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Bell Data Engineer Jobs (NOW HIRING)

SmartIPlace

Sr Data Engineer

Blue Bell, PA · On-site

$109K - $131K/yr

Job Title: Sr Data Engineer Location ... Blue Bell, PA Requirement Healthcare, Medical & Pharmacy Claims Experience. The ideal candidate ...

SmartIPlace

Sr Data Engineer

Blue Bell, PA · On-site

$109K - $131K/yr

Job Title: Sr Data Engineer Location ... Blue Bell, PA Requirement Healthcare, Medical & Pharmacy Claims Experience. The ideal candidate ...

Bell Flight

Quality Metrology Engineer

Fort Worth, TX · On-site

Today, Bell is shaping the future of aviation through specialized engineering. And we want you. We ... Perform data reduction and postprocessing using Spatial Analyzer, Polyworks, PCDMIS, and Creaform ...

Bell Flight

Aircraft Tool Maker, Bell Wichita FLRAA

Wichita, KS · On-site

$13.25 - $18/hr

Today, Bell is shaping the future of aviation through specialized engineering. And we want you. We ... Basic computer literacy for logging tool data and accessing digital work instructions. Adaptability ...

Bell Flight

Avionics Integration Engineer

Fort Worth, TX · On-site

Today, Bell is shaping the future of aviation through specialized engineering. And we want you. The ... Multi-function Displays, Digital Map, GPS, IFF, ADS-B, TCAS, ILS, Radar Altimeter, Air Data, MUOS ...

Yum

Customer Data Portfolio Project Mgr

Irvine, CA · On-site

$55.50 - $75.25/hr

Taco Bell was born and raised in California and has been around since 1962. We went from selling ... Work across Lifecycle, Loyalty, Digital Product, Data, Analytics, Data Science, Data Engineering ...

YUM

Customer Data Portfolio Project Mgr

Irvine, CA · On-site

$55.50 - $75.25/hr

Taco Bell was born and raised in California and has been around since 1962. We went from selling ... Work across Lifecycle, Loyalty, Digital Product, Data, Analytics, Data Science, Data Engineering ...

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All JobsBell Data Engineer Jobs

Bell Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do bell data engineer jobs pay per year?

As of Sep 10, 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.

Sr Data Engineer

Blue Bell, PA • On-site

SmartIPlace
IT Services • 51 - 200 employees
Learn more about SmartIPlaceexternal

$109K - $131K/yr

Contractor

Re-posted 3 days ago

Job description

Hi,

I hope you are doing well.

Please find the job details below:

Job Title: Sr Data Engineer 
Location: Blue Bell, PA

Requirement
Healthcare, Medical & Pharmacy Claims Experience.
The ideal candidate will be responsible for troubleshooting data issues, backend support UI development, which includes but is not limited to managing data implementations, data integrations, data production, data quality, and data security.
Responsibilities:
Create, maintain and execute complex SQL queries for data management and data validation.
Demonstrates subject matter expertise in relation to data mapping, transformations, validations, and ingestion workflows. Monitor data workflows and ensure data quality, consistency, and reliability.
Design and implement scalable and secure data architectures to support new and existing applications.
Perform production solutions and services configurations as needed.
Serve as a change agent to identify organizational improvements and make recommendations to improve business processes. Collaborate with cross-functional teams including technical product owners, analysts, and software engineers.
Create and maintain SOP documents. Participate in code reviews, sprint planning, and architectural discussions.
Mentor junior engineers and promote best practices in data engineering.
Participate in meetings with clients and/or stakeholders.
Completes work as assigned.
Provide after-hours or weekend support as needed. Demonstrate an ability to work independently.
Adhere to all the industry level and organization level compliance rules and regulations to maintain data integrity.
Complete task assignments using department ticketing/productivity systems within assigned deadline.
Achieve organizational and individual goals as identified in performance reviews and goal setting exercises.
This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required.
This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.
Qualifications:
Bachelor’s degree in Computer Science, Information Technology or equivalent work experience.
8+ years of experience in data engineering or a related role. 8+ years of data analysis.
Preferably in the Healthcare industry of enrollment, medical claims and/or pharmacy claims.
8+ years hands-on work in SQL and/or PL/SQL. Familiarity designing, implementing, and optimizing data models in NoSQL databases (e.g., MongoDB, Cassandra, neo4j) to support high-volume, low-latency workloads.
Working knowledge of big data/cloud technologies (Databricks, AWS, Azure, Hadoop, Spark, Snowflake etc.) is preferred. Expertise in Microsoft Office Suite applications PowerPoint, Word, Excel and Outlook.
Flexible work schedule.
Experience with project management tools like JIRA.
Strong understanding of agile development practices, preferably SAFe. Strong analytical skills. Excellent verbal, listening and written communication skills.
Cognitive/Mental Requirements:
Ability to multitask and prioritize projects to meet scheduled deadlines and tight turnaround times.
Ability to work well independently or in a team environment.
Communicating with others to exchange information.
Assessing the accuracy, neatness and thoroughness of the work assigned.
Working Conditions and Physical Requirements: Remaining in a stationary position, often standing or sitting for prolonged periods. Repeating motions that may include the wrists, hands, and/or fingers.
No adverse environmental conditions expected.
Must be able to provide a dedicated, secure work area.
Must be able to provide high-speed internet access / connectivity and office setup and maintenance.
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About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

Social media

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