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Senior Data Engineer Jobs in Murphy, NC (NOW HIRING)

ABB

Senior Project Engineer

Athens, TN · Remote

$101K - $132K/yr

Senior Engineering Manager __ In this role, you will act as a design authority for an engineering ... Leading and supporting commissioning of data centers, paralleling switchgear (PSG), and power ...

Core Scientific, Inc.

Network Engineer

Marble, NC · On-site

Our footprint consists of 11 data center campuses across seven states, housing advanced ... Ability to work collaboratively and follow instructions from senior engineers. * Internship or ...

Core Scientific, Inc.

Network Engineer

Marble, NC · On-site

Our footprint consists of 11 data center campuses across seven states, housing advanced ... Ability to work collaboratively and follow instructions from senior engineers. * Internship or ...

Freudenberg

Senior Stamping Process Engineer

Cleveland, GA · On-site

$89K - $115K/yr

Input and analyze numerical data to identify patterns and relationships for optimal workflow and ... Bachelor's degree in Mechanical Engineering (BSME) or equivalent required. * Minimum 5 years of ...

Actalent

Controls Engineer

Maryville, TN

$50 - $60/hr

... gather data. Responsibilities * Design, program, debug, and support automated systems and ... APPLY TODAY! Taylor Brantley Sr. Recruiter will follow up with additional details! Job Type ...

ABB

Strategic Segment Proposal Engineer

Athens, TN · Remote

Experience working with EPC, industrial, or data center end users on large scale projects with ... Experience working with global and local cross functional teams and interacting with senior ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Murphy, NC

Senior Data Engineer information

See Murphy, NC salary details

$71.3K

$111.2K

$154K

How much do senior data engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for senior data engineer in Murphy, NC is $111,176.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,300.00 and $126,700.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What are the most commonly searched types of Data Engineer jobs in Murphy, NC?

The most popular types of Data Engineer jobs in Murphy, NC are:

What job categories do people searching Senior Data Engineer jobs in Murphy, NC look for?

The top searched job categories for Senior Data Engineer jobs in Murphy, NC are:

What cities near Murphy, NC are hiring for Senior Data Engineer jobs?

Cities near Murphy, NC with the most Senior Data Engineer job openings:

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Murphy, NC as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $111,176 per year, or $53.5 per hour.

Senior Business Intelligence and Data Engineer

Smith and Wesson

Maryville, TN • On-site

Full-time

Re-posted yesterday

Job description

Senior Business Intelligence & Data Engineer
In-Office/Non-Remote in Maryville, TN
We are looking for a Modern BI / Data Warehouse Developer who can bridge traditional BI engineering (T-SQL, ETL, SSIS-nice to have) with modern cloud analytics patterns, including building scalable data pipelines into Microsoft Fabric and creating transformations using notebooks (Python/Pandas) and related tooling.
This role focuses on data ingestion, modeling, transformations, and semantic layer readiness. While the role will not be responsible for building production reports, the ideal candidate understands reporting needs well enough to design data models and semantic models that support analytics and self-service BI.
COMPETENCIES AND SKILLS:
  • Strong hands-on experience with T-SQL and relational data modeling.
  • Proven experience building ETL/ELT pipelines and supporting production data workflows.
  • Experience with Azure Data Factory (ADF) or comparable orchestration tools.
  • Experience building transformations using notebooks, including Python and Pandas (and/or Spark-based transformations as needed).
  • Strong understanding of:
  • modern data warehousing
  • dimensional modeling (facts/dimensions, SCDs, conformed dimensions)
  • performance fundamentals (indexes, partitioning concepts, query tuning as applicable)
  • Working knowledge of reporting concepts (requirements, visual performance considerations, data shaping), even if not building reports.
  • Nice to have skills:
  • TensorFlow, PyTorch, Hugging Face
  • SSIS experience (nice-to-have, not required).
  • Experience with Microsoft Fabric components (Lakehouse, Warehouse, pipelines, notebooks, shortcuts, etc.).
  • Familiarity with semantic modeling platforms and patterns (e.g., Power BI semantic models/tabular concepts).
  • Exposure to data governance, cataloging, and lineage practices.
  • Experience with CI/CD for data assets (Git integration, environment promotion).

ESSENTIAL DUTIES AND RESPONSIBILITIES:
  • Design and implement data ingestion pipelines to move data from source systems (SQL, files, APIs, SaaS apps) into Microsoft Fabric (e.g., Lakehouse/Warehouse).
  • Create and maintain pipelines using Azure Data Factory (ADF) and/or Fabric-native orchestration patterns as appropriate.
  • Build transformation logic using notebooks and modern approaches (Python, Pandas, Spark where applicable).
  • Apply best practices for:
    • data quality checks & validations
    • reproducibility (parameterization, modular notebooks, version control)
    • performance optimization (partitioning, pushdown, caching strategies where relevant)
  • Design and maintain enterprise data warehouse models
  • Understand how to prepare data for semantic models and analytics consumption:
  • Collaborate with report developers/analysts by ensuring data models align with real BI usage patterns.
  • Work closely with stakeholders (analysts, app teams, data owners) to translate requirements into scalable pipelines and models.
  • Participate in code reviews, documentation, and operational handoffs.
  • Help establish standards for naming, versioning, environments, and deployment patterns.

QUALIFICATIONS:
  • 3+ years of professional experience in BI, data engineering, or data warehouse development in an enterprise environment.
  • 2+ years of hands-on experience with T-SQL, including:
    • complex joins, window functions, CTEs
    • query optimization and performance tuning
    • building and maintaining transformation logic in SQL
  • 2+ years of experience designing and implementing ETL/ELT pipelines.
  • 1+ years of experience building data pipelines using Azure Data Factory (ADF) or a comparable orchestration tool.
  • 3+ years of experience with modern data warehousing principles, including:
    • layered architectures (raw, curated, consumption)
    • ELT patterns batch and incremental loading strategies
  • 3+ years of hands-on dimensional data modeling experience, including:
    • star and snowflake schemas
    • fact and dimension table design
    • surrogate keys and SCD (Type 1/2) patterns
  • 1+ years of experience developing data transformations using notebooks.
  • Working knowledge of reporting and analytics tools concepts (e.g., how analysts and business users consume data), even if not responsible for building reports directly.
  • Professional communications skills, both verbal and written. Good team player.
  • Manage personal workload and work under tight timeframes.
  • Must be able to work independently with minimal supervision.
  • Bachelor's degree in Computer Science, Engineering, or a related field preferred.

PHYSICAL DEMANDS:
  • Occasional: bending, kneeling, squatting, standing, walking, reaching, overhead reaching, and fine motor skills

WORK ENVIRONMENT:
  • Normal office environment and office lighting
  • Within the Smith & Wesson manufacturing facility employees may be exposed to manufacturing noise, airborne liquid chemicals, fine particulate dust, ambient temperatures, and industrial lighting
  • All employees are required to apply ergonomic correctness to all job tasks

RECRUITING FRAUD ALERT
At Smith & Wesson, your personal information and online safety are our top priorities. Our recruiters will only direct candidates to apply through our official career page www.smith-wesson.com/careers. We will never request payments, financial account details, or sensitive information such as Social Security numbers. If you're unsure about the legitimacy of a message, please contact HRRecruiting@smith-wesson.com for verification.
Updated 8/18/2026

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