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Senior Data Engineer Manager Jobs in Tennessee (NOW HIRING)

Senior Data Engineer

Memphis, TN · On-site

$103K - $140K/yr

They are seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and platform infrastructure within a medallion architecture, while ensuring compliance and data ...

Sr. Data Engineer

Cordova, TN · On-site

$99K - $118K/yr

As a Sr. SQL Developer/Data Engineer, you will be responsible for designing, developing, and ... chain management, freight forwarding, warehousing and distribution services. As a company we're ...

Sr. Data Engineer

Memphis, TN

$94K - $128K/yr

Our goal is to empower progress for maintenance managers, engineers, contractors, and all those ... We are currently hiring for the role of Sr. Data Engineer . SUMMARY This position is responsible ...

Sr. Data Engineer

Memphis, TN · On-site +1

$94K - $128K/yr

Our goal is to empower progress for maintenance managers, engineers, contractors, and all those ... We are currently hiring for the role of Sr. Data Engineer . SUMMARY This position is responsible ...

Senior Data Engineer

Nashville, TN · On-site

$102K - $139K/yr

Oracle Cloud Infrastructure (OCI) is seeking a Senior Data Engineer to join the Capacity Data ... and data management infrastructure that enable strategic decision-making across OCI's Compute ...

Senior Data Engineer

Nashville, TN · On-site

$102K - $139K/yr

Oracle Cloud Infrastructure (OCI) is seeking a Senior Data Engineer to join the Capacity Data ... and data management infrastructure that enable strategic decision-making across OCI's Compute ...

Senior Data Engineer

Nashville, TN · On-site

$102K - $139K/yr

Oracle Cloud Infrastructure (OCI) is seeking a Senior Data Engineer to join the Capacity Data ... and data management infrastructure that enable strategic decision-making across OCI's Compute ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Senior Data Engineer

Brentwood, TN · On-site

$100K - $136K/yr

OPPORTUNITY We are seeking an experienced Data Engineer with 2-3+ years of hands-on experience to ... Proven ability to work independently and manage multiple priorities effectively * Experience ...

Senior Data Engineer

Nashville, TN · On-site

$47 - $59/hr

The engineers will work closely with business and technical stakeholders to streamline data processes, improve data quality, and support system consolidation efforts. Responsibilities include data ...

Sr. Data Engineer - CX Analytics

Chattanooga, TN · Remote

$104K - $125K/yr

We are seeking a Senior Data Engineer to join the CX Analytics team within our Customer Experience ... Responds quickly and positively to change and is viewed as a promoter of change management.

data engineer sr- ST; Nashville, TN

Nashville, TN · On-site

$53.75 - $71.25/hr

As a Senior Data Engineer, you will build enterprise data services that support analytics and ... Required : • Bachelor's degree in Computer Science, Management Information Systems, or related ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Showing results 21-40

Senior Data Engineer Manager information

What does a Senior Data Engineer Manager do?

A Senior Data Engineer Manager oversees teams of data engineers responsible for designing, building, and maintaining an organization’s data infrastructure. They develop strategies for data architecture, ensure the quality and security of data systems, and collaborate with other departments to meet business goals. In addition to technical responsibilities, they manage team performance, provide mentorship, and align data initiatives with company objectives.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer Manager?

To thrive as a Senior Data Engineer Manager, you need deep expertise in data engineering, architecture, and leadership, typically backed by a degree in computer science or a related field and several years of experience. Proficiency with big data tools (such as Hadoop, Spark, Kafka), cloud platforms (AWS, Azure, or GCP), and data pipeline orchestration systems is essential, and certifications in these technologies can be advantageous. Exceptional communication, team management, and strategic thinking skills help you lead teams and align data solutions with business goals. These skills and qualities are vital for building scalable data infrastructure, fostering high-performing teams, and delivering actionable insights to drive organizational success.

What are some common challenges that Senior Data Engineer Managers face when leading data teams?

Senior Data Engineer Managers often encounter challenges in balancing strategic oversight with hands-on technical leadership. Managing cross-functional teams means coordinating efforts across data engineering, analytics, and business stakeholders, which can lead to complex communication and prioritization issues. Additionally, overseeing large-scale data infrastructure projects requires staying updated on evolving technologies while ensuring data quality and security. Effective delegation, fostering team growth, and aligning technical solutions with business goals are key to overcoming these challenges.

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

AspectSenior Data Engineer ManagerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often leadership experienceBachelor's in CS, Data Science, or related
Work EnvironmentLeads teams, manages projects, strategic planningDevelops data pipelines, coding, data modeling
Industry UsageCommon in organizations with large data teamsEntry to mid-level roles in data teams

The Senior Data Engineer Manager oversees data engineering teams and projects, focusing on leadership and strategy, while Data Engineers primarily build and maintain data pipelines and infrastructure. The managerial role requires leadership skills and experience, whereas Data Engineers focus on technical execution.

What job categories do people searching Senior Data Engineer Manager jobs in Tennessee look for?

The top searched job categories for Senior Data Engineer Manager jobs in Tennessee are:

What cities in Tennessee are hiring for Senior Data Engineer Manager jobs?

Cities in Tennessee with the most Senior Data Engineer Manager job openings:

Senior Data Engineer

Intellivo

Memphis, TN • On-site

$103K - $140K/yr

Full-time

Re-posted 3 days ago


Job description

Job Summary:
Intellivo is a company focused on transforming raw data into structured intelligence signals. They are seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and platform infrastructure within a medallion architecture, while ensuring compliance and data governance across healthcare, legal, and insurance data.
Responsibilities:
• 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.
• 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.
• 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.
• 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.
• 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.
Company:
Recovery Intelligence for health plans. Intellivo detects more reimbursement opportunities with no member abrasion. Founded in 1999, the company is headquartered in Memphis, USA, with a team of 201-500 employees. The company is currently Growth Stage.