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Weekend Data Engineer Contract Jobs in Raleigh, NC

Architect, Data AI

Durham, NC

$61.50 - $79.25/hr

... contract understanding, autonomous sourcing workflows, and beyond. What Success Looks Like in 12 ... Partner with business, product, and engineering leaders to translate procurement and supply chain ...

Architect, Data AI

Durham, NC ยท On-site

$61.50 - $79.25/hr

... engineering, and partner directly with product, engineering, and customer-facing leaders to ... contract understanding, autonomous sourcing workflows, and beyond. What Success Looks Like in 12 ...

Architect, Data AI

Durham, NC ยท On-site

$61.50 - $79.25/hr

... engineering, and partner directly with product, engineering, and customer-facing leaders to ... contract understanding, autonomous sourcing workflows, and beyond. What Success Looks Like in 12 ...

DevOps Engineer (East Coast)

Raleigh, NC ยท 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 ...

IXL Learning, developer of personalized learning products used by millions of people globally, is ... as data privacy, security, and SOW's * Prior experience in contract administration * Prior ...

Data Scientist

Durham, NC ยท Remote

$51 - $58/hr

This is a long-term contract opportunity offering remote work flexibility. We are looking for candidates with strong experience in the R programming language, geospatial/environmental data analysis ...

IXL Learning, developer of personalized learning products used by millions of people globally, is ... as data privacy, security, and SOW's * Prior experience in contract administration * Prior ...

Description VAST Data is looking for a Customer Support Engineer to join our growing team! This is ... Rotational weekend shift once every 8-12 weeks and occasional holiday coverage.

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Shall be responsible for preparing all necessary reports as specified in the contract's documents ...

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Shall be responsible for preparing all necessary reports as specified in the contract's documents ...

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 ...

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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 Jun 23, 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 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 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 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:
Infographic showing various Weekend Data Engineer Contract job openings in Raleigh, NC as of June 2026, with employment types broken down into 2% As Needed, 64% Full Time, 2% Part Time, and 32% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.

AVP, Software Engineering - Enterprise Reporting and Data (Hybrid - Hartford/Jersey City/Raleigh)

Archgroup

Raleigh, NC โ€ข On-site

$111K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility.

Job Summary

The Assistant Vice President of Enterprise Reporting and Data leads enterprise reporting and data strategy across critical functions, including data engineering, data governance, agentic AI, business intelligence and reporting, actuarial data support, and specialized areas such as Ceded Reinsurance. This role owns end-to-end data and reporting platforms, ensuring scalable architecture, efficient operations, and business-aligned delivery across agile teams and vendor partners. The AVP also drives cross-functional collaboration, business value, compliance, and modernization across the data ecosystem, including Snowflake, Azure services, Databricks, Sigma, Python, Airflow, Collibra, Stibo, and Power BI.

In addition, the role is responsible for leading delivery, governance, and operational oversight across key enterprise data platform capabilities, including Data Stores, Cortex, Data Security, MDM, RDM, Data Lineage, and Data Catalog. The AVP will provide leadership across Agile execution and solution architecture while ensuring strong platform design governance, scalability, and standardization. A core expectation is maintaining close proximity to delivery, actively guiding engineering teams and course-correcting execution when needed. The role partners directly with SVP-level stakeholders to drive requirement alignment, negotiation, and business outcomes rather than operating as an order-taker. It also plays a key role in advancing AI-enabled reporting and modernization efforts across the AINA data ecosystem while ensuring operational stability and compliance.

Responsibilities

Strategic Leadership & Governance

  • Set the vision and strategy for data initiatives across key product teams, including Enterprise Reporting, Ceded Reinsurance, and Actuarial IT.
  • Partner with senior business stakeholders to align data initiatives with enterprise goals.
  • Lead cross-functional agile teams to deliver high-quality data products and platforms that create business value.

