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Data Engineer Jobs in Philadelphia, MS (NOW HIRING)

Raytheon

Sr. Automation Systems Engineer III

Forest, MS

$95K - $125K/yr

We bring the strength of more than 100 years of experience and renowned engineering expertise to ... Data analysis experience. * Strong communication skills including the ability to convey complex ...

Raytheon Technologies

Test Technician Sr.

Forest, MS · On-site

Utilize various engineering and scientific drawings, manuals, and other related documentation in the performance of their tasks. May include configuration/data administration. Checks for work ...

Raytheon

Test Technician Sr.

Forest, MS

Utilize various engineering and scientific drawings, manuals, and other related documentation in the performance of their tasks. May include configuration/data administration. Checks for work ...

Raytheon

Lead Test Technician - 3rd Shift

Forest, MS

... data accurately, supporting more senior technicians and engineers. - Utilize engineering and scientific drawings, manuals, and documentation to perform tasks, ensuring compliance with procedures ...

Raytheon

Test Technician 3 - 2nd Shift

Forest, MS

Observes, analyzes, and reports test data; and when appropriate makes necessary repairs to ... Selects, sets up and operates engineering and scientific equipment. * Effectively communicate ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Philadelphia, MS

Data Engineer information

See Philadelphia, MS salary details

$38.3K

$111.5K

$152.6K

How much do data engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data engineer in Philadelphia, MS is $111,503.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $118,200.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
What job categories do people searching Data Engineer jobs in Philadelphia, MS look for? The top searched job categories for Data Engineer jobs in Philadelphia, MS are:
What cities near Philadelphia, MS are hiring for Data Engineer jobs? Cities near Philadelphia, MS with the most Data Engineer job openings:
Data Engineer jobs near you
Supplier Development Engineer

Supplier Development Engineer

Taylor Group

Louisville, MS • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 19 days ago

Job description

Position in the Organization
Works under the responsibility of the EVP, Americas and functionally reports to the Supply Chain Manager.
Purpose of the Position
The purpose of the Supplier Development Engineer role is to improve supplier performance and ensure that suppliers comply with the company's quality and process standards.
Job Description - Main Tasks
The main responsibilities of a Supplier Development Engineer are divided into the following areas:
  • Strategy and Planning
    • Co-developing and implementing strategic plans for suppliers and the SDE and Procurement departments.
  • Supplier Audits
    • Conducting audits to ensure suppliers meet performance, delivery, and reliability requirements.
  • Supplier Onboarding
    • Leading the industrialization and readiness of suppliers for components and services, ensuring alignment with program timelines and quality requirements.
  • Quality Management
    • Promoting Advanced Product Quality Planning (APQP) and maintaining Production Part Approval Process (PPAP) requirements.
  • Performance Monitoring
    • Developing and monitoring KPIs for industrialization projects, such as process capability indices (R&R), defect rates, etc.
  • Problem Solving
    • Facilitating structured problem-solving methodologies to address defects and process deviations, such as 8D and 5-Why.
  • Collaboration
    • Collaborating with internal and external stakeholders to identify and implement improvement opportunities.
    • Advising Category Managers on SDE-related topics.
Subtasks
  • Managing and monitoring tooling at external parties.

Role Characteristics
The role characteristics of a Lead Supplier Development Engineer are diverse and challenging. They encompass a wide range of skills and responsibilities that are essential to successfully safeguarding and ensuring compliance with the company's quality and process standards. Below is an overview of the key role characteristics:
  • Analytical Skills
    • Data analysis: Ability to analyze figures, supplier and/or customer feedback, and other data to identify improvement opportunities.
    • Financial analysis: Understanding costs, margins, and profitability to support sound decision-making.
  • Strategic Thinking
    • Setting objectives: Ability to define clear objectives for internal and external stakeholders.
    • Strategy development: Developing strategies based on analyses and objectives.
    • Long-term vision: Anticipating future developments in the company and market.
  • Commercial Skills
    • Commercial awareness: Understanding how quality improvement can be commercially driven.
    • Stakeholder focus: Understanding stakeholder needs to improve supplier performance and customer satisfaction.
  • Communication Skills
    • Collaboration: Working effectively with multiple departments and disciplines.
    • Presentation skills: Clearly presenting results, plans, and ideas.
    • Networking: Building and maintaining a professional network.
    • Proactively resolving issues that arise during processes.
  • Technical Knowledge
    • In-depth knowledge of production and logistics processes, quality control, and engineering principles.
  • Organizational Skills
    • Project management: Managing projects such as product launches or supplier onboarding.
    • Planning and organization: Maintaining overview and effective planning.
    • Time management: Managing deadlines and priorities.
  • Quality Standards
    • Experience with ISO 9001 or other relevant quality standards.
Physical Aspects
Although the role focuses mainly on strategic thinking, analysis, and communication, physical aspects are also relevant.
  • Workplace Ergonomics
    • Desk work: Prolonged sitting may cause back, neck, or shoulder complaints.
    • Screen use: Extended screen time may cause eye strain and headaches.
    • Repetitive movements: Mouse and keyboard use may lead to RSI complaints.
  • Travel
    • Supplier visits: Regular domestic and international travel, potentially physically demanding.
    • Trade fairs and events: Attendance may involve long days of standing and walking.
    • Conferences and training sessions: Travel may also be required.
  • Physical Load
    • Stress: Deadlines and responsibilities may result in physical symptoms such as headaches, fatigue, or sleep disturbances.
  • Environmental Factors
    • Office environment: Temperature, air quality, and noise can influence physical well-being.
Benefits
  • 10 Paid Holidays
  • 3 Weeks of Accrued Vacation
  • Paid Medical Time
  • Bereavement
  • Health Insurance
  • 401k / Roth Benefits with Employer Match
  • Flexible Spending Account
  • Employer Paid Life
  • Voluntary Insurance Options

This job description is indicative and not exhaustive. The role holder is expected to perform all reasonable tasks assigned.

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