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Manager Data Analytics Engineer Jobs in Lexington, KY

Lockheed Martin

Data Engineer Staff

Lexington, KY · On-site

Lockheed Martin is looking for a Data Engineer who will deliver end to end, full stack data ... Lifecycle Management • Conduct data profiling, requirement analysis, and performance tuning ...

Davis H Elliot Company, Inc.

Data Engineer III

Lexington, KY · On-site

$97K - $116K/yr

Support enterprise system integrations across ERP, HRIS, fleet management, and financial platforms ... Strong analytical, problem-solving, and troubleshooting abilities * Excellent communication skills ...

Davis H Elliot Company, Inc.

Data Engineer III

Lexington, KY · On-site

$97K - $116K/yr

Support enterprise system integrations across ERP, HRIS, fleet management, and financial platforms ... Strong analytical, problem-solving, and troubleshooting abilities * Excellent communication skills ...

Galls

Data Scientist

Lexington, KY

... engineering, AI architecture, analytics, and strategic business problem-solving. The ideal ... Strong analytical, communication, problem-solving, and stakeholder management skills WHAT YOU SEND ...

kindeva

Senior Manufacturing Engineering II

Lexington, KY · On-site

$90K - $123K/yr

Data Analytics and Performance Analysis * Develop and maintain measurement systems to visualize ... Ability to manage multiple projects and priorities in a fast-paced environment. * Technical writing ...

Galls

Data Scientist

Lexington, KY · On-site

... engineering, AI architecture, analytics, and strategic business problem-solving. The ideal ... Strong analytical, communication, problem-solving, and stakeholder management skills WHAT YOU SEND ...

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Showing results 21-40

All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Lexington, KY

Manager Data Analytics Engineer information

See Lexington, KY salary details

$44.2K

$128.9K

$176.4K

How much do manager data analytics engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for manager data analytics engineer in Lexington, KY is $128,927.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $136,700.00 per year, depending on experience, location, and employer.

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

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

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

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
What are popular job titles related to Manager Data Analytics Engineer jobs in Lexington, KY? For Manager Data Analytics Engineer jobs in Lexington, KY, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Lexington, KY look for? The top searched job categories for Manager Data Analytics Engineer jobs in Lexington, KY are:
Manager Data Analytics Engineer jobs near you

Data Engineer Staff

Lockheed Martin Corporation

Lexington, KY • On-site

Full-time

Posted 23 days ago

Lockheed Martin rating

8.2

Company rating: 8.2 out of 10

Based on 391 frontline employees who took The Breakroom Quiz

38th of 72 rated aerospace companies

Job description

LockheedMartin is looking for a Data Engineer who will deliver end to end, full stack data solutions across the complete data processing pipeline. You will apply systems engineering principles to design, build, and operate scalable pipelines that collect, ingest, transform, store, and serve data for analytics and mission critical applications while ensuring security, performance, and compliance with DoD/SOFSA standards.
Key Responsibilities
Pipeline Development & Maintenance Build, test, and maintain robust data pipelines (batch & streaming) that clean, transform, and aggregate raw data into analytic ready data stores. Implement data quality checks, smart caching, and virtualization techniques to guarantee consistency and reliability. Build automated data management conduits that support machine learning data flows.
Data Architecture & Modeling Collaborate with the Data Architect to create conceptual, logical, and physical data models that support business needs. Define functional capabilities, security, backup, and recovery specifications for each solution. Design and maintain systems that collect, store, and present data across the enterprise.
Lifecycle Management Conduct data profiling, requirement analysis, and performance tuning throughout the solution lifecycle. Deploy, monitor, and optimize ETL/ELT processes (e.g., Informatica, Talend) and related reporting/analytics layers. Develop and implement data mining and data warehousing programs to enrich the enterprise data ecosystem.
Operations & Performance Identify and resolve production incidents; tune system parameters for optimal throughput and latency. Evaluate, integrate, and validate new releases or platform upgrades. Manage the compilation, catalog ing, caching, distribution, and retrieval of data and maintain test data records.
Standards & Governance Define and enforce best practice standards, certification processes, and metadata management policies for data objects. Participate actively in the Data Governance Working Group. Implement data management standards, requirements, and specifications and ensure compliance with data classification and handling rules through access control and security best practices.
Risk & Design Support Assist early stage risk identification and mitigation for task order activities. Support Critical Design Reviews (CDRs) and advise Integrated Product Teams (IPTs) on data related risks and mitigation strategies.
Cross Discipline Liaison Serve as the technical liaison to Systems Engineering, IPT engineers, and other disciplines to ensure complete, documented requirements allocation for IT and data systems. Prepare and release engineering drawings and associated data system documentation.
Technology Integration Advise on and design the integration of new data technology solutions (e.g., IBM Cloud Pak for Data) into the SOFSA enterprise IT environment. Advise higher level leadership on critical data management issues and emerging technology trends.
Reporting Report directly to the Data Architect and provide status updates on pipeline health, performance metrics, and risk registers.
Additional Typical Duties (new content integrated) Apply data acquisition, cleaning, transformation, and ingestion best practices for machine learning data conduits. Assess and address methodological limitations to ensure reliable data delivery. Read, interpret, write, modify, and execute simple scripts (e.g.,PERL, VBS) on Windows and UNIX systems for parsing large files, automating manual tasks, and fetching/processing remote data. Record, manage, and validate test data. Establish data security controls, develop data dictionaries, and apply data mining techniques (e.g., file system searches). Perform data pre processing (imputation, dimensionality reduction, normalization, transformation, extraction, filtering, smoothing). Conduct transformation analytics (aggregation, enrichment, processing)
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Hours and flexibility

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About Lockheed Martin

Sourced by ZipRecruiter

As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Bethesda, MD, US

Year founded

1912

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