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Insurance Data Processing Jobs in Texas (NOW HIRING)

Cymertek

Big Data Engineer

San Antonio, TX · On-site

$50.75 - $67/hr

The ideal candidate has a deep understanding of distributed systems, data processing frameworks ... No cost to you. * Life Insurance - 100% employee coverage. No cost to you. * Additional ...

Cymertek

Big Data Engineer

San Antonio, TX

$50.75 - $67/hr

The ideal candidate has a deep understanding of distributed systems, data processing frameworks ... No cost to you. * Life Insurance - 100% employee coverage. No cost to you. * Additional ...

LTIMindtree

Sr Big Data PySpark- Full time

Irving, TX

$53.50 - $70.75/hr

Design develop and optimize highperformance data processing applications leveraging Apache Spark ... Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave The range ...

Lennar

Sr Data Engineer

Irving, TX · On-site

$109.90K - $132K/yr

Architect and build data pipelines that can process and analyze large-scale datasets in real-time ... Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision ...

Lennar

Sr Data Engineer

Irving, TX · On-site

$109.90K - $132K/yr

Architect and build data pipelines that can process and analyze large-scale datasets in real-time ... Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision ...

Oscar Health

Associate, Provider Data Analytics

Dallas, TX · Remote

$87.19K - $114.43K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... process improvement methodologies such as Lean, Six Sigma Bonus points: * Bachelor's degree in ...

Cymertek

Data Conditioning Systems Engineer

San Antonio, TX · On-site

$104.10K - $125K/yr

Develop and optimize ETL processes * Collaborate with teams to identify data transformation needs ... No cost to you. * Life Insurance - 100% employee coverage. No cost to you. * Additional ...

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Insurance Data Processing information

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

To thrive as an Insurance Data Processing Specialist, you need strong attention to detail, proficiency in data entry, and a solid understanding of insurance terminology, typically supported by a high school diploma or relevant associate degree. Familiarity with insurance management software, claims processing systems, and database tools such as Microsoft Excel is commonly required. Excellent organizational skills, problem-solving abilities, and effective communication help you excel in managing large volumes of sensitive information. These skills ensure accuracy, minimize errors, and support efficient operations within insurance organizations.

What are some common challenges faced in an Insurance Data Processing role and how can they be addressed?

One of the main challenges in Insurance Data Processing is managing large volumes of sensitive data accurately and efficiently, especially when dealing with tight deadlines and evolving regulatory requirements. Errors in data entry or processing can impact claims or policy management, making attention to detail and strong organizational skills essential. To address these challenges, many teams rely on robust data management software, regular training, and collaborative workflows to ensure accuracy and compliance. Proactively seeking feedback and staying updated on industry best practices can also help professionals excel in this role.

What is Insurance Data Processing?

Insurance Data Processing refers to the collection, entry, management, and analysis of data related to insurance policies, claims, customers, and transactions. Professionals in this field use specialized software and systems to ensure that insurance information is accurate, up-to-date, and secure. Their work supports the smooth operation of insurance companies by helping to process claims, issue policies, and generate reports for decision-making. Accuracy and attention to detail are crucial in this role due to the sensitive nature of insurance data.

What is the difference between Insurance Data Processing vs Insurance Claims Processing?

AspectInsurance Data ProcessingInsurance Claims Processing
Required CredentialsTypically high school diploma or equivalent; some roles may require certifications in data managementHigh school diploma or equivalent; often requires knowledge of claims procedures and insurance policies
Work EnvironmentOffice setting, working with databases and data entry systemsOffice environment, interacting with claim documents and insurance systems
Employer & Industry UsageInsurance companies, third-party administrators, data service providersInsurance companies, claims adjusters, third-party claims processors

Insurance Data Processing involves managing and organizing insurance-related data, focusing on data accuracy and database management. Insurance Claims Processing centers on evaluating and processing insurance claims submitted by policyholders, ensuring proper documentation and compliance. While both roles support insurance operations, Data Processing emphasizes data management, whereas Claims Processing focuses on claim evaluation and settlement.

