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Bell Data Engineer Jobs (NOW HIRING)

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Bell Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do bell data engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for bell data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a Bell Data Engineer?

A Bell Data Engineer is a professional who designs, builds, and maintains the data infrastructure for Bell, a major telecommunications company. They are responsible for developing data pipelines, managing large-scale databases, and ensuring the quality and security of data used for analytics and business operations. Bell Data Engineers work closely with data scientists and business analysts to deliver reliable data solutions that support decision-making and innovation within the company.

What are the key skills and qualifications needed to thrive as a Bell Data Engineer?

To excel as a Bell Data Engineer, you need a strong background in data engineering, proficiency in programming languages such as Python or Scala, and a thorough understanding of database management, typically supported by a degree in computer science or a related field. Experience with big data tools like Hadoop, Spark, and cloud platforms (such as AWS or Google Cloud), as well as relevant certifications, is highly valued. Strong problem-solving abilities, teamwork, and effective communication skills are crucial soft skills for this role. These competencies enable the efficient design, implementation, and maintenance of data pipelines that support business insights and operational efficiency.

How does a Bell Data Engineer typically collaborate with cross-functional teams during data pipeline development?

As a Bell Data Engineer, you'll frequently work alongside data scientists, analysts, and application developers to design and optimize data pipelines. Collaboration usually involves gathering requirements, ensuring data quality, and integrating data from various sources to support business analytics and operational needs. Regular meetings, code reviews, and shared documentation are common practices to ensure alignment and address challenges quickly. This collaborative environment not only helps deliver robust data solutions but also offers exposure to different aspects of the business and technology stack.

What is the difference between Bell Data Engineer vs Bell Data Analyst?

AspectBell Data EngineerBell Data Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentBuilds data pipelines, manages databases, works with cloud platformsInterprets data, creates reports, visualizes data insights
Employer & Industry UsageTech companies, telecom, finance, manufacturingMarketing firms, finance, healthcare, retail

Bell Data Engineers focus on designing and maintaining data infrastructure, while Bell Data Analysts interpret data to provide actionable insights. Both roles are essential in data-driven organizations but differ in their core responsibilities and skill sets.

What are popular job titles related to Bell Data Engineer jobs?

For Bell Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Bell Data Engineer job openings in the United States as of September 2026, with employment types broken down into 72% Full Time, 14% Contract, and 14% Nights. Highlights an 100% In-person job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Principal Data Scientist

Virginia Beach, VA • On-site

Blue Cross and Blue Shield of North Carolina
Insurance Services • 5 - 10K employees
Learn more about Blue Cross and Blue Shield of North Carolinaexternal

$143K - $229K/yr

Other

Medical, Retirement, PTO

Re-posted 3 days ago

Key responsibilities

  • Lead the development and testing of hypotheses across all functional data sets

  • Design and develop scalable, efficient data pipeline processes for data ingestion, cleansing, transformation, integration, and validation

  • Identify actionable insights, suggest recommendations, and communicate results to influence business decisions

Blue Cross and Blue Shield of North Carolina rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

Job description

Job Description

The Principal Data Scientist will serve as the principal lead to provide accurate and quality analyses that translate data in sound organizational decisions. In this role you will provide strategic thought leadership and partner with other functional areas to deliver collaborative work products that align with divisional and enterprise strategy. You will own delivery of multiple large and/or complex data science and engineering projects.

What You'll Do

  • Lead in the development and testing of hypotheses across all functional data sets

  • Lead requirements gathering sessions with business and technical staff to distill technical requirement from business requests

  • Define and implement integrated data models, allowing integration of data from multiple sources

  • Design and develop scalable, efficient data pipeline processes to handle data ingestion, cleansing, transformation, integration, and validation

  • Define and implement data stores based on system requirements and consumer requirements

  • Design and develop models to understand and solve multiple complex business solutions using a variety of methods including data mining, statistical analysis, predictive modeling and analysis, stochastic modeling, pattern recognition, probability analysis, and network analysis

  • Design and implement production models leveraging technologies such Python, and R

  • Leverage existing data sets and engineer new data sets including development of SQL queries, data integration and resolution of data quality issues

  • Apply advanced conceptual understanding of Big Data systems to data set engineering and analytic model implementation

  • Lead development and reviews of complex analytic models and algorithms

  • Identify actionable insights, suggest recommendations, and influence business direction by effectively communicating results to cross functional groups

  • Document and test analytic processes including performance and thorough data validation and verification

  • Engage with enterprise business areas to incorporate feedback into audit process including but not limited to Payment Integrity, SIU, Provider, Behavioral Health, Med Policy, Claims, Pharmacy
  • Articulate analytic methods and drive business outcomes with responsible business areas
  • Consult with executive level leadership across the organization- with responsibility to drive CoC ideation for Commercial and Medicare
  • Informally lead other analysts and synthesize information and make recommendations to executive leadership
What You Bring

  • Bachelor's degree or advanced degree (where required)

  • 8+ years of experience in related field.

  • In lieu of degree, 10+ years of experience in related field.

  • Strong Analytic/Data Science skills:

  • Experience with Snowflake

  • Experience building AI Agents

  • Understand Bell curve analysis

  • Incorporate Industry benchmarks into analysis

  • Perform outlier detection

  • Strong healthcare experience with Payment Integrity/FWA business knowledge is required

  • understanding of FWA concepts, CMS guidelines, Medical/Reimbursement Policy are all strongly preferred

Salary Range

At Blue Cross NC, we take great pride in a fair and equitable compensation package that reflects market-price and our starting salaries are typically planned near the middle of the range listed. Compensation decisions are driven by factors including experience and training, specialized skill sets, licensure and certifications and other business and organizational needs.Our base salary is part of a robust Total Rewards package that includes an Annual Incentive Bonus*, 401(k) with employer match, Paid Time Off (PTO), and competitive health benefits and wellness programs.

*Based on annual corporate goal achievement and individual performance.

$143,616.00 - $229,786.00

Skills

Big Data, Complex Data Analysis, Data Analysis, Data Engineering, Data Mining, Data Modeling Techniques, Data Science, Data Visualization, Machine Learning (ML), Predictive Analytics, Predictive Modeling, Python (Programming Language), Statistical Analysis, Statistical Models

_____________________________________________________________________
JOB ALERT FRAUD: We have become aware of scams from individuals, organizations, and internet sites claiming to represent Blue Cross and Blue Shield of North Carolina in recruitment activities in return for disclosing financial information. Our hiring process does not include text-based conversations or interviews and never requires payment or fees from job applicants. All our career opportunities are published on https://bcbsnc.wd5.myworkdayjobs.com/en-US/BCBSNC. If you have already provided your personal information that you suspect is fraudulent activity, please report it to your local authorities. Any fraudulent activity should be reported to: HR.Staffing@BCBSNC.com.

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