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

Rysun Labs Inc

Data Engineer

Houston, TX

$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

$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 ...

Fuze Health

Data Engineer

Texas City, TX

$140K - $175K/yr

The Data Engineer will be responsible for building and maintaining the platform that services ... AD&D) insurance, flexible spending account (FSA) and health savings account (HSA), commuter ...

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) ...

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) ...

WhiteWater Express Car Wash

Senior Data Engineer

Houston, TX · On-site

$90K - $130K/yr

Senior Data Engineer Note: Position is not eligible for visa sponsorship. At WhiteWater Express, we ... Company-Paid Life Insurance * Pathways to Advancement * Free Weekly Car Washes Our employees are ...

Whitewater Express Car Wash

Senior Data Engineer

Houston, TX · On-site

$90K - $130K/yr

Senior Data Engineer Note: Position is not eligible for visa sponsorship. At WhiteWater Express, we ... Company-Paid Life Insurance * Pathways to Advancement * Free Weekly Car Washes Our employees are ...

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 ...

Stem Xpert

Big data engineer

Houston, TX

$53.25 - $70.50/hr

... Science, Insurance, legal, healthcare, among others. It also offers outsourcing, consulting ... Big Data Engineer Location: Houston, TX- locals highly preferred Duration: Through 3/31/2017 Notes:

Rysun Labs Inc

Data Technical Architect

Houston, TX

$70/hr

Vision insurance Rysun Labs (formerly KCS Krish Compusoft Services) is an AI, Data & Digital ... Databricks Certified Data Engineer Professional Key Responsibilities: * Design and implement ...

New

Kforce Technology Staffing

Data Architect

Spring, TX · On-site

$54 - $69.50/hr

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field * 7+ ... We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and ...

Skanska USA

Data Analytics Engineer

Houston, TX

$109K - $131K/yr

Job Overview Skanska is searching for a dynamic Data Analytics Engineer. This is a great ... That's why we provide an array of options (including medical, dental, and vision insurance plans ...

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

Insurance Data Engineer information

See Houston, TX salary details

$42.5K

$123.9K

$169.5K

How much do insurance data engineer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for insurance data engineer in Houston, TX is $123,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $131,300.00 per year, depending on experience, location, and employer.

What health insurance covers Wegovy?

As an Insurance Data Engineer, understanding insurance coverage is essential. Coverage for Wegovy, a prescription weight management medication, varies by insurance plan and provider. Many health insurance plans, including some employer-sponsored plans and Medicare, may cover Wegovy if prescribed for approved indications, but prior authorization is often required.

What is the best cheapest insurance?

As an Insurance Data Engineer, evaluating the cheapest insurance involves analyzing data from multiple providers to identify affordable options that meet coverage needs. Comparing quotes, understanding policy details, and using data analysis tools can help find cost-effective insurance plans. However, the cheapest option may not always offer the best coverage, so balancing cost and coverage is essential.

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.

Does health insurance cover a pacemaker?

As an Insurance Data Engineer, you should know that health insurance typically covers pacemaker implantation and related procedures if deemed medically necessary, though coverage details vary by plan. Patients usually need prior authorization, and coverage may include device costs, surgery, and follow-up care. It is important to review specific policy terms and provider networks for accurate coverage information.

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.

Who does the cheapest insurance?

Insurance Data Engineers analyze data to help insurance companies identify cost-effective policies and pricing strategies. The cheapest insurance options typically depend on factors like coverage needs, customer profile, and provider discounts, rather than a specific role. Consumers should compare quotes from multiple providers to find the most affordable coverage.

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

Data Engineer

Rysun Labs Inc

Houston, TX

$60/hr

Full-time

Medical, Dental, Vision, PTO

Posted 12 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.