2

Night Shift Data Engineer Remote Jobs in Fort Mill, SC

Data Engineer

Rock Hill, SC · Remote

$117K - $140K/yr

Requirement - Data Engineer Location- USA Remote Contract W2 Assessment test required Assessment required - PL/SQL, Data Analysis, NoSQL (MongoDB, Cassandra, Nejo4J) ** Healthcare experience

Senior Integration Engineer- Remote

Charlotte, NC · Remote

$106K - $143K/yr

This role combines software engineering, cloud architecture, API development, data engineering, and platform reliability. The Senior Integration Engineer will build reliable, scalable, and ...

Lead Technical Engineer

Charlotte, NC · Remote

$66.30 - $78/hr

Lead Technical Engineer Location-Type: Remote (Fully Remote, travel up to 6 times per year to ... remote technical teams. Solid understanding of ServiceNow data architecture and custom workflow ...

Senior Transmission Line Engineer - REMOTE

Charlotte, NC · Remote

$102K - $140K/yr

Title: Senior Transmission Line Engineer Location: Remote US Ready to make a difference? We are ... Prepare and review technical documentation such as specifications, data sheets, RFQs, bid ...

Compensation Range: $75,000 - $90,000 Electrical & Controls Engineer Remote - VA, TX, TN, WV, SD ... HVAC and data center cooling solutions. This is an excellent opportunity for an experienced ...

Compensation Range: $75,000 - $90,000 Electrical & Controls Engineer Remote - VA, TX, TN, WV, SD ... HVAC and data center cooling solutions. This is an excellent opportunity for an experienced ...

next page

Showing results 1-20

Night Shift Data Engineer Remote information

See Fort Mill, SC salary details

$39.1K

$114K

$156K

How much do night shift data engineer remote jobs pay per year?

As of Sep 7, 2026, the average yearly pay for night shift data engineer remote in Fort Mill, SC is $113,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,600.00 and $120,800.00 per year, depending on experience, location, and employer.

What does a night shift data engineer remote do?

A Night Shift Data Engineer (Remote) is responsible for designing, building, and maintaining data pipelines and infrastructure during overnight hours, often to support real-time data processing or to ensure uninterrupted operations across global teams. Working remotely, they monitor data flows, troubleshoot issues, and optimize performance, ensuring data is available and accurate for business needs. They often collaborate with other engineers and analysts in different time zones, making communication skills and flexibility important. Night shift roles may be required to support 24/7 operations or to align with business activities in other regions.

What are the key skills and qualifications needed to thrive as a night shift data engineer remote?

To excel as a Night Shift Data Engineer (Remote), you need a solid background in computer science, experience with data modeling, ETL processes, and proficiency in programming languages like SQL and Python. Familiarity with data warehousing solutions, cloud platforms (such as AWS or Azure), and tools like Apache Spark or Hadoop is typically required, along with relevant certifications. Strong problem-solving abilities, effective written communication, and self-motivation are crucial soft skills for remote, overnight work. These competencies ensure high-quality data management, seamless workflow continuity, and reliable support for business operations during off-peak hours.

What are some common challenges faced by night shift data engineers working remotely, and how can they be managed?

Night shift data engineers working remotely often face challenges such as maintaining effective communication with daytime teams, managing irregular sleep schedules, and staying engaged while working independently. To address these, it's essential to establish clear handoff procedures with colleagues, use collaboration tools effectively, and set consistent routines for work and rest. Regular check-ins with teammates and proactive documentation can also help ensure smooth project continuity and personal well-being.

What is the difference between Night Shift Data Engineer Remote vs Night Shift Data Analyst Remote?

AspectNight Shift Data Engineer RemoteNight Shift Data Analyst Remote
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Analytics, Data Analysis certifications
Work EnvironmentTechnical, infrastructure-focusedBusiness, reporting-focused
Employer & Industry UsageTech, finance, healthcareRetail, marketing, finance
Common Search & ComparisonYesNo

Night Shift Data Engineer Remote roles focus on building and maintaining data pipelines and infrastructure, requiring technical certifications and a background in computer science. Night Shift Data Analyst Remote positions emphasize analyzing data to generate reports, often needing analytics certifications. Both roles operate remotely during night shifts but serve different functions within organizations.

What are popular job titles related to Night Shift Data Engineer Remote jobs in Fort Mill, SC?

For Night Shift Data Engineer Remote jobs in Fort Mill, SC, the most frequently searched job titles are:

What job categories do people searching Night Shift Data Engineer Remote jobs in Fort Mill, SC look for?

The top searched job categories for Night Shift Data Engineer Remote jobs in Fort Mill, SC are:

Data Engineer

1 point system

Rock Hill, SC • Remote

$117K - $140K/yr

Contractor

Re-posted 14 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.