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Weekend Data Engineering Jobs in North Carolina (NOW HIRING)

Manager, DealCloud Data Engineering page is loaded## Manager, DealCloud Data Engineeringremote type: Hybrid (Partially Remote)locations: Charlotte, NCtime type: Full timeposted on: Posted Todayjob ...

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Lead Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

The ideal candidate is a hands-on data engineering leader with expertise in cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual ...

Lead Data Engineer

Raleigh, NC · Remote

$111K - $133K/yr

The ideal candidate is a hands-on data engineering leader with expertise in cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual ...

Lead Data Engineer

Raleigh, NC · Remote

$111K - $133K/yr

The ideal candidate is a hands-on data engineering leader with expertise in cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual ...

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Working closely with senior data engineering leadership, data architecture, analytics engineering, and product teams, this role combines hands-on technical execution with growing exposure to data ...

Data Engineer

Durham, NC · On-site

$90 - $130/hr

Working closely with senior data engineering leadership, data architecture, analytics engineering, and product teams, this role combines hands‑on technical execution with growing exposure to data ...

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Data Engineering * Design, develop, and maintain ELT pipelines using AWS services, Apache Airflow, and Databricks. * Drive platform evolution by identifying opportunities for AI-powered automation ...

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

This role combines hands-on engineering with subject matter specialization in cloud data storage, data modeling, and data structure design, enabling effective cyber threat detection, analytics ...

AWS Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

The primary responsibilities include developing and optimizing data engineering solutions using AWS technologies and Python, as well as working with AI and big data architecture. Responsibilities ...

The ideal candidate is an early-career professional with foundational experience in data engineering, software development, or cloud technologies who is eager to learn and grow in a collaborative ...

AWS Data Engineer

Matthews, NC · On-site

$107K - $129K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

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Showing results 1-20

Weekend Data Engineering information

What is the difference between Weekend Data Engineering vs Weekend Data Analysis?

AspectWeekend Data EngineeringWeekend Data Analysis
Required SkillsData pipeline development, SQL, Python, cloud platformsData interpretation, visualization, SQL, Excel
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

Weekend Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring technical skills and cloud platform knowledge. In contrast, Weekend Data Analysis emphasizes interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but serve different functions during weekend projects or part-time work.

Are weekend data engineers still in demand?

Weekend data engineers are still in demand as companies seek flexible staffing for data pipeline maintenance, troubleshooting, and project work outside regular hours. Skills in cloud platforms, SQL, and data tools like Apache Spark remain valuable, and many organizations require support during weekends to ensure continuous data operations.

Do weekend data engineers need to work on weekends?

Weekend data engineers typically work during regular business hours and do not usually need to work on weekends unless there are urgent data issues or scheduled maintenance. Some roles may require occasional weekend work for system updates or troubleshooting, but it is not a standard expectation for all positions. Flexibility depends on the company's policies and project deadlines.

What are the most commonly searched types of Data Engineering jobs in North Carolina?

The most popular types of Data Engineering jobs in North Carolina are:

What cities in North Carolina are hiring for Weekend Data Engineering jobs?

Cities in North Carolina with the most Weekend Data Engineering job openings:

Manager, Data Engineering

Intapp, Inc.

