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Weekend Data Engineer Jobs in Charlotte, NC (NOW HIRING)

Data Engineer

Rock Hill, SC · Remote

$117K - $140K/yr

Provide after-hours or weekend support as needed. Demonstrate an ability to work independently ... data engineering or a related role. 8+ years of data analysis. Preferably in the Healthcare ...

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

* The Cloud Data Storage / Data Engineer SME & Data Structure Designer will support the design, implementation, and optimization of secure, scalable, and high-performance cloud-based data platforms for ...

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Seeking Sr Data Engineer - financial services to join our Charlotte, NC (onsite 3 days a week is a must in Hybris) long-term contract. Only local to Charlotte, NC who can come in-person interview ...

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Seeking Sr Data Engineer - financial services to join our Charlotte, NC (onsite 3 days a week is a must in Hybris) long-term contract. Only local to Charlotte, NC who can come in-person interview ...

Guidehouse seeks a Data Engineer I to support the development, maintenance, and enhancement of data pipelines, cloud-based data platforms, and analytics solutions. The ideal candidate is an early ...

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Data Engineer Location: Charlotte, NC Fulltime * 7+ years' experience as Data Engineer having experience working with Bigdata Hadoop and data warehousing projects. * Tech stacks includes PySpark ...

Data Engineer

Charlotte, NC · On-site

$100K - $130K/yr

Data Engineer Location: Charlotte, NC (Hybrid) Schedule: Full-Time | Hybrid (3 days onsite) Interview Process: In-Person Interview Required About the Role We are seeking a Data Engineer to join a ...

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Data Engineer Location: Charlotte, NC Duration: Long term Skills - Python, Pyspark, GCP, ETL-Big Data/Data Warehouse, Data Analytics, SQL, Git * BS or MS degree in computer science, computer ...

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

We are currently seeking a Big Data Engineer for an onsite position located in Charlotte, NC, Denver, CO, Jacksonville, FL and Chicago, IL. This is a 12+ month W2 contract opportunity. Summary: Join ...

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Data Engineer Contract: Ongoing contract (up to 24 months) Location: Charlotte NC Onsite / Hybrid / Remote: Hybrid- 3 days onsite Interview Process: 2 rounds (virtual)- 1st is 30 minute technical ...

Data Engineer

Charlotte, NC · On-site

$50 - $70/hr

Title: Data Engineer Duration: 12+ months Location: Charlotte, NC 28202 Role Objectives * These roles will be part of the Data Strategy team spanning across the *** Capital Markets and Nikko ...

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

We are seeking a highly skilled Full Stack Data Engineer to join our team. This role focuses on designing, developing, and supporting modern data solutions across a cloud-based data stack. The ideal ...

Data Engineer

Charlotte, NC · On-site

$100 - $125/hr

In-Person Interview Required About the Role We are seeking a Data Engineer to join a team focused on modernizing enterprise data platforms and supporting cloud migration initiatives. This is a ...

Data Engineer

Charlotte, NC · On-site

$100 - $125/hr

In-Person Interview Required About the Role We are seeking a Data Engineer to join a team focused on modernizing enterprise data platforms and supporting cloud migration initiatives. This is a hands ...

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Must Haves: * 4 years + - Cloud Data Storage and Data Engineering across Google Cloud Platform (GCP), Microsoft Azure, and AWS environments. Solid communication skills Nice To Have: * SQL Server ...

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Weekend Data Engineer information

See Charlotte, NC salary details

$43.5K

$126.7K

$173.4K

How much do weekend data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for weekend data engineer in Charlotte, NC is $126,696.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $134,300.00 per year, depending on experience, location, and employer.

What is a weekend data engineer?

Weekend Data Engineers are professionals who work primarily on weekends to design, build, and maintain data systems and pipelines. Their responsibilities may include ensuring data flows smoothly between systems, managing databases, and supporting data analytics tasks during off-peak hours. This role is ideal for organizations that need data engineering support outside of standard business hours, such as companies with continuous operations or those processing large volumes of data over weekends. Weekend Data Engineers often collaborate remotely and may be part-time or contract workers.

What are the key skills and qualifications needed to thrive as a weekend data engineer?

To thrive as a Weekend Data Engineer, you need strong proficiency in data modeling, SQL, ETL processes, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), data warehouse systems (like Redshift or Snowflake), and relevant certifications are often required. Excellent problem-solving, attention to detail, and the ability to work independently during off-hours are standout soft skills. These skills and qualities are crucial for maintaining reliable data pipelines, troubleshooting issues efficiently, and ensuring uninterrupted data services during weekend operations.

