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Weekend Data Engineer Contract Jobs in Tennessee

Remote Duration: 6-Month Contract Overview Our client is seeking a Generative AI Engineer to ... The successful candidate will work closely with architects, data engineers, and business ...

Apply RBAC, object-level permissions, policy tags/PII handling, and least-privilege patterns; integrate with enterprise identity; document data contracts. * Performance Engineering: Optimize joins ...

Contract Specialist

Franklin, TN · On-site

$33.40 - $36.35/hr

Perform a variety of accounting and financial tasks, which may include posting financial data ... Functions as the primary liaison between the Finance Department and Engineering for all accounting ...

Lead Engineer (Data Center)

Memphis, TN · On-site

$99K - $131K/yr

As a Lead Engineer for Data Center electrical, you will work with a small on-site team to scale ... Work extended hours and weekends as needed to support construction, energization, and operations.

Lead Engineer (Data Center)

Memphis, TN · On-site

$99K - $131K/yr

As a Lead Engineer for Data Center electrical, you will work with a small on-site team to scale ... Work extended hours and weekends as needed to support construction, energization, and operations.

As a Lead Engineer for Data Center electrical, you will work with a small on-site team to scale ... Work extended hours and weekends as needed to support construction, energization, and operations.

New

Lead Engineer (Data Center)

Memphis, TN · On-site

$99K - $131K/yr

As a Lead Engineer for Data Center electrical, you will work with a small on-site team to scale ... Work extended hours and weekends as needed to support construction, energization, and operations.

Showing results 41-60

Weekend Data Engineer Contract information

What is a Weekend Data Engineer Contract?

A Weekend Data Engineer Contract is a temporary or freelance position where a data engineer works primarily on weekends. These roles typically involve building, maintaining, or optimizing data pipelines and databases, ensuring data quality, and supporting analytics needs during weekend shifts. This setup is often used by companies that require continuous data operations or have projects with tight deadlines. Weekend contracts can provide flexibility for both the engineer and the employer, and may be ideal for those seeking additional income or balancing other commitments.

What are some common challenges faced by Weekend Data Engineer Contractors, and how can they overcome them?

Weekend Data Engineer Contractors often encounter challenges such as limited access to stakeholders, tight turnaround times, and ensuring smooth handovers with weekday teams. To address these, clear documentation, proactive communication, and strong version control practices are essential. Working autonomously but staying aligned with the broader data engineering team helps ensure continuity and quality in deliverables.

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

To thrive as a Weekend Data Engineer Contractor, you need strong proficiency in data engineering principles, including ETL processes, database management, and programming languages like Python or SQL, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and relevant certifications (e.g., AWS Certified Data Analytics) is typically required. Strong problem-solving, effective communication, and the ability to work independently are crucial soft skills for this role. These skills and qualifications ensure high-quality, reliable data solutions are delivered efficiently during limited weekend hours, meeting project deadlines and client expectations.

What is the difference between Weekend Data Engineer Contract vs Weekend Data Analyst Contract?

AspectWeekend Data Engineer ContractWeekend Data Analyst Contract
Required CredentialsTypically requires a degree in Computer Science, Data Engineering certifications, SQL, Python, and cloud platform knowledgeUsually requires a degree in Data Science, Statistics, or related fields, with proficiency in SQL, Excel, and data visualization tools
Work EnvironmentPrimarily technical, involving building data pipelines, ETL processes, and data infrastructureFocuses on analyzing data, generating reports, and providing insights for decision-making
Employer & Industry UsageUsed in tech companies, finance, healthcare, and industries with large data needsCommon in marketing agencies, retail, finance, and any sector requiring data reporting

Weekend Data Engineer Contracts involve building and maintaining data infrastructure, requiring technical skills and certifications. In contrast, Weekend Data Analyst Contracts focus on analyzing data and creating reports. Both roles are in demand across various industries but serve different functions within data teams.

What job categories do people searching Weekend Data Engineer Contract jobs in Tennessee look for?

The top searched job categories for Weekend Data Engineer Contract jobs in Tennessee are:

What cities in Tennessee are hiring for Weekend Data Engineer Contract jobs?

Cities in Tennessee with the most Weekend Data Engineer Contract job openings:

AI Engineer (Intermediate)

Brooksource

Franklin, TN • On-site

$65 - $80/hr

Contractor

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Job description

Generative AI Engineer
Location: Remote
Duration: 6-Month Contract
Overview
Our client is seeking a Generative AI Engineer to support the development and implementation of enterprise AI initiatives. Working alongside senior AI leadership, this individual will help build, integrate, and deploy Generative AI solutions that improve business processes and unlock value from enterprise data.
This role is ideal for an engineer with a strong foundation in AI, machine learning, or data science who enjoys hands-on development and collaborating with cross-functional teams. The successful candidate will work closely with architects, data engineers, and business stakeholders to turn AI concepts into production-ready solutions.
Responsibilities
  • Develop and implement Generative AI solutions using modern AI platforms and cloud technologies.
  • Build and optimize prompts, AI workflows, and Retrieval-Augmented Generation (RAG) applications.
  • Integrate AI solutions with enterprise data platforms including Snowflake, Microsoft Fabric, and cloud-based data services.
  • Collaborate with senior AI engineers and architects to implement scalable AI solutions.
  • Develop APIs, pipelines, and automation that enable AI-powered applications.
  • Build proof-of-concepts and assist with production deployment of AI capabilities.
  • Test, troubleshoot, and optimize AI models and applications for performance and reliability.
  • Work with data engineering teams to prepare and integrate structured and unstructured data for AI consumption.
  • Document technical solutions and contribute to AI development standards and best practices.
  • Stay current with emerging AI technologies and recommend improvements to existing solutions.

Required Qualifications
  • 3+ years of experience in Software Engineering, Data Science, Machine Learning, or AI Engineering.
  • Hands-on experience developing Generative AI applications or machine learning solutions.
  • Experience working with Large Language Models (LLMs), prompt engineering, and AI APIs.
  • Experience building AI applications using Python or similar programming languages.
  • Familiarity with cloud platforms including Microsoft Azure and AWS.
  • Experience working with:
  • Microsoft AI ecosystem (Azure AI, Azure OpenAI, Microsoft Fabric, Microsoft Copilot, etc.)
  • Snowflake
  • Understanding of REST APIs, data integration, and cloud-native application development.
  • Strong problem-solving skills and the ability to work in a collaborative Agile environment.

Preferred Qualifications
  • Experience with Retrieval-Augmented Generation (RAG), vector databases, or semantic search.
  • Experience with LangChain, Semantic Kernel, AutoGen, or similar AI orchestration frameworks.
  • Familiarity with MLOps, CI/CD, and deploying AI solutions into production.
  • Exposure to AI governance, responsible AI, and enterprise security practices.
  • Experience with Microsoft Fabric
  • Experience with Curo or similar enterprise data platform

Technology Stack
  • Microsoft Azure & Microsoft AI Suite
  • AWS
  • Snowflake
  • Microsoft Fabric
  • Curo
  • Python
  • REST APIs
  • Large Language Models (OpenAI, Anthropic, Gemini, etc.)
  • Prompt Engineering
  • RAG
  • Git & CI/CD

Disclaimer: Brooksource, Medasource, and Calculated Hire are part of the Eight Eleven Group family of companies and operate under Eight Eleven Group, LLC. All employees receive the same benefits, policies, and terms of employment.
EEO:
We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship, pregnancy (including childbirth, lactation, and related conditions), or any other protected status in accordance with applicable federal, state, and local laws.
Benefits & Perks:
Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee's needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.
Pay Disclaimer:
The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.