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Senior Data Engineer Python Jobs in Concord, TN (NOW HIRING)

Data Engineer

Knoxville, TN

$109K - $131K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Knoxville, TN ยท On-site

$109K - $131K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Maryville, TN ยท On-site

$99K - $119K/yr

Experience using Python for data modeling or programming preferred * Experience with version control/Git preferred * Cloud platform knowledge preferred * Working knowledge of CI/CD for data workflows

Data Engineer

Maryville, TN ยท On-site

$99K - $119K/yr

Experience using Python for data modeling or programming preferred * Experience with version control/Git preferred * Cloud platform knowledge preferred * Working knowledge of CI/CD for data workflows

Data Engineer

Maryville, TN ยท On-site

$94K - $113K/yr

... Python for data modeling or programming preferred โ€ข Experience with version control/Git preferred โ€ข Cloud platform knowledge preferred โ€ข Working knowledge of CI/CD for data workflows Company

... engineering, and leadership. Responsibilities : โ€ข Route optimization and transit time prediction ... Preferred : โ€ข Python, R, or SQL --- scripting and querying at production scale. โ€ข Software ...

AWS Python Developer

Knoxville, TN ยท On-site

$48 - $66/hr

... your data and using cookies - Learn more. Position Description: CGI is seeking an AWS Python ... CGI is seeking an AWS Senior Full Stack Cloud Engineer to design, develop, and support modern cloud ...

Python Tutor

Knoxville, TN ยท Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Proficiency in programming languages such as Python, SQL, or Scala, with experience in data manipulation, transformation, and analysis. * Strong understanding of database systems, data modeling, and ...

Proficiency in programming languages such as Python, SQL, or Scala, with experience in data manipulation, transformation, and analysis. * Strong understanding of database systems, data modeling, and ...

Proficiency in programming languages such as Python, SQL, or Scala, with experience in data manipulation, transformation, and analysis. * Strong understanding of database systems, data modeling, and ...

Proficiency in programming languages such as Python, SQL, or Scala, with experience in data manipulation, transformation, and analysis. * Strong understanding of database systems, data modeling, and ...

... your data and using cookies - Learn more . Position Description: CGI is seeking an AWS Python ... CGI is seeking an AWS Senior Full Stack Cloud Engineer to design, develop, and support modern cloud ...

CGI is actively seeking a Senior AI/ML and Emerging Tech Expert to join our Emerging Technologies ... React or Angular) and back end services (Python/Flask/Django; Node.js; Java) that integrate AI ...

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Senior Data Engineer Python information

See Concord, TN salary details

$65.5K

$102.2K

$141.6K

How much do senior data engineer python jobs pay per year?

As of Aug 5, 2026, the average yearly pay for senior data engineer python in Concord, TN is $102,195.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,800.00 and $116,500.00 per year, depending on experience, location, and employer.

What does a senior data engineer python do?

A Senior Data Engineer Python is responsible for designing, building, and maintaining complex data pipelines and architectures using Python as a primary programming language. They work with large datasets, ensuring data is collected, stored, and processed efficiently to support analytics and business intelligence. Their role often includes optimizing data workflows, collaborating with data scientists, and implementing data quality and security best practices. Senior Data Engineers also mentor junior team members and may help define data engineering strategies for their organization.

How much does a senior data engineer Python make?

A senior data engineer with Python skills typically earns between $100,000 and $150,000 annually, depending on experience, location, and industry. Compensation may also include bonuses, stock options, and benefits, especially in competitive markets or tech companies.

What are the key skills and qualifications needed to thrive as a senior data engineer python?

To thrive as a Senior Data Engineer Python, you need deep expertise in Python programming, data modeling, and ETL pipeline design, often supported by a degree in computer science or a related field. Familiarity with big data frameworks (such as Spark or Hadoop), cloud platforms (like AWS, GCP, or Azure), and relevant certifications are highly valued. Strong problem-solving, communication, and leadership skills enable effective collaboration and project delivery in cross-functional teams. These competencies are crucial for building robust, scalable data solutions that drive business insights and operational efficiency.

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

AspectSenior Data Engineer PythonData Engineer Python
Required Experience5+ years, leadership skills1-3 years, foundational skills
ResponsibilitiesDesigning architecture, mentoring, complex data pipelinesBuilding data pipelines, data collection, basic ETL tasks
CertificationsRelevant certifications (e.g., AWS, GCP)Entry-level certifications preferred
Work EnvironmentCross-functional teams, project leadershipData teams, development environment

Senior Data Engineer Python roles typically require more experience, leadership, and complex project responsibilities compared to Data Engineer Python roles, which focus on building and maintaining data pipelines with less emphasis on leadership.

How does a senior data engineer python typically collaborate with data scientists and other engineering teams?

A Senior Data Engineer working with Python often plays a central role in bridging the gap between data science and engineering teams. They design and maintain robust data pipelines that ensure clean, reliable data is available for analytics and machine learning projects. Collaboration involves frequent communication with data scientists to understand data requirements and with software engineers to integrate data solutions into production systems. This multidisciplinary teamwork helps streamline project workflows and drives the development of scalable data solutions across the organization.
Infographic showing various Senior Data Engineer Python job openings in Concord, TN as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $102,195 per year, or $49.1 per hour.

Senior Business Intelligence and Data Engineer

Smith and Wesson

Maryville, TN โ€ข On-site

Full-time

Re-posted 5 days ago


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

Updated 6/25/2026