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Senior Python Data Analyst Jobs in Collierville, TN

Intellivo

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

... analytics, and operational reporting ... The role requires deep experience with cloud data platforms, strong Python and SQL skills, and the ...

APCO International

SC - GIS Engineer

Memphis, TN · On-site

... python), data analysis, and software development for GIS applications, including the maintenance of existing systems or research and development for future enhancements as well as create new ...

NTT DATA, Inc.

AWS ETL Data Engineer - HYBRID

Memphis, TN · On-site

$97.72 - $162.88/hr

Analyze and troubleshoot complex data issues using Redshift SQL, MySQL, Python/PySpark, Shell scripting, and Excel. * Investigate data mismatches, reporting issues, and business data anomalies.

Helenoftroy

Sr. AI Analytics Engineer

Arlington, TN · Hybrid

Senior AI Analytics Engineer Department: IT Work Location (s): * El Paso, TX * Plano, TX, * ... data platforms. * Utilize Python and modern analytics tooling to prototype, validate, and ...

MONOGRAM MANAGEMENT SERVICES INC

Engineer, Data

Memphis, TN · On-site

$110 - $140/hr

Migrate data and processes to Microsoft Fabric to leverage its advanced data management and analytics capabilities. * Develop Microsoft Fabric notebooks and data solutions using SQL, Python, PySpark ...

New

Monogram Foods

Engineer, Data

Memphis, TN · On-site

$85 - $115/hr

Migrate data and processes to Microsoft Fabric to leverage its advanced data management and analytics capabilities. * Develop Microsoft Fabric notebooks and data solutions using SQL, Python, PySpark ...

Intellivo

Senior Data Engineer

Memphis, TN · On-site

$103K - $140K/yr

... analytics reporting. • Maintain Feature Store pipelines that produce machine learning-ready ... Python, with advanced SQL experience and data quality validation logic. • Experience with ...

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Senior Python Data Analyst information

See Collierville, TN salary details

$48.6K

$87.8K

$119.8K

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

As of Aug 20, 2026, the average yearly pay for senior python data analyst in Collierville, TN is $87,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,100.00 and $96,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Python Data Analyst vs Data Scientist?

AspectSenior Python Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, Statistics, or related field; Python proficiencyBachelor's or Master's in Data Science, Computer Science, or related; Python, R, machine learning skills
Work EnvironmentData analysis teams, business units, reportingResearch, model development, advanced analytics
Employer & Industry UsageBusiness, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonYesYes

While both roles require Python skills and data analysis expertise, Data Scientists typically engage in advanced modeling, machine learning, and research tasks, whereas Senior Python Data Analysts focus more on interpreting data, generating reports, and supporting business decisions.

What job categories do people searching Senior Python Data Analyst jobs in Collierville, TN look for?

The top searched job categories for Senior Python Data Analyst jobs in Collierville, TN are:

What cities near Collierville, TN are hiring for Senior Python Data Analyst jobs?

Cities near Collierville, TN with the most Senior Python Data Analyst job openings:

Senior Python Data Analyst jobs near you
Infographic showing various Senior Python Data Analyst job openings in Collierville, TN as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $87,756 per year, or $42.2 per hour.

Senior Data Engineer

Intellivo

Memphis, TN • On-site

$95K - $129K/yr

Full-time

Re-posted 4 days ago

Job description

Senior Data Engineer
Role Summary
The Senior Data Engineer is responsible for designing, building, and optimizing scalable data pipelines and platform infrastructure within a medallion architecture (Bronze, Silver, Gold) on Microsoft Fabric and OneLake. This role delivers enterprise-grade ingestion, transformation, and enrichment solutions that convert raw healthcare, legal, and insurance data into structured intelligence signals used for identification scoring, analytics, and operational reporting.
The role requires deep experience with cloud data platforms, strong Python and SQL skills, and the ability to operate in a regulated healthcare environment with strict HIPAA compliance and multi-tenant data isolation requirements across a large portfolio of client contracts. This person will work closely with Data Science, ML Engineering, and Software Engineering teams to ensure reliable, governed, and performant data delivery across the organization.
Core Responsibilities
  • Data Ingestion Pipeline Development
    • Design and build data ingestion pipelines from multiple structured and unstructured sources including healthcare claims, P&C insurance data, and legal filings into the Bronze layer of the medallion architecture.
    • Optimize ingestion workflows for reliability, throughput, and compliance across regulated production environments.
    • Implement error handling, retry logic, and dead-letter patterns to ensure pipeline resilience.
  • Medallion Architecture and Transformation
    • Develop Silver layer transformation logic including normalization, deduplication, entity resolution, and schema enforcement within Microsoft Fabric and OneLake.
    • Build Gold layer aggregations and enriched datasets that support ML scoring models and embedded analytics reporting.
    • Maintain Feature Store pipelines that produce machine learning-ready feature sets for model training and inference.
  • Data Governance and Compliance
    • Enforce data contractual constraints from third-party data providers, including requirements for stateless processing and restrictions on data persistence or model training.
    • Implement multi-tenant data isolation patterns including partitioning, access controls, and governed data handling across a large number of client contracts.
    • Document data lineage, transformations, and data contracts to support governance, audit readiness, and operational clarity.
  • Data Quality and Monitoring
    • Build and maintain data quality validation scripts to detect schema drift, completeness gaps, and business-rule violations across pipeline stages.
    • Implement monitoring on pipeline health, data freshness, and operational exceptions to maintain high-confidence production data.
    • Establish alerting and escalation processes for pipeline failures and data anomalies.
  • Cross-Functional Collaboration
    • Partner with ML Engineering and Data Science to deliver features that support model retraining, scoring pipelines, and identification engine capabilities.
    • Collaborate with Software Engineering, Analytics, and business stakeholders to translate operational needs into reliable, production-ready data solutions.
    • Contribute to architectural decisions and technical documentation that support the broader data platform strategy.

Qualifications
Required
  • B.S. or B.A. in Computer Science, Information Systems, Mathematics, or a related field.
  • 7+ years of professional data engineering experience, preferably within Azure-based or Microsoft Fabric environments.
  • Hands-on experience designing enterprise data pipelines, ETL/ELT workflows, and medallion or lakehouse architecture patterns.
  • Strong programming skills in Python, with advanced SQL experience and data quality validation logic.
  • Experience with Microsoft Fabric, OneLake, Azure Data Factory, or equivalent cloud data orchestration tools.
  • Working knowledge of CI/CD practices for data pipelines and infrastructure-as-code concepts.
  • Demonstrated experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, or similar) to accelerate pipeline development, code generation, and debugging workflows.

Preferred
  • Familiarity with healthcare data formats (claims, eligibility, EDI 837/835) and HIPAA compliance requirements.
  • Experience with multi-tenant data architectures and governed data handling in regulated environments.
  • Exposure to ML feature engineering, Feature Store design, or data pipelines supporting model training workflows.
  • Experience with dbt, PySpark, or similar transformation frameworks.

Professional Skills
  • Highly organized with the ability to manage multiple concurrent technical workstreams.
  • Critical thinker with strong problem-solving ability and attention to detail.
  • Clear communicator, comfortable working asynchronously with distributed teams.
  • Self-directed with a track record of driving projects through completion without constant oversight.

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