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

Big Data Engineer

Cymertek

San Antonio, TX • On-site

$50.75 - $67/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description

Big Data Engineer
LOCATION
San Antonio, TX 78208
CLEARANCE
TS/SCI Full Poly (Please note this position requires full U.S. Citizenship)
KEY SUMMARY
We are looking for a skilled and motivated Big Data Engineer to join our team and help build scalable, high-performance data systems. In this role, you will design, develop, and maintain data pipelines, ensure efficient data processing, and optimize data storage solutions to support business intelligence and analytics needs. You will work closely with cross-functional teams to handle large-scale datasets, implement best practices in data architecture, and explore innovative technologies in the big data ecosystem. The ideal candidate has a deep understanding of distributed systems, data processing frameworks, and a passion for leveraging data to drive impactful insights. If you are eager to work in a fast-paced, data-driven environment, we want to hear from you.
*** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. ***
SIMILAR CAREER TITLES
Data Engineer, Data Architect, Hadoop Developer, Spark Engineer, ETL Developer, Data Platform Engineer, Cloud Data Engineer, Database Engineer, Data Infrastructure Engineer, Analytics Engineer, etc.
DEGREE (Level Desired)
Bachelor's Degree
DEGREE (Focus)
Computer Science, Data Science, Information Systems, Software Engineering, Electrical Engineering, Mathematics, Statistics, Computational Science, Information Technology, Applied Physics, etc.
ALTERNATE EXPERIENCE
General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.
POSITION RESPONSIBILITIES
  • Experience with designing scalable data pipelines
  • Proficiency in managing big data tools
  • Strong understanding of distributed systems
  • Expertise in data storage optimization
  • Familiarity with data governance practices
  • Ability to ensure data pipeline reliability

REQUIRED SKILLS
  • Proficiency in programming (e.g., Java, Python)
  • Expertise in data processing frameworks (e.g., Spark)
  • Skill in working with data storage systems (e.g., HDFS)
  • Familiarity with data query tools (e.g., SQL)
  • Ability to handle structured and unstructured data
  • Proficiency in data workflow orchestration tools

DESIRED SKILLS
  • Knowledge of real-time data processing
  • Experience with stream processing frameworks
  • Familiarity with NoSQL databases
  • Expertise in cloud-based big data solutions
  • Understanding of data visualization techniques
  • Knowledge of emerging big data technologies

PLUG IN to CYMERTEK - And design your future...
YOUR FOREVER CAREER STARTS HERE
Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development.
At our company, you come first. We're committed to creating an environment where you'll thrive professionally and personally. We provide meaningful, challenging work using cutting-edge technologies while investing in your growth and success. With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional work-life balance, you'll feel valued every day.
We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal, family-friendly, and designed with your well-being in mind. From employee and family events to career-long support, we create a community you'll never want to leave.
Ready to make your next move the best one? Join us and experience the difference.
BENEFITS
  • Excellent Salaries
  • Flexible Work Schedule
  • Cafeteria Style Benefits
  • 10% - 401k Matching (Vested Immediately)
  • Additional 401k Profit Sharing
  • 30 days Paid Leave/Holiday (No Use or Lose!)
  • The day off for your birthday
  • Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus)
  • HSA/FSA
  • AFLAC
  • Long Term/Short Term Disability - 100% employee coverage. No cost to you.
  • Life Insurance - 100% employee coverage. No cost to you.
  • Additional Discretionary Life Insurance
  • Paid Training
  • No long, wordy reviews with tons of paperwork!!!
  • Referral bonus program with recurring annual payments

HOW TO APPLY
Email us at jobs@cymertek.com or apply today: www.cymertek.com
Want to see what our employees think? Click here .
EQUAL OPPORTUNITY EMPLOYER STATEMENT
Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.

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