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Weekend Data Engineer Contract Jobs in Raleigh, NC

Carrboro, Town of (NC)

Planning Director

Carrboro, NC · On-site +1

$105K - $135K/yr

... Engineer contract Development Plan Review, preparation of long-range and small area plans ... The position may require work outside normal business hours, including nights, weekends, holidays ...

VAST Data

DevOps Engineer (East Coast)

Raleigh, NC · On-site +1

$51.25 - $70.25/hr

Description VAST Data is looking for a DevOps Engineer to join our growing team! Due to the nature of this role involving active engagement with government contracts and sensitive information, U.S ...

ICMA

Planning Director

Carrboro, NC · On-site

$125 - $150/hr

... Engineer contract Development Plan Review, preparation of long-range and small area plans ... The position may require work outside normal business hours, including nights, weekends, holidays ...

Redhat

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

Work closely with data engineering and ML Ops functional roles to operationalize data science ... contract between Red Hat and the recruitment agency or party requesting payment of a fee.Red Hat ...

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All JobsData Engineer Contract JobsWeekend Data Engineer Contract JobsWeekend Data Engineer Contract Jobs in Raleigh, NC

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 Sep 9, 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 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 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:

Weekend Data Engineer Contract jobs near you
Infographic showing various Weekend Data Engineer Contract job openings in Raleigh, NC as of September 2026, with employment types broken down into 76% Full Time, 8% Part Time, 8% Temporary, and 8% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.

Data Engineer 1, Operational Technology - Operations #4941

Durham, NC • On-site

GRAIL
Biotechnology Research and Development • 1 - 5K employees
Learn more about GRAILexternal

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Job description

Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care.
We are a healthcare company, pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine's greatest challenges.
GRAIL is headquartered in the bay area of California, with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies.
For more information, please visit grail.com
As a Data Engineer on the Operational Technology team, you will build and maintain the data pipelines that connect GRAIL's lab instruments, automation systems, and operational platforms to a trusted, well modeled data foundation. You will own well scoped ingestion and transformation pipelines end to end, partnering with systems engineers, lab operations, data scientists, and automation engineers to keep data flowing reliably from the lab floor to the analytics and AI systems that depend on it. This is a hands-on role for an engineer who is ready to take ownership of real data infrastructure and grow quickly in a fast paced, regulated environment. Expect to work alongside a talented and highly motivated team that moves quickly.
This role is based on-site in RTP, North Carolina, Monday through Friday. The position participates in an on-call rotation and may occasionally require weekend or holiday support for production incidents, maintenance, or critical deployments.
Responsibilities:
  • Build and maintain data pipelines that ingest and integrate information from laboratory instruments, automation systems, sequencers, operational platforms, APIs, autonomous robotics platforms, databases and file based data sources.
  • Support downstream analytics, reporting, and AI systems by delivering clean, trustworthy datasets and timely data extracts for troubleshooting, root-cause investigations and platform improvements.
  • Develop and optimize SQL and transformation logic to cleanse, standardize, and model raw instrument and production data into reliable, well structured datasets.
  • Build and support datasets and data models used by operational dashboards, analytics, process monitoring, troubleshooting, and governed AI enabled workflows.
  • Implement orchestration, testing, monitoring and alerting so that data failures, freshness issues, schema changes, and incomplete processing are identified early.
  • Implement data validation and quality checks to ensure datasets are accurate, complete, and reliable.
  • Document pipelines, data models, and datasets to support reproducibility and compliance with ISO, CLIA, CAP, NYS, GMP, and FDA requirements.
  • Continuously improve your technical skills and the team's engineering practices.

Required Qualifications:
  • Degree in Computer Science, Mathematics, Software Engineering, Data Science, Life Sciences, Physics or similar field.
  • 1+ years of relevant professional, internship, academic, or project experience in data engineering, analytics engineering, software development, or a related field, or equivalent practical experience.
  • Proficiency in SQL.
  • Working proficiency with one or more programming languages, such as Python, Rust, C++, or similar.
  • Basic understanding of ETL or ELT pipelines, relational databases, and structured or semi-structured data.
  • Strong attention to detail and a commitment to data quality, reliability and accuracy.
  • Ability to collaborate effectively in teams of technical and non-technical individuals, and comfortable working in a rapidly changing environment with dynamic objectives and fast iteration.
  • Ability to investigate technical problems methodically, continuously learn and communicate clearly.
  • A highly analytical mindset and eagerness to solve technical problems.

Preferred Qualifications:
  • Familiarity with data pipeline orchestration and transformation tools such as Airflow, dbt, or comparable technologies.
  • Familiarity with cloud data platforms, object storage and warehouses such as AWS S3, Redshift, Glue, Snowflake or comparable technologies.
  • Familiarity integrating AI/agentic tooling into the data engineering SDLC.
  • Experience with semantic data modeling, data lineage, and automated data quality testing.
  • Familiarity with statistical methods or basic process analytics.
  • Exposure to manufacturing, clinical laboratory operations, diagnostics, or biotechnology.
  • Experience with version control systems such as Git and collaborative development practices.
  • Basic understanding of APIs, file transfers, networking and system integrations.

The expected, full-time, annual base pay scale for this position is $86K - $106K. Actual base pay will consider skills, experience, and location.
This role may be eligible for other forms of compensation, including an annual bonus and/or incentives, subject to the terms of the applicable plans and Company discretion. This range reflects a good-faith estimate of the range that the Company reasonably expects to pay for the position upon hire; the actual compensation offered may vary depending on factors such as the candidate's qualifications. Employees in this role are also eligible for GRAIL's comprehensive and competitive benefits package, offered in accordance with our applicable plans and policies. This package currently includes flexible time-off or vacation; a 401(k) retirement plan with employer match; medical, dental, and vision coverage; and carefully selected mindfulness programs.
GRAIL is an equal employment opportunity employer, and we are committed to building a workplace where every individual can thrive, contribute, and grow. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, disability, status as a protected veteran, , or any other class or characteristic protected by applicable federal, state, and local laws. Additionally, GRAIL will consider for employment qualified applicants with arrest and conviction records in a manner consistent with applicable law and provide reasonable accommodations to qualified individuals with disabilities. Please contact us at [email protected] if you require an accommodation to apply for an open position.
GRAIL maintains a drug-free workplace. We welcome job-seekers from all backgrounds to join us!
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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