Data Engineer Salary at Lio Insurance Co BETA

How much does a Lio Insurance Co Data Engineer make?

As of April 2025, the average annual salary for a Data Engineer at Lio Insurance Co is $115,257, which translates to approximately $55 per hour. Salaries for Data Engineer at Lio Insurance Co typically range from $104,514 to $124,273, reflecting the diverse roles within the company.

It's essential to understand that salaries can vary significantly based on factors such as geographic location, departmental budget, and individual qualifications. Key determinants include years of experience, specific skill sets, educational background, and relevant certifications. For a more tailored salary estimate, consider these variables when evaluating compensation for this role.

DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.

LIO Insurance Co Overview

Website:
lioinsurance.com
Size:
<25 Employees
Revenue:
<$5M
Industry:
Insurance

LIO Insurance Company is a specialized commercial insurance carrier. Our mission is to combine our deep insurance expertise with state-of-the-art digital capabilities to provide a truly unique and pleasant insurance experience. Our purpose is to make the process of selecting and purchasing specialized insurance policies for condominium and homeowner associations faster, easier, and more intuitive.

See similar companies related to Lio Insurance Co

What Skills Does a person Need at Lio Insurance Co?

At Lio Insurance Co, specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.

  1. SQL: Structured Query Language) is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS).
  2. Python: Applying the concepts and algorithms of Python to design, develop and maintain software applications to comply with business requirements.
  3. Data engineering: Data engineering is the practice of designing and building systems for collecting, storing, and analyzing data at scale
  4. AWS: Amazon Web Services, Inc. is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis.
  5. Big Data: Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. Other concepts later attributed to big data are veracity (i.e., how much noise is in the data) and value. Current usage of the term big data tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. "There is little doubt that the quantities of data now available are indeed large, but that's not the most relevant characteristic of this new data ecosystem." Analysis of data sets can find new correlations to "spot business trends, prevent diseases, combat crime and so on." Scientists, business executives, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data-sets in areas including Internet searches, fintech, urban informatics, and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, biology and environmental research.

Related Jobs

Insight Global
Mount Laurel , NJ

Required Skills & Experience - 5+ years' Data Engineering and Data Modeling experience - Python/PySpark Experience - Databricks experience - Experience building Data Models for Analytics purposes - Ability to explain business problems solved by Data Models - Expert SQL Nice to Have Skills & Experience - Banking experience - Experience supporting Financial Crimes division Job Description Insight Global is seeking a Data Engineer for a long-term contract opportunity with a large Banking client. This person will leverage various statistical and advanced techniques to identify emerging risks, patterns and typologies to predict financial crime activities and risks. This team develops and maintains scalable data models to support the analytics framework, and provide actionable insight to multiple departments. They will also be responsible for all project/release testing (e.g. integration, business acceptance, performance, operability, deployment verification), and oversee and lead a large an


Sponsored
4/20/2025 12:00:00 AM
Macquarie
Philadelphia , PA

Email Work in an exciting and agile environment where you will have the opportunity to collaborate with a team of developers to shape our technical runway. At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 34 markets and with 55 years of unbroken profitability. You'll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes. What role will you play? Press space or enter keys to toggle section visibility Working with senior engineers, data analysts, and business users you would be building new pipelines and technical solutions that provide data to our data platform and enable reporting and analytics. You would be responsible for supporting existing pipelines and working with central platform teams to resolve errors and to implement new features. What you offer Press space or enter keys to toggle section


Sponsored
4/20/2025 12:00:00 AM
Guardian Life Insurance Company
Bethlehem , PA

Overview: We are seeking a highly skilled and motivated Data Engineer to join the Enterprise Data & AI team. In this role, you will play a crucial part in designing, building, and maintaining the data pipelines that power our predictive & descriptive use cases. You Will: Design, build and maintain robust & scalable data pipelines to feed descriptive analytics, predictive analytics, and reporting use cases. Construct meaningful data assets sourced from structured, semi structured, and unstructured data. Ensure data quality, accuracy and integrity of the data assets created. Automate the data pipelines end to end. Participate in data modeling and schema design. Work closely with business partners, data scientists & BI team to understand the business process and data needs to translate them into an effective data solution.5 bullet points or sentences here Collaborate with Stakeholders, Analysts, Data Scientists to understand the data requirements & deliver optimal solutions. Collaborate w


