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Weekend Data Engineer Jobs in Kentucky (NOW HIRING)

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 ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Data Bricks engineer

Louisville, KY · On-site

$110K - $132K/yr

Role Description: Data Bricks engineer with Experience in AEP integrations Essential Skills: Data Bricks engineer with Experience in AEP integrations Desirable Skills: Not listed Keywords: Not listed ...

Collaborated with data engineering teams to align data architecture and reporting strategies, ensuring data quality and consistency. * Conducted technical reviews of reports, dashboards, and ...

... Engineering, Bioinformatics, Physics, Applied Mathematics, or related discipline * 5+ years ... Willingness to support non-nominal hours, including evenings, weekends, and holidays, as required ...

... Engineering, Bioinformatics, Physics, Applied Mathematics, or related discipline * 5+ years ... Willingness to support non-nominal hours, including evenings, weekends, and holidays, as required ...

... Engineering, Bioinformatics, Physics, Applied Mathematics, or related discipline * 5+ years ... Willingness to support non-nominal hours, including evenings, weekends, and holidays, as required ...

You'll work closely with the BI Product Owner and Data Engineering team to shape scalable, reliable analytics-while building assets that enable true self-service for your stakeholders. If you enjoy ...

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Weekend Data Engineer information

What are Weekend Data Engineers?

Weekend Data Engineers are professionals who work primarily on weekends to design, build, and maintain data systems and pipelines. Their responsibilities may include ensuring data flows smoothly between systems, managing databases, and supporting data analytics tasks during off-peak hours. This role is ideal for organizations that need data engineering support outside of standard business hours, such as companies with continuous operations or those processing large volumes of data over weekends. Weekend Data Engineers often collaborate remotely and may be part-time or contract workers.

What is the difference between Weekend Data Engineer vs Part-Time Data Analyst?

AspectWeekend Data EngineerPart-Time Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with data pipelinesBachelor's in related field; skills in data analysis and visualization
Work EnvironmentTech companies, data-driven organizations, remote or on-siteBusiness, marketing, or finance sectors; often remote or part-time
Employer & Industry UsageUsed in industries needing weekend data processing or maintenanceUsed in roles requiring part-time data insights and reporting

The Weekend Data Engineer focuses on building and maintaining data pipelines during weekends, often requiring technical skills and experience with data infrastructure. In contrast, a Part-Time Data Analyst primarily interprets data, creates reports, and provides insights on a flexible schedule. Both roles are suitable for flexible work arrangements but serve different functions within data teams.

What are the typical expectations and work patterns for a Weekend Data Engineer position?

As a Weekend Data Engineer, you’ll generally be responsible for maintaining, optimizing, and troubleshooting data pipelines and infrastructure during the weekend hours when production systems still require support. This role often involves monitoring data flows, addressing urgent issues, and ensuring data availability for business needs that operate on a 24/7 basis. You may collaborate remotely with on-call team members or communicate hand-offs to weekday staff, so strong documentation and clear communication are key. Weekend shifts can offer flexibility but may also require independent problem-solving, as fewer team members are available for immediate support.

What are the key skills and qualifications needed to thrive as a Weekend Data Engineer, and why are they important?

To thrive as a Weekend Data Engineer, you need strong proficiency in data modeling, SQL, ETL processes, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), data warehouse systems (like Redshift or Snowflake), and relevant certifications are often required. Excellent problem-solving, attention to detail, and the ability to work independently during off-hours are standout soft skills. These skills and qualities are crucial for maintaining reliable data pipelines, troubleshooting issues efficiently, and ensuring uninterrupted data services during weekend operations.
What are the most commonly searched types of Data Engineer jobs in Kentucky? The most popular types of Data Engineer jobs in Kentucky are:
What are popular job titles related to Weekend Data Engineer jobs in Kentucky? For Weekend Data Engineer jobs in Kentucky, the most frequently searched job titles are:
Infographic showing various Weekend Data Engineer job openings in Kentucky as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Engineer Staff

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Posted 3 days ago


Lockheed Martin rating

8.2

Company rating: 8.2 out of 10

Based on 389 frontline employees who took The Breakroom Quiz

32nd of 61 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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About Lockheed Martin

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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