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Insurance Data Engineer Jobs in Semmes, AL (NOW HIRING)

Senior Data Architect

Semmes, AL · On-site

$56.50 - $75.75/hr

The Data Architect will lead enterprise-scale data initiatives by collecting, engineering, and ... Benefits offered may include health care, dental, vision, life insurance; 401(k); education ...

... our data is clean, accessible, and reliable. Meet the Team: Working in our Human Resources ... Health & Welfare: Comprehensive insurance coverage including medical (traditional and high ...

Senior Mechanical Engineer - Data Center

Mobile, AL · On-site

$104K - $137K/yr

Provide expert consultant mechanical engineering advice to our clients in the data center space ... These benefits include medical, dental, and vision, EAP, 401K, STD, LTD, AD&D, life insurance, paid ...

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound ... Based on eligibility, we offer many programs including medical, dental, vision, life insurance ...

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound ... Based on eligibility, we offer many programs including medical, dental, vision, life insurance ...

Health & Welfare: Comprehensive insurance coverage including medical (traditional and high ... Test Data Assessment: Analyze, interpret, and evaluate specialized aircraft system test data ...

Quality Engineer

Bay Minette, AL · On-site

$72K - $93K/yr

Lead Root Cause Analysis and corrective actions using data-driven tools (5-Whys, Fishbone, Six ... Comprehensive benefits - Health, dental, vision, 401(k) with match, PTO, FSA, life insurance, short ...

Quality Engineer

Bay Minette, AL

$72K - $93K/yr

Lead Root Cause Analysis and corrective actions using data-driven tools (5-Whys, Fishbone, Six ... Comprehensive benefits - Health, dental, vision, 401(k) with match, PTO, FSA, life insurance, short ...

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Insurance Data Engineer information

See Semmes, AL salary details

$37.4K

$108.9K

$149K

How much do insurance data engineer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for insurance data engineer in Semmes, AL is $108,896.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,100.00 and $115,400.00 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 Semmes, AL? For Insurance Data Engineer jobs in Semmes, AL, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Semmes, AL look for? The top searched job categories for Insurance Data Engineer jobs in Semmes, AL are:
What cities near Semmes, AL are hiring for Insurance Data Engineer jobs? Cities near Semmes, AL with the most Insurance Data Engineer job openings:

$56.50 - $75.75/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 hours ago


ASRC Federal rating

7.7

Company rating: 7.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

190th of 356 rated engineering


Job description

ASRC Federal is a leading government contractor furthering missions in space, public health and defense. As an Alaska Native owned corporation, our work helps secure an enduring future for our shareholders. Join our team and discover why we are a top veteran employer and Certified Great Place to Work™
JOB DESCRIPTION
ASRC Federal is looking for an experienced Data Architect - Senior to support their work with the U.S. Army Contracting Command (ACC) Chief Information Officer (CIO) at Redstone Arsenal, AL. The Data Architect will lead enterprise-scale data initiatives by collecting, engineering, and modeling data from multiple disparate sources to deliver actionable insights and support strategic decision-making across ACC.
This role involves the design, implementation, and maintenance of scalable data architectures, predictive modeling, data normalization, and knowledge-sharing initiatives. The Data Architect will also be responsible for creating intelligent solutions that align with organizational goals, KPIs, and secure data governance standards, as well as supporting workforce training and continuous data literacy development.
KEY RESPONSIBILITIES

  • Collect, analyze, clean, normalize, and model large datasets from varied sources
  • Develop, test, and implement predictive models, AI/ML algorithms, and advanced statistical analyses
  • Design and maintain data pipelines, ETL processes, data lakes, and data warehouses
  • Create enterprise strategies and data-driven solutions to support ACC operations and mission success
  • Design and enforce data governance, quality, and security standards including data labeling
  • Present data-driven results clearly and effectively to leadership and stakeholders
  • Develop and report metrics aligned to Government-defined KPIs
  • Design and build APIs to access data and systems
  • Facilitate and manage data storage, cataloging, and retrieval for accessible knowledge sharing
  • Promote cross-team collaboration through data transparency, tools, and structured documentation
  • Lead lessons-learned initiatives, apply industry best practices, and support process improvement
  • Conduct Command-wide training and awareness initiatives to promote data literacy and secure usage
  • Participate in workshops, seminars, and conferences to support enterprise data advancement
REQUIRED QUALIFICATIONS
  • Minimum of 5 years of experience in data architecture, data engineering, or analytics
  • Experience in one or more of the following:
    • Enterprise data architecture and governance
    • Building data pipelines and ETL processes
    • Data modeling and predictive analytics
    • Statistical tools, programming languages (e.g., Python, R, SQL)
    • Cloud-based and on-premises data platforms
  • Familiarity with designing and building APIs
  • Strong communication skills with the ability to explain complex concepts to non-technical audiences
  • Demonstrated ability to lead strategic data initiatives and support training across large organizations
PREFERRED QUALIFICATIONS
  • Master's degree in a data-related field
  • Experience with AI/ML platforms, data visualization tools, and DoD data environments
  • Familiarity with data cataloging tools and metadata management systems
  • Certifications in data engineering, architecture, or analytics (e.g., AWS Certified Data Analytics, Azure Data Engineer, CDMP)
  • Experience implementing data classification and security frameworks in government environments
CLEARANCE LEVEL
  • SECRET Clearance
EDUCATION REQUIRMENTS
  • Bachelor's degree in a related field
CERTIFICATION
  • N/A
WORK ENVIRONMENT AND PHYSICAL DEMANDS:
  • This role is 100% on-site at Redstone Arsenal, AL.

We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); education assistance; paid time off including PTO, holidays, and any other paid leave required by law. The salary offered will depend on several factors including, but not limited to, relevant experience, skills, education, geographic location, internal equity, business needs, and other factors permitted by law. Posted pay ranges are a general guideline only and are not a guarantee of compensation or salary.
EEO Statement
ASRC Federal and its Subsidiaries are Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, gender, color, age, sexual orientation, gender identification, national origin, religion, marital status, ancestry, citizenship, disability, protected veteran status, or any other factor prohibited by applicable law.

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