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Data Engineer Jobs in Philadelphia, MS (NOW HIRING)

Manufacturing Engineer

Philadelphia, MS · On-site

$62K - $80K/yr

Review manufacturing data for accuracy and process effectiveness. * Develop reports and dashboards ... Manufacturing Engineering coursework or experience. * Lean Manufacturing or Six Sigma training.

Manufacturing Engineer

Philadelphia, MS · On-site

$62K - $80K/yr

Review manufacturing data for accuracy and process effectiveness. * Develop reports and dashboards ... Manufacturing Engineering coursework or experience. * Lean Manufacturing or Six Sigma training.

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 ...

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 ...

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 ...

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

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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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 Aug 5, 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.

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 is a data engineer?

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
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:
Infographic showing various Data Engineer job openings in Philadelphia, MS as of July 2026, with employment types broken down into 66% Full Time, and 34% Contract. Highlights an 100% In-person job distribution, with an average salary of $111,503 per year, or $53.6 per hour.

Manufacturing Engineer

THE TAYLOR GROUP INC

Philadelphia, MS • On-site

$62K - $80K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Taylor Sudden Service provides exclusive worldwide distribution of genuine Taylor OEM parts and forklift service for equipment designed, manufactured, and marketed by Taylor Machine Works, Inc. Backed by a network of parts and service centers, nationwide dealer support organizations, and factory-trained service technicians, SSI is committed to providing the best parts and service support in the industry. We offer training schools for our service technicians on a regular basis, ensuring the best possible service to Taylor Machine Works’ customers. Sudden Service, INC (SSI) is a subsidiary of the Taylor Group of Companies, a third-generation family-owned business based in Louisville, MS since 1927. 

Position Summary

The Manufacturing Engineer is responsible for designing, implementing, improving, and managing manufacturing and remanufacturing processes at the SSI Philadelphia Distribution & Operations Center (DOC). This position supports the production of aftermarket replacement parts and the rebuilding of complete lift trucks, assemblies, engines, transmissions, axles, and components.

The Manufacturing Engineer works closely with Production, Quality Control, Supply Chain, Service, and Engineering personnel to improve safety, quality, productivity, delivery performance, and cost. Responsibilities include manufacturing process development, machining and welding process support, tooling and fixture design, ERP integration, data analysis, capacity planning, continuous improvement projects, and technical problem solving.

Essential Duties and Responsibilities

Manufacturing Process Development

  • Design, develop, document, and implement manufacturing processes for parts production, component rebuilding, and complete equipment refurbishment.
  • Evaluate and improve manufacturing methods, workflow, tooling, fixtures, equipment, and material handling systems.
  • Develop standardized work instructions and manufacturing procedures.
  • Coordinate process improvements with Production Supervision and Operations personnel.

Machining and Fabrication Support

  • Support machining operations including CNC machining, process routing, work holding, tooling selection, and setup reduction.
  • Support fabrication operations including cutting, burning, bending, fitting, welding, and assembly processes.
  • Develop and improve welding and fabrication methods to improve quality and efficiency.
  • Troubleshoot manufacturing issues involving dimensional accuracy, weld quality, material flow, and process capability.
  • Assist with fixture and jig design to improve productivity and repeatability.

Rebuild and Remanufacturing Operations

  • Develop and improve processes for: 
    • Complete forklift rebuilding
    • Engine rebuilding
    • Transmission rebuilding
    • Axle rebuilding
    • Hydraulic component rebuilding
    • Aftermarket service parts manufacturing
  • Analyze repair and rebuild operations to reduce cycle times and improve throughput.
  • Establish standards for rebuild quality, process consistency, and labor efficiency.

ERP and Manufacturing Systems Integration

  • Support ERP system integration with manufacturing operations.
  • Create and maintain manufacturing routings, bills of material, labor standards, and work center information.
  • Review manufacturing data for accuracy and process effectiveness.
  • Develop reports and dashboards to support operational decision making.
  • Assist in implementation of digital manufacturing and data collection initiatives.

Continuous Improvement

  • Lead and support Lean Manufacturing and Continuous Improvement projects.
  • Perform root cause analysis for quality, production, and operational issues.
  • Conduct time studies and workflow analysis to improve labor utilization and productivity.
  • Identify waste reduction opportunities in materials, labor, inventory, and manufacturing processes.

Research and Data Analysis

  • Collect and analyze operational data to identify trends and opportunities for improvement.
  • Develop performance metrics related to productivity, quality, cost, delivery, and safety.
  • Conduct economic analysis and return-on-investment studies for capital expenditures and process improvements.
  • Research new manufacturing technologies, equipment, tooling, and automation opportunities.

Education Requirements

Required:

  • Bachelor of Science in Mechanical Engineering (BSME), or
  • Bachelor of Science in Industrial Engineering (BSIE)

Preferred:

  • Manufacturing Engineering coursework or experience.
  • Lean Manufacturing or Six Sigma training.
  • Process improvement experience.

Experience Requirements

Preferred Qualifications:

  • Experience in manufacturing, fabrication, machining, welding, assembly, or remanufacturing environments.
  • Experience with ERP/MRP systems.
  • Experience with process improvement and data analysis.
  • Experience using CAD software and manufacturing drawings.
  • Knowledge of manufacturing methods, tooling, fixtures, and production systems.

Knowledge, Skills, and Abilities

  • Strong analytical and problem-solving skills.
  • Working knowledge of manufacturing and industrial engineering principles.
  • Ability to interpret engineering drawings and specifications.
  • Understanding of machining, welding, fabrication, and assembly processes.
  • Proficiency with Microsoft Excel, Word, Outlook, and data analysis tools.
  • Strong organizational and project management abilities.
  • Effective written and verbal communication skills.
  • Ability to manage multiple projects simultaneously.
  • Ability to work effectively in both office and production environments.
Benefits 
  • Medical/Prescription
  • Dental
  • Vision
  • 401K
  • Vacation 
  • 10 Holidays
  • Life Insurance 

SSI is an Equal Opportunity Employer.  All Qualified Applicants Will Receive Consideration for Employment without Regard to Age, Race, Color, Religion, Sex, Disability, National Origin, or Status as a Protected Veteran.