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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 ...

Socket.dev

Senior Engineering Manager, Data

Nashville, TN · On-site

$225 - $265/hr

Champion best practices, including dbt patterns, data contracts, testing, and documentation Deliver ... Exposure to AI/ML or data science workflows: you'll oversee a staff engineer focused on AI/ML, but ...

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 ...

TEKsystems

Data Center Engineer

Memphis, TN

$45 - $50/hr

... AI Data Center Functional Leaders, Technical Engineers, and the Field Service Manager (FSM) to ... This is a Contract position based out of Memphis, TN. Pay and Benefits The pay range for this ...

TEKsystems

Data Center Engineer

Memphis, TN

$45 - $50/hr

... AI Data Center Functional Leaders, Technical Engineers, and the Field Service Manager (FSM) to ... This is a Contract position based out of Memphis, TN. Pay and Benefits The pay range for this ...

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All JobsData Engineer Contract JobsWeekend Data Engineer Contract JobsWeekend Data Engineer Contract Jobs in Tennessee

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

Data Scientist

Robotics Technologies LLC

Nashville, TN • On-site

$100 - $130/hr

Other

Posted 17 days ago

Job description

Job Description: We are seeking a highly skilled Senior Data Scientist with strong experience in cloud-based data platforms (Google Cloud or similar), Python/PySpark development, and advanced time‑series forecasting. The ideal candidate will have deep supply chain domain expertise—preferably in Demand Forecasting—and a proven track record of building, training, and operationalizing predictive models at scale. This role will also focus on identifying data anomalies, creating alerting frameworks, and improving model accuracy through metric evaluation and tuning.

Key Responsibilities Model Development & Forecasting
  • Build, train, and deploy time‑series forecasting models using techniques such as XGBoost, Random Forest, Linear regression–based models, ARIMA, SARIMA, Holt‑Winters, Prophet / FBProphet.
  • Operationalize model pipelines using Google Cloud Platform (GCP) services (BigQuery, Cloud Composer, Dataproc, Cloud Run) or equivalent cloud technologies (AWS, Azure).
  • Perform feature engineering, hyperparameter tuning, model validation, and continuous improvement of forecasting pipelines.
Data Engineering & Cloud Expertise
  • Develop scalable data processing workflows using Python, PySpark, and SQL.
  • Work with large datasets and cloud‑native data environments for analytics and modeling.
  • Collaborate with data engineering teams to ensure robust data pipelines and high‑quality training data.
Analytics & Anomaly Detection
  • Design and implement data anomaly detection systems to identify volume, pattern, and trend deviations.
  • Build automated alerting frameworks for early warning of data or forecast issues.
  • Investigate root causes of anomalies and recommend long‑term fixes.
Accuracy Metrics & Optimization
  • Develop and maintain accuracy measurement frameworks (e.g., MAPE, RMSE, MAE, WAPE, Bias).
  • Continuously fine‑tune and optimize model performance based on metric evaluations.
  • Communicate model accuracy trends and insights to both technical and business stakeholders.
Domain Expertise – Supply Chain & Demand Forecasting
  • Apply strong domain knowledge in retail supply chain, inventory planning, replenishment, and demand forecasting.
  • Partner with business teams to translate forecasting needs into data science solutions.
Required Qualifications
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years of experience as a Data Scientist with hands‑on model development.
  • Strong programming skills in Python, including PySpark and common data science libraries (Pandas, NumPy, SciPy, scikit learn).
  • Experience working with GCP or similar cloud platforms.
  • Hands‑on experience with time‑series forecasting, regression models, and ensemble methods.
  • Strong SQL experience and comfort with large‑scale datasets.
  • Ability to diagnose data issues, perform anomaly analysis, and build automated alerting solutions.
Preferred Qualifications
  • Experience in retail, supply chain, inventory, or demand forecasting systems.
  • Exposure to MLOps practices (CI/CD, model monitoring, retraining pipelines).

ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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