What are the typical expectations and work patterns for a weekend data engineer?

As a Weekend Data Engineer, you’ll generally be responsible for maintaining, optimizing, and troubleshooting data pipelines and infrastructure during the weekend hours when production systems still require support. This role often involves monitoring data flows, addressing urgent issues, and ensuring data availability for business needs that operate on a 24/7 basis. You may collaborate remotely with on-call team members or communicate hand-offs to weekday staff, so strong documentation and clear communication are key. Weekend shifts can offer flexibility but may also require independent problem-solving, as fewer team members are available for immediate support.

What is the difference between Weekend Data Engineer vs Part-Time Data Analyst?

AspectWeekend Data EngineerPart-Time Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with data pipelinesBachelor's in related field; skills in data analysis and visualization
Work EnvironmentTech companies, data-driven organizations, remote or on-siteBusiness, marketing, or finance sectors; often remote or part-time
Employer & Industry UsageUsed in industries needing weekend data processing or maintenanceUsed in roles requiring part-time data insights and reporting

The Weekend Data Engineer focuses on building and maintaining data pipelines during weekends, often requiring technical skills and experience with data infrastructure. In contrast, a Part-Time Data Analyst primarily interprets data, creates reports, and provides insights on a flexible schedule. Both roles are suitable for flexible work arrangements but serve different functions within data teams.

What are the most commonly searched types of Data Engineer jobs in Charlotte, NC?

The most popular types of Data Engineer jobs in Charlotte, NC are:

What are popular job titles related to Weekend Data Engineer jobs in Charlotte, NC?

For Weekend Data Engineer jobs in Charlotte, NC, the most frequently searched job titles are:

What job categories do people searching Weekend Data Engineer jobs in Charlotte, NC look for?

The top searched job categories for Weekend Data Engineer jobs in Charlotte, NC are:

What cities near Charlotte, NC are hiring for Weekend Data Engineer jobs?

Cities near Charlotte, NC with the most Weekend Data Engineer job openings:

Infographic showing various Weekend Data Engineer job openings in Charlotte, NC as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $126,696 per year, or $60.9 per hour.

Data Engineer

1 point system

Rock Hill, SC • Remote

$117K - $140K/yr

Contractor

Re-posted 15 days ago


Job description

Requirement - Data Engineer

Location- USA Remote

Contract W2

Assessment test required

Assessment required - PL/SQL, Data Analysis, NoSQL (MongoDB, Cassandra, Nejo4J)

** Healthcare experience

** Medical & Pharmacy Claims experience

Responsibilities:

Create, maintain and execute complex SQL queries for data management and data validation.

Demonstrates subject matter expertise in relation to data mapping, transformations, validations, and ingestion workflows.

Monitor data workflows and ensure data quality, consistency, and reliability.

Design and implement scalable and secure data architectures to support new and existing applications.

Perform production solutions and services configurations as needed.

Serve as a change agent to identify organizational improvements and make recommendations to improve business processes.

Collaborate with cross-functional teams including technical product owners, analysts, and software engineers.

Create and maintain SOP documents.

Participate in code reviews, sprint planning, and architectural discussions.

Mentor junior engineers and promote best practices in data engineering.

Participate in meetings with clients and/or stakeholders.

Completes work as assigned.

Provide after-hours or weekend support as needed.

Demonstrate an ability to work independently.

Adhere to all the industry level and organization level compliance rules and regulations to maintain data integrity.

Complete task assignments using department ticketing/productivity systems within assigned deadline.

Achieve organizational and individual goals as identified in performance reviews and goal setting exercises.

Qualifications:

Bachelor’s degree in Computer Science, Information Technology or equivalent work experience.

8+ years of experience in data engineering or a related role.

8+ years of data analysis. Preferably in the Healthcare industry of enrollment, medical claims and/or pharmacy claims.

8+ years hands-on work in SQL and/or PL/SQL.

Familiarity designing, implementing, and optimizing data models in NoSQL databases (e.g., MongoDB, Cassandra, neo4j) to support high‑volume, low‑latency workloads.

Working knowledge of big data/cloud technologies (Databricks, AWS, Azure, Hadoop, Spark, Snowflake etc.) is preferred.

Expertise in Microsoft Office Suite applications PowerPoint, Word, Excel and Outlook.

Flexible work schedule.

Experience with project management tools like JIRA.

Strong understanding of agile development practices, preferably SAFe.

Strong analytical skills.

Excellent verbal, listening and written communication skills.