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Weekend Data Engineer Contract Jobs in Raleigh, NC

Data Scientist

Raleigh, NC ยท On-site +1

Pipeline Engineering: Author robust data/ML pipelines (orchestrated with Step Functions / Airflow ... Unit/integration tests for data and models, contract tests for features, reproducible training ...

... administration, contract lifecycle from review to execution, compliance and negotiation for ... The role also supports data analysis and manipulation, FAR/DFARs/CFR compliance, representations ...

Sr. Analytics Engineer

Raleigh, NC

$101.60K - $139.50K/yr

... data contracts. * Lead complex initiatives: Drive cross-team builds/rebuilds and migrations end-to ... Represent analytics engineering in architecture reviews and governance councils. * Participate in ...

Sr. Analytics Engineer

Raleigh, NC ยท On-site

$101.60K - $139.50K/yr

... data contracts. * Lead complex initiatives: Drive cross-team builds/rebuilds and migrations end-to ... Represent analytics engineering in architecture reviews and governance councils. * Participate in ...

Sr. Analytics Engineer

Raleigh, NC

$101.60K - $139.50K/yr

... data contracts. * Lead complex initiatives: Drive cross-team builds/rebuilds and migrations end-to ... Represent analytics engineering in architecture reviews and governance councils. * Participate in ...

Contract Job Title: Software Engineer II Location: Durham, NC (hybrid remote) Candidates must be ... Interface sensors, motion devices, lighting, and cameras while implementing advanced logic for data ...

Contract Job Title: Software Engineer II Location: Durham, NC (hybrid remote) Candidates must be ... Interface sensors, motion devices, lighting, and cameras while implementing advanced logic for data ...

Data Scientist

Cary, NC ยท Hybrid

$60 - $65/hr

... engineering teams to uncover insights and drive measurable business outcomes. This is a hands-on ... Job Type: Contract * Experience Level: Mid-level Key Responsibilities * Design and analyze ...

Contracts Manager

Raleigh, NC

$86.50K - $115.70K/yr

... award management, contract lifecycle from review to execution, compliance and negotiation for ... The role also supports data analysis and manipulation, FAR/DFARs/CFR compliance, representations ...

... Contract Type: W2 Only Duration: 10+ Months Location: Durham, NC Pay Range: $75 - $80 per hour on ... Collaborate with Data Engineering to define backend data requirements and ensure accurate data ...

Overview POSITION TITLE (Oracle title) DATA ANALYST WORKING TITLE Data Analyst-OPT (Personnel Data ... CONTRACT No WORK WEEK SCHEDULE Monday-Friday (occasional evenings and weekends) Position is ...

Overview POSITION TITLE (Oracle title) DATA ANALYST WORKING TITLE Data Analyst-OPT (Personnel Data ... CONTRACT No WORK WEEK SCHEDULE Monday-Friday (occasional evenings and weekends) Position is ...

Overview POSITION TITLE (Oracle title) DATA ANALYST WORKING TITLE Data Analyst-OPT (Personnel Data ... CONTRACT No WORK WEEK SCHEDULE Monday-Friday (occasional evenings and weekends) Position is ...

This role centers on delivering AI agents that generate legal documents , interpret contracts , and ... Build scalable prompt engineering frameworks and manage fine-tuning or adaptation of models to ...

This role centers on delivering AI agents that generate legal documents , interpret contracts , and ... Build scalable prompt engineering frameworks and manage fine-tuning or adaptation of models to ...

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Showing results 1-20

Weekend Data Engineer Contract information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do weekend data engineer contract jobs pay per year?

As of May 30, 2026, the average yearly pay for weekend data engineer contract in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

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 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 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 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 the most commonly searched types of Weekend Data Engineer jobs in Raleigh, NC? The most popular types of Weekend Data Engineer jobs in Raleigh, NC are:
What are popular job titles related to Weekend Data Engineer Contract jobs in Raleigh, NC? For Weekend Data Engineer Contract jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Weekend Data Engineer Contract jobs in Raleigh, NC look for? The top searched job categories for Weekend Data Engineer Contract jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Weekend Data Engineer Contract jobs? Cities near Raleigh, NC with the most Weekend Data Engineer Contract job openings:
Data Scientist

Data Scientist

Advance Auto Parts

Raleigh, NC โ€ข On-site, Remote

Full-time

Posted 3 days ago


Job description

Job Description

Role Summary

We are seeking an experienced Data Scientist with strong expertise in Data Science, machine learning engineering with hands on experience in designing and deploying ML solutions in production. This role focuses on building scalable ML solutions, productionizing models, and enabling robust ML platforms for enterprise-grade deployments.