Charlotte, NC • On-site

$120 - $150/hr

Other

Posted 2 days ago

New


Job description

Manager, DealCloud Data Engineering page is loaded## Manager, DealCloud Data Engineeringremote type: Hybrid (Partially Remote)locations: Charlotte, NCtime type: Full timeposted on: Posted Todayjob requisition id: R2024938The Manager, Data Engineering, is a technical leader within the DealCloud Services team, responsible for owning end-to-end delivery of client data migration engagements. This role combines hands-on technical expertise with people leadership, driving delivery excellence, team development, and continuous improvement of our data engineering practice.**What you will do:*** Own end-to-end execution and quality of client data migration efforts, including resource staffing, forecasting, project budgets, and client experience.* Serve as a senior point of escalation for complex or at-risk projects, providing governance and expert steering.* Lead, mentor, and develop a team of data engineers and data migration consultants, providing technical guidance and supporting career growth. Manage team bandwidth to balance client delivery with learning, development, and internal initiatives.* Define and continuously improve the technical delivery methodology for data migrations within DealCloud Services. Collaborate with Technical Services leadership to refine and develop the broader technical delivery approach.* Establish and maintain strong cross-functional relationships with Sales, Product, Account Management, and other business stakeholders. Communicate effectively with both technical and non-technical audiences, up to and including executive level.* Contribute to and influence the ongoing development of the Intapp Data Tools product suite. Identify and implement process improvements across the data engineering practice, and stay current with emerging technologies, including automation in data engineering workflows.**What you will need:*** 7+ years of relevant industry experience in data engineering, data migration, or related technical delivery roles.* Proven track record delivering complex, client-facing technical projects, including prior experience managing or leading a team of engineers. Undergraduate degree in engineering, computer science, or equivalent.* Core: ETL pipelines, Python, SQL (SQL Server, MySQL, PostgreSQL). Platform and infrastructure: REST APIs, Docker, Kubernetes, cloud platforms (Azure preferred), Git, and CI/CD tooling.* Strong understanding of relational databases, data modelling, transformation, migration, data warehousing, and enterprise data governance frameworks. Security and compliance awareness in the context of client data handling.* Demonstrated ability to develop and retain technical talent. Strong organizational skills with the ability to manage multiple concurrent projects.* Excellent communication skills across technical and non-technical stakeholders, with strong client-facing skills focused on delivery outcomes and satisfaction.* Experience in a professional services or implementation-led delivery environment.* Experience building or managing internal data platforms or tooling, with hands-on use of data migration tooling or ETL frameworks. CRM or SaaS platform data experience, particularly in financial services or deal management systems.* Familiarity with emerging automation in data engineering contexts.**What you will gain:**At Intapp, you’ll get the opportunity to bring your talents and intellectual curiosity to create better outcomes for our people and our clients. You’ll be part of a growing public company, with a modern work environment that’s connected yet flexible and where your professional growth and well-being are top priorities. We’ll collaborate and grow together, supporting each other in a positive, open atmosphere that fosters creativity, innovation, and teamwork.Here, you will have the opportunity to:* **Expand Your Skills:** Unlock your potential with professional development opportunities supported by a community of experienced professionals. We offer reimbursement for training and continuing education to help you stay ahead in your career.* **Enjoy Where You Work:** Thrive in our modern, open offices designed to inspire creativity and collaboration. Our complimentary lunches and fully stocked kitchens ensure you have everything you need to stay energized throughout the day.* **Support What Matters Most:** Our comprehensive wellness and flexible time off programs and our benefits are designed to care for you and your family. Our family-formation benefits and support during your family-building journey ensure you have the resources you need when it matters most. We believe in giving back and supporting our communities with paid volunteer time off and a donation matching program for the causes you care about.Join us and be a part of a collaborative and welcoming culture where your contributions are valued, and your professional growth is a priority. Together, we are building a company of long-term value that we can all be proud of.#Li-MT2*Intapp provides equal employment opportunities to all qualified applicants and will make hiring decisions without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristic protected by federal, state or local laws.**Please note: Intapp will not hire through text message, social media, or email alone. We will never extend a job offer unless you have been contacted directly by an Intapp recruiter and have participated in the interview process which will generally consist of 3 or more virtual or in person meetings. Please note that Intapp only uses company email addresses, which contain “@intapp.com” or “@dealcloud.com” to communicate with candidates via email. Intapp will never ask for financial information of any kind or for any payment during the job application process. We post all legitimate job openings on the Intapp Career Site at . If you believe you were a victim of such a scam, you may contact your local authorities. Intapp is not responsible for any claims, losses, damages, or expenses resulting from scammers.*Intapp builds AI software to power the world’s top investment, legal, and consulting firms. Our clients face unique challenges: they must track and manage complex client relationships, navigate strict regulatory requirements, and manage sensitive deal information. We develop software specifically for these needs, helping firms find and win business, onboard clients safely and manage risk, deliver exceptional work, and capture full value. Today, more than 2,700 firms worldwide rely on Intapp, including 95 of the Am Law 100, 16 of the top 20 accounting firms, and more than 1,700 private capital, investment banking, and real assets firms. Intapp has helped firms achieve measurable impact — from 25% more pitch opportunities to 55% faster client onboarding — turning intelligence into competitive advantage. Founded in 2000 and headquartered in Palo Alto, California, Intapp completed a successful IPO on June 30, 2021 (NASDAQ: INTA). Alongside a global ecosystem of partners, Intapp accelerates innovation and integration, ensuring our clients are always at the forefront of transformation. #J-18808-Ljbffr