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Weekend Data Engineer Contract Jobs in Tennessee

OMNIA Partners LLC

AI/ML Engineer

Franklin, TN · On-site

$113K - $135K/yr

Job Title Senior Software Engineer (Intelligent Data Systems) Location Franklin, TN Candidates must ... contracts, in more verticals, with transparent, value-driven pricing for our membership of ...

FOCUSPOINT

Data Analyst

Nashville, TN · On-site

$40 - $57/hr

Contract Pay: Commensurate with experience About FOCUSPOINT: FOCUSPOINT specializes in connecting ... You'll work directly with stakeholders, engineers, operators, and senior leaders to uncover trends ...

omnia

AI/ML Engineer

Franklin, TN · On-site

$113K - $135K/yr

Job Title Senior Software Engineer (Intelligent Data Systems) Location Franklin, TN Candidates must ... contracts, in more verticals, with transparent, value-driven pricing for our membership of ...

PGTEK

Data Center Hardware Engineer

Memphis, TN · On-site

Onsite Contract Length: 40 Weeks Employment Type: Contract - we do have full-time, perm employees ... data center environment. * Collaborate with other technicians, engineers, and site personnel to ...

PGTEK

Data Center Hardware Engineer

Memphis, TN · On-site

Onsite Contract Length: 40 Weeks Employment Type: Contract - we do have full-time, perm employees ... data center environment. * Collaborate with other technicians, engineers, and site personnel to ...

PGTEK

Data Center Hardware Engineer

Memphis, TN · On-site

Onsite Contract Length: 40 Weeks Employment Type: Contract - we do have full-time, perm employees ... data center environment. * Collaborate with other technicians, engineers, and site personnel to ...

PGTEK

Data Center Hardware Engineer

Memphis, TN · On-site

Onsite Contract Length: 40 Weeks Employment Type: Contract - we do have full-time, perm employees ... data center environment. * Collaborate with other technicians, engineers, and site personnel to ...

Whisper Aero

Advise leadership on contract risk allocation, commercial terms, data rights, liability, and ... Work directly with engineering and technical teams to ensure government deliverables and technical ...

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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 are popular job titles related to Weekend Data Engineer Contract jobs in Tennessee?

For Weekend Data Engineer Contract jobs in Tennessee, the most frequently searched job titles are:

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:

Weekend Data Engineer Contract jobs near you

Principal Data Modeler with GCP

Nashville, TN • On-site

Kanak Elite Services Inc
Software Development • 51 - 200 employees
Learn more about Kanak Elite Services Incexternal

$53 - $68.50/hr

Contractor

Re-posted 10 days ago

Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Principal Data Modeler with GCP with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Position           : Principal Data Modeler with GCP

Location          : Nashville, TN Onsite

Duration         : 12+ months contract

Job Summary:

We are seeking a highly experienced Principal Data Modeler to lead our enterprise data modelling efforts and define the blueprint for how data is structured, integrated, and governed across the organization. You will collaborate with data architects, engineers, analysts, and business stakeholders to design scalable, high-performance data models that support both operational and analytical workloads.

Key Responsibilities:

  • Lead Data Modelling Strategy: Define and drive the enterprise data modelling standards, guidelines, and best practices (conceptual, logical, and physical models).
  • Model Development: Design and maintain enterprise-wide data models, ensuring consistency, reuse, and adherence to data governance policies.
  • Collaboration: Work closely with data architects, DBAs, data engineers, BI teams, and business analysts to ensure models align with business needs and technical environments.
  • Data Integration & Warehousing: Contribute to the design of data lakes, data warehouses, and real-time data pipelines by modelling schemas for structured and semi-structured data.
  • Tool & Technology Expertise: Use industry-standard modelling tools (e.g., ER/Studio, ERwin, SQL Developer Data Modeler) and maintain model repositories and versioning.
  • Metadata & Lineage: Ensure data models are well-documented and integrated into metadata management and data lineage tools.
  • Data Quality & Governance: Support data quality initiatives by ensuring models align with data governance frameworks, including master data management and reference data standards.
  • Mentoring: Provide thought leadership and mentor junior data modellers and data engineers.

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field.
  • 10+ years of experience in data modelling and data architecture, preferably in large-scale enterprise environments.
  • Deep understanding of relational, dimensional, and NoSQL data modelling.
  • Strong knowledge of database technologies (e.g., Oracle, SQL Server, PostgreSQL, Snowflake, Redshift).
  • Experience with cloud platforms (AWS, Azure, GCP) and modern data stack tools.
  • Familiarity with data governance, metadata management, and data lineage concepts.
  • Exceptional analytical, problem-solving, and communication skills.
  • Proven ability to work cross-functionally with both technical and non-technical teams.