakes, and cloud-based data platforms.
  • Collaborate with Data Analysts, Data Scientists, Product Managers, and business stakeholders to understand data requirements.
  • Ensure data quality, integrity, governance, and security across enterprise systems.
  • Optimize SQL queries, database performance, and data processing workflows.
  • Monitor and troubleshoot data pipeline issues and implement performance improvements.
  • Support reporting, analytics, and machine learning initiatives by providing reliable datasets.
  • Implement data validation, monitoring, and automation processes.
  • Participate in Agile development processes and technical design discussions.
Required Skills & Experience
  • 47 years of experience in Data Engineering or related roles.
  • Strong expertise in SQL and database design concepts.
  • Hands-on experience with ETL/ELT tools and data integration frameworks.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Strong knowledge of Data Warehousing, Data Modeling, and Data Lake architectures.
  • Proficiency in Python, PySpark, or Scala for data processing.
  • Experience with Big Data technologies such as Spark, Databricks, Hadoop, or Kafka.
  • Knowledge of CI/CD, version control (Git), and automation best practices.
  • Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
  • Experience with Databricks, Snowflake, Redshift, Synapse, or BigQuery.
  • Familiarity with data governance, metadata management, and data quality frameworks.
  • Exposure to real-time data processing and streaming technologies.
  • Experience working in Agile/Scrum environments.