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Data Engineering Specialist Jobs (NOW HIRING)

Snowflake

Principal Data Platform Architect

Menlo Park, CA · On-site

$189K - $248K/yr

Our Solution Engineering organization is seeking a Data Engineering Specialist to join our Applied Field Engineering team who can provide technical leadership in working with both technical and ...

Owens Corning

Engineering Specialist

Charlotte, NC · On-site

Purpose of the Job The ERP Implementation Engineer / Specialist serves as a subject matter expert ... Product Configuration & Master Data * Partner with business subject matter experts to develop and ...

Owens Corning

Engineering Specialist

Charlotte, NC

Purpose of the Job The ERP Implementation Engineer / Specialist serves as a subject matter expert ... Product Configuration & Master Data * Partner with business subject matter experts to develop and ...

WBI Energy

Senior Engineering Specialist

Billings, MT · On-site

Coordinate and oversee the daily work of engineering specialists. Consult, recommend and assist in ... Must take all measures necessary to protect networks, devices, programs and data from cyber-attack ...

General Motors

Engineering Specialist

Warren, MI · On-site

The Role The Engineering Specialist supports supplier execution, commercial coordination ... Support supplier reviews and governance forums by preparing data, documenting actions, monitoring ...

MDU Resources

Senior Engineering Specialist

Billings, MT · On-site

Coordinate and oversee the daily work of engineering specialists. Consult, recommend and assist in ... Must take all measures necessary to protect networks, devices, programs and data from cyber-attack ...

STV

Cost Engineering Specialist

Pompano Beach, FL · On-site

$79K - $91K/yr

The Cost Engineering Specialist supports the Program Controls function by analyzing program cost ... This role is centered on interpreting cost and schedule data - identifying trends, variances, and ...

Tekberry

Quality Engineering Specialist

Santa Rosa, CA · On-site

$31 - $39/hr

Quality Engineering Specialist Pay Rate or Salary Range: $31/hr - $39/hr DOE Benefits include ... Analyze manufacturing, coating, inspection, testing, and SPC data to identify trends and recommend ...

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Data Engineering Specialist information

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$33K

$81.5K

$140K

How much do data engineering specialist jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data engineering specialist in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What is a data engineering specialist?

Data Engineering Specialists are professionals who design, build, and maintain the infrastructure that allows organizations to collect, store, and analyze large amounts of data. They develop data pipelines, manage databases, and ensure data is accessible, reliable, and secure for analytics and business intelligence purposes. Their work is crucial in transforming raw data into usable formats for data scientists, analysts, and business leaders.

How does a data engineering specialist typically collaborate with data scientists and analysts within an organization?

Data Engineering Specialists work closely with data scientists and analysts by designing, building, and maintaining data pipelines that ensure reliable, high-quality data is readily available. They often meet regularly with these teams to understand data requirements, troubleshoot data issues, and optimize workflows for analytics and machine learning projects. Effective collaboration involves clear communication about data structures, definitions, and timelines, as well as actively participating in code reviews and joint problem-solving sessions. This teamwork is essential for delivering impactful, data-driven solutions across the organization.

What are the key skills and qualifications needed to thrive as a data engineering specialist, and why are they important?

To thrive as a Data Engineering Specialist, you need expertise in database management, data modeling, ETL processes, and programming languages such as SQL, Python, or Scala, often supported by a degree in computer science or a related field. Proficiency with big data platforms (e.g., Hadoop, Spark), cloud services (AWS, Azure, GCP), and data pipeline orchestration tools is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with cross-functional teams and address complex data challenges. These skills are essential for building robust, scalable data infrastructure that empowers organizations to make data-driven decisions.

What is the difference between Data Engineering Specialist vs Data Engineer?

AspectData Engineering SpecialistData Engineer
CredentialsBachelor's in CS, certifications like AWS, GCP, or AzureBachelor's in CS, related certifications
Work EnvironmentData teams, cloud platforms, data warehousesData pipelines, databases, cloud environments
Industry UsageUsed across tech, finance, healthcareCommon in similar industries, focus on data infrastructure
Search IntentUnderstanding roles, skills, and career pathJob requirements, skills, and responsibilities

Data Engineering Specialists focus on designing and maintaining data pipelines, often with specialized skills in cloud platforms. Data Engineers build and optimize data infrastructure, working on data collection, storage, and processing. Both roles overlap in skills and environment but differ in scope and focus.

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What are popular job titles related to Data Engineering Specialist jobs?

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Data Engineering Specialist jobs near you
Infographic showing various Data Engineering Specialist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.

Engineering Specialist - Analytics

Fountain Inn, SC • On-site

KYOCERA AVX Greenville LLC
See more jobs at KYOCERA AVX Greenville LLCexternal

$80 - $100/hr

Other

Posted 21 days ago

Job description

Primary Function:

The Engineering Specialist - Analytics leverages statistical modeling and data analysis to optimize manufacturing processes. This role is responsible for transforming raw process data into actionable insights, identifying trends in process capability, and driving data-driven improvements across production lines.

Duties & Responsibilities:

  • Data Analysis & Modeling: Execute statistical analysis on large datasets to determine process capabilities (Cpk and Ppk) and identify variance drivers.
  • Project Lifecycle Management: Plan and execute assigned projects, defining scope and methodology under the guidance of senior engineering staff.
  • Testing & Validation: Design and conduct controlled experiments (DOE); analyze results to validate process changes and prepare technical reports for leadership.
  • Cross-Functional Problem Solving: Identify systemic production bottlenecks; collaborate with Quality, Operations, and Maintenance teams to implement root-cause solutions.
  • Continuous Improvement: Champion Lean and Six Sigma initiatives by delivering measurable improvements in yield, cycle time, and cost reduction.
  • Process Monitoring: Assist in the deployment of real-time monitoring tools and dashboards (e.g., SPC) to ensure ongoing adherence to specifications.
  • Safety & Compliance: Ensure all analytical activities comply with safety standards; may assist in the proper handling and documentation of hazardous waste as required.

Qualifications & Skills:

Required:

  • Education: Bachelor’s degree (Industrial Engineering, Mathematics, or Data Science preferred).
  • Technical Proficiency: Strong foundation in engineering principles and statistical software (e.g., Minitab, JMP, or Python/R).
  • Communication: Ability to translate complex data sets into clear, executive-level summaries and presentations.

Preferred Qualifications:

  • Continuous Improvement: Experience with Six Sigma Green Belt or Lean manufacturing methodologies.
  • Data Visualization: Familiarity with Power BI, Tableau, or similar dashboarding tools.
  • Project Management: Proven ability to manage multiple priorities and meet project milestones on time.

EEO Statement:

Kyocera-AVX is an Equal Opportunity Employer, M/F/D/V: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or status as a protected veteran.

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