This role is a hybrid work model (4 days in office, 1 day work from home) based out of our corporate headquarters located in Raleigh, NC

Key Responsibilities

  • Build ML Models: Design and implement predictive and prescriptive models for regression, classification, and optimization problems.Apply advanced techniques such as structural time series modeling and boosting algorithms (e.g., XGBoost, LightGBM).
  • Train and Tune Models: Develop and tune machine learning models using Python, PySpark, TensorFlow, and PyTorch.
  • Collaboration & Communication: Work closely with stakeholders to understand business challenges and translate them into data science solutions and work in the end-to-end solutioning. Collaborate with cross-functional teams to ensure successful integration of models into business processes.
  • Monitoring & Visualization: Rapidly prototype and test hypotheses to validate model approaches. Build automated workflows for model monitoring and performance evaluation. Create dashboards using tools like Databricks and Palantir to visualize key model metrics like model drift, Shapley values etc.
  • Productionize ML: Build repeatable paths from experimentation to deployment (batch, streaming, and low-latency endpoints), including feature engineering, training, evaluation,
  • Own ML Platform: Stand up and operate core platform components-model registry, feature store, experiment tracking, artifact stores, and standardized CI/CD for ML.
  • Pipeline Engineering: Author robust data/ML pipelines (orchestrated with Step Functions / Airflow / Argo) that train, validate, and release models on schedules or events.
  • Observability & Quality: Implement end-to-end monitoring, data validation, model/drift checks, and alerting SLA/SLOs.
  • Governance & Risk: Enforce model/version lineage, reproducibility, approvals, rollback plans, auditability, and cost controls aligned to enterprise policies.
  • Partner & Mentor: Collaborate with on-shore/off-shore teams; coach data scientists on packaging, testing, and performance; contribute to standards and reviews.
  • Hands-on Delivery: Prototype new patterns; troubleshoot production issues across data, model, and infrastructure layers.

Required Qualifications

  • Education: Bachelor's degree in Computer Science, Information Technology, Data Science, or Mathematics, Statistics or related field. MS Preferred.
  • Programming: 5+ years experience with Python (pandas, PySpark, scikit-learn; familiarity with PyTorch/TensorFlow helpful), bash, experience with Docker.
  • ML Experimentation: Design and implement predictive and prescriptive models for regression, classification, and optimization problems. Apply advanced techniques such as structural time series modeling and boosting algorithms (e.g., XGBoost, LightGBM).
  • ML Tooling: 5+ years experience with SageMaker (training, processing, pipelines, model registry, endpoints) or equivalents (Kubeflow, MLflow/Feast, Vertex, Databricks ML).
  • Pipelines & Orchestration: 5+ years' experience with Databricks DABS or Airflow or Step Functions, e-driven designs with EventBridge/SQS/Kinesis.
  • Cloud Foundations: 3+ years experience with AWS/Azure/GCP on various services like ECR/ECS, Lambda, API Gateway, S3, Glue/Athena/EMR, RDS/Aurora (PostgreSQL/MySQL), DynamoDB, CloudWatch, IAM, VPC, WAF. GCP experience is preferred.
  • Snowflake Foundations: Warehouses, databases, schemas, stages, Snowflake SQL, RBAC, UDF, Snowpark.
  • CI/CD: 3+ years hands-on experience with CodeBuild/Code Pipeline or GitHub Actions/GitLab; blue/green, canary, and shadow deployments for models and services.
  • Feature Pipelines: Proven experience with batch/stream pipelines, schema management, partitioning, performance tuning; parquet/iceberg best practices.
  • Testing & Monitoring: Unit/integration tests for data and models, contract tests for features, reproducible training; data drift/performance monitoring.
  • Operational Mindset: Incident response for model services, SLOs, dashboards, runbooks; strong debugging across data, model, and infra layers.
  • Soft Skills: Clear communication, collaborative mindset, and a bias to automate & document.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age national origin, religion, sexual orientation, gender identity, status as a veteran and basis of disability or any other federal, state or local protected class. We comply with all applicable federal, state, and local laws.

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https://jobs.advanceautoparts.com/us/en/disclosures

Advance Auto Parts logo

About Advance Auto Parts

Sourced by ZipRecruiter

At Advance Auto Parts we have a passion for YES. Each day we are motivated by a passion to help our Customers. We have a commitment to advance the lives of our fellow Team Members, Customers, and the Communities where we live and work.

Industry

Motor vehicle and motor vehicle parts wholesalers, retail, internet and it and elementary and secondary schools

Company size

10,000+ Employees

Headquarters location

Raleigh, NC, US