Data Platform Oversight

  • Lead the roadmap, architecture, and lifecycle management of enterprise data platforms, including Snowflake-based data lakes, data warehouses, and Azure pipelines.
  • Ensure reliable development, deployment, and support of ETL/ELT frameworks using tools such as Snowflake, DBT, Databricks, Python, Qlik, Airflow, and ADF.

Business Intelligence & Reporting

  • Lead strategy and development for Sigma, Power BI, SSRS, and dashboarding solutions.
  • Partner with business teams to deliver actionable insights, self-service reporting, and financial and statutory reporting support.

Enterprise Data & Reporting Support

  • Provide strategic and technical leadership for teams supporting enterprise reporting and data, actuarial modeling, reserving data flows, and ceded reinsurance data provisioning.
  • Ensure timely, accurate, and audit-ready data for reporting platforms, actuarial processes, and reinsurance calculations and reporting.

Program Management & Delivery

  • Lead multiple delivery teams across the U.S. and offshore locations, maintaining sprint velocity and roadmap execution.
  • Ensure delivery complies with SOX, SOC 2, and NYDFS requirements.
  • Manage vendor relationships, contract negotiations, and budget planning.

Innovation, Modernization & Quality

  • Promote modern agentic AI, DevOps, CI/CD, Git, and orchestration practices across data engineering and reporting pipelines.
  • Drive innovation in AI/ML, data observability, and self-service capabilities to improve business outcomes.
  • Ensure strong documentation, test coverage, and audit trails across data processes and platforms.

Skills & Experience

  • 12+ years of experience in data platforms, data engineering, and business intelligence.
  • 7+ years of leadership experience managing multidisciplinary teams across data engineering, reporting, actuarial data, or reinsurance.
  • Strong experience in insurance (P&C), finance, actuarial, or risk domains is highly preferred.
  • Deep knowledge of cloud technologies, especially Azure and Snowflake, with familiarity in Power BI, SSIS, and SSRS.
  • Must demonstrate strong proximity to delivery (not just oversight), including ability to review code, guide engineering teams on "how to build," and step in to course-correct technical execution when needed.
  • Proven experience engaging directly with SVP-level stakeholders to drive and negotiate requirements, with accountability for outcomes rather than operating as a downstream delivery partner.
  • Working, hands-on proficiency in Python within data engineering contexts, with the ability to apply it in pipelines or guide teams in its practical use (not just theoretical exposure)
  • Experience with regulatory compliance and audit standards, including SOX, SOC 2, and NYDFS.
  • Proven success leading large-scale data transformation programs and cross-functional delivery teams.
  • Ability to mentor senior managers, architects, and subject matter experts, with strong stakeholder management and influencing skills.
  • Demonstrated experience building data capabilities and tools to support analytics, research, and actuarial functions in an insurance environment.
  • Strong proficiency in SQL, Python, or similar programming languages.
  • Experience with orchestration tools such as Airflow.
  • Experience with cloud platforms and tools such as Snowflake and Databricks.
  • Ability to work independently while managing priorities and collaborating across teams.
  • Excellent collaboration and relationship-building skills.
  • Comfort with ambiguity and the ability to break complex problems into manageable steps.
  • Strong analytical skills and the ability to derive insights from data.
  • Strong problem-solving and critical-thinking skills.
  • Excellent verbal and written communication skills, with the ability to tailor messages for technical and non-technical audiences, including senior executives.
  • Flexibility to adapt to changing priorities and requirements.
  • Ability to lead and mentor mid-level and junior team members in delivering high-quality solutions to complex business challenges.
  • Curiosity and creativity in exploring modern technologies and new data sources.
  • Ability to document data sources and technical solutions effectively.
  • Ability to balance competing priorities across portfolios and resources.
  • Ability to build strong partnerships across the organization to support strategic goals.
  • Commitment to continuously improving team capabilities and workflows.

Education

  • Master's or Bachelor's degree in computer science, data science, or a related field is required.

#LI-Hybrid
#LI-ZP1

For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.

For Jersey City: $148,400 - $230,322/year

For Hartford: $133,500 - $207,289/year

  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.

  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you.If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.

14400 Arch Insurance Group Inc.