Sponsored
4/20/2025 12:00:00 AM
TriOptus LLC
Philadelphia , PA

Data Model and Structure Definition: •Design and develop conceptual, logical, and physical data models for data sets across a variety of financial data sets. •Collaborate with product management and the economic research team to understand data requirements and translate them into effective data models. •Ensure data models are aligned with business goals and effectively support transactional, analytical and operational needs. Data Integration and ETL: •Design and implement ETL processes to integrate data from various sources into the data lakes. •Ensure data quality, consistency, and integrity throughout the data lifecycle. •Develop and maintain documentation for data models and ETL processes. Minimum Requirements: •5+ years' experience working within AWS technologies (S3, Redshift, RDS, etc.). •3+ years' experience working with dbt. •3+ years of experience with orchestration tooling (Airflow, Prefect, Dagster). •Strong programming skills in languages such as Python or Java. •Familiari


Sponsored
4/18/2025 12:00:00 AM
Efficus, Inc.
Malvern , PA

Responsibilities Data Engineers will be data mining, writing code, and creating tables/environments in S3 Qualifications Engineer required - SQL, Python, Pyspark, S3, AWS, environment creation Preferable for both - retail business knowledge, technical documentation


Sponsored
4/18/2025 12:00:00 AM
Munich RE
Princeton , NJ

Data Engineer Company Munich Re Specialty - North America Location Princeton , United States Data Engineer/Analyst We're adding to our diverse team of experts and are looking to hire those who are committed to building a culture that enables the creation of innovative solutions for our business and clients. The Insurance Operations Munich Re Specialty North America provides extensive, specialty property and casualty insurance solutions to customers through select brokers, Managing General Agents, program administrators, cover holders and insurtech partners. Products include: property, casualty, professional liability and other specialty insurance solutions. Our comprehensive, customized solutions are provided by A+ rated carriers and are tailored to clients' needs. We offer superior service levels, industry-recognized underwriting and claims expertise and innovative approaches to complex and evolving risks. Munich Re Specialty North America is a description for the insurance business o


Sponsored
4/18/2025 12:00:00 AM
Accenture
Philadelphia , PA

Are you ready to step up to the New and take your technology expertise to the next level? Join Accenture and help transform leading organizations and communities around the world.? The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance.? Choose Accenture and make delivering innovative work part of your extraordinary career. As part of our Google Cloud Platform practice, you will lead technology innovation for our clients through robust delivery of world-class solutions.?? There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology experts who are highly collaborative taking on todays biggest, most complex business challenges.? We will nurture your talent in an inclusive culture that v


Sponsored
4/18/2025 12:00:00 AM
Bentley Systems
Exton , PA

**Data Engineer** **Location:** Anywhre in the US (HomeBased) We are seeking a Data Engineer to join the Data team. This role will help deliver, maintain and evolve our new enterprise data platform, fulfilling our mission to empower our colleagues with access to trusted data, while enabling self-service analytics at scale across the entire organization. In this role, the data engineer will translate business requirements into value, embracing a product-focused approach in aiding the creation and roll-out of innovative data products. We are seeking a data and tech enthusiast who can help the team inspire a data-driven culture across Bentley. **Responsibilities** ? + Design, develop, and maintain efficient data pipelines to serve applications and stakeholders. + Create excellent engineering solutions in a modern cloud tech stack. + Establish and maintain data quality checks and verifications to ensure the accuracy and reliability of data + Enhance data processing and optimizing workflows


Sponsored
4/17/2025 12:00:00 AM

Check more jobs information at Lio Insurance Co

Job Title Average Lio Insurance Co Salary Hourly Rate
2 Billing Specialist $72,911 $35
3 Chief Administrative Officer $258,078 $124
4 Chief Executive Officer $754,780 $363
5 Manager, Compliance $114,752 $55
6 Program Manager $134,066 $64
7 Vice President, Product $112,177 $54
8 Chief Financial Officer $393,509 $189
9 IT Operations Analyst $74,367 $36
10 Underwriting Intern $46,556 $22
11 Director, Business Intelligence $163,959 $79
12 Senior Service Specialist $53,419 $26

Hourly Pay at Lio Insurance Co

The average hourly pay at Lio Insurance Co for a Data Engineer is $55 per hour. The location, department, and job description all have an impact on the typical compensation for Lio Insurance Co positions. The pay range and total remuneration for the job title are shown in the table below. Lio Insurance Co may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $115,257 look to you?

FAQ about Salary and Jobs at Lio Insurance Co

1. How much does Lio Insurance Co pay per hour?
The average hourly pay is $55. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
2. What is the highest salary at Lio Insurance Co?
According to the data, the highest approximate salary is about $124,273 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
3. What is the lowest pay at Lio Insurance Co?
According to the data, the lowest estimated salary is about $104,514 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
4. What steps can an employee take to increase their salary?
There are various ways to increase the wage. Level of education: An employee may receive a higher salary and get a promotion if they obtain advanced degrees. Experience in management: an employee with supervisory experience can increase the likelihood to earn more.