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Remote Data Engineering Jobs in Concord, NC (NOW HIRING)

Lead Data Engineer IRC301013

Charlotte, NC · Remote

$100K - $131K/yr

Description GlobalLogic estimates the starting base salary for the remote Senior Data Engineer position in the USA to be between 120000 to 130000 and reflects base salary only and does not include ...

Lead Data Engineer IRC301013

Charlotte, NC · On-site +1

$120K - $130K/yr

Description GlobalLogic estimates the starting base salary for the remote Senior Data Engineer position in the USA to be between $120000 to $130000 and reflects base salary only and does not include ...

Director of Data Science

Charlotte, NC · On-site +1

$153K - $229K/yr

Partner with Actuarial, Data Engineering, and other modeling organization teams to connect modeling ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

Lead Data Engineer

Charlotte, NC · On-site +1

$111K - $134K/yr

... Engineering experience, or equivalent demonstrated through one or a combination of the following ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Lead Data Engineer

Charlotte, NC · On-site +1

$111K - $134K/yr

... Engineering experience, or equivalent demonstrated through one or a combination of the following ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Integration Engineers (2-3, US/Remote) -- business system connectors, API integrations, workflow design * Senior Data Engineer (India) -- data pipeline architecture, ETL/ELT design, data quality ...

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Remote Data Engineering information

See Concord, NC salary details

$41.4K

$120.8K

$165.3K

How much do remote data engineering jobs pay per year?

As of Aug 3, 2026, the average yearly pay for remote data engineering in Concord, NC is $120,815.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,600.00 and $128,100.00 per year, depending on experience, location, and employer.

Can I work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require skills in cloud platforms, programming, and data pipeline tools, and may involve collaboration through online communication tools.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

What are the key skills and qualifications needed to thrive as a Remote Data Engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives.

How to make $1000 a week remote?

Remote data engineers can earn $1000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Building a strong portfolio, obtaining relevant certifications, and working with multiple clients or on freelance platforms can help increase weekly income. Consistent remote work and advanced expertise are key to reaching this earning level.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical for managing data workflows effectively.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are popular job titles related to Remote Data Engineering jobs in Concord, NC? For Remote Data Engineering jobs in Concord, NC, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Concord, NC look for? The top searched job categories for Remote Data Engineering jobs in Concord, NC are:
What cities near Concord, NC are hiring for Remote Data Engineering jobs? Cities near Concord, NC with the most Remote Data Engineering job openings:
Infographic showing various Remote Data Engineering job openings in Concord, NC as of July 2026, with employment types broken down into 72% Full Time, 7% Part Time, 5% Temporary, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $120,815 per year, or $58.1 per hour.

Lead Data Engineer IRC301013

Hitachi Careers

Charlotte, NC • Remote

$100K - $131K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Hitachi rating

7.5

Company rating: 7.5 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

265th of 487 rated machine equipment manufacturers


Job description

Description
GlobalLogic estimates the starting base salary for the remote Senior Data Engineer position in the USA to be between 120000 to 130000 and reflects base salary only and does not include additional performance-linked variable compensation, benefits etc that may be applicable for the role. This pay range is provided as a good faith estimate and the amount offered may be higher or lower. GlobalLogic takes many factors into consideration in making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.
Requirements
Required Skills
Technical Skills: Databricks, SQL, Data Warehousing, Delta Lake, Azure Data Platform, Power BI, Semantic Modeling, DAX, Data Integration Tools (e.g., Fivetran), Azure DevOps / Jira
Leadership Skills: Agile Delivery Management, Team Leadership, Stakeholder Management, Risk & Issue Management, Resource Planning, Project Coordination
Business & Analytical Skills: Data Reconciliation, Data Quality Management, Root Cause Analysis, KPI Validation, Reporting & Analytics Delivery, User Acceptance Testing (UAT)
Success Measures
Successful delivery of analytics and reporting initiatives.
High-quality and reconciled data across all reporting layers.
Timely resolution of data and reporting issues.
Successful customer demos and business reviews.
Positive stakeholder feedback and user adoption.
Effective management and development of delivery teams.
Job responsibilities
Job Responsibilities
Delivery Leadership & Project Execution
Lead end-to-end delivery of data and analytics initiatives.
Manage project plans, delivery timelines, sprint execution, and work allocation.
Coordinate activities across Data Engineers, Power BI Developers, Data Analysts, and QA resources.
Monitor project risks, dependencies, and issue resolution activities.
Drive successful execution from requirements through deployment and business adoption.
Data Engineering Leadership
Lead development and support of enterprise data pipelines and integrations.
Oversee data ingestion from multiple source systems into Databricks.
Manage development of Bronze, Silver, and Gold layer datasets.
Review Source-to-Target mappings and transformation logic.
Ensure data quality, scalability, and performance of data solutions.
Drive adherence to engineering standards and best practices.
Analytics & Reporting Delivery
Lead development of semantic models and Power BI reporting solutions.
Ensure consistency of business KPIs, measures, and reporting logic.
Support dashboard development, testing, and deployment activities.
Coordinate report enhancements and analytics backlog delivery.
Promote reusable and scalable reporting solutions across business domains.
What we offer
About GlobalLogic
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

What Hitachi employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Hitachi

Sourced by ZipRecruiter

Technology is driving today’s fast paced World and we create New Innovations that transform industries and society for the better. But without the brightest, most creative people people like you our achievements would not be possible. Join us and together let's start powering good to make the world a better place.

Industry

Electrical equipment, appliance, and component manufacturing

Company size

10,000+ Employees

Headquarters location

Chiyoda-ku, TYO, JP