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Remote Sql Data Engineer Jobs in Ladson, SC (NOW HIRING)

Develop custom business applications and user-friendly interfaces with Power Apps to improve data ... Basic database knowledge (SQL or NoSQL) for managing and querying datasets used in automations. * A ...

Develop custom business applications and user-friendly interfaces with Power Apps to improve data ... Basic database knowledge (SQL or NoSQL) for managing and querying datasets used in automations. * A ...

Data Science Tutor

Charleston, SC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Design and implement bench-scale and pilot-scale treatability studies, including data management ... S.-based remote position will be based upon a variety of factors such as geographic location ...

Showing results 21-40

Remote Sql Data Engineer information

See Ladson, SC salary details

$41.8K

$121.9K

$166.8K

How much do remote sql data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote sql data engineer in Ladson, SC is $121,909.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,600.00 and $129,200.00 per year, depending on experience, location, and employer.

How does a remote SQL data engineer typically collaborate with cross-functional teams to ensure data integrity and project success?

As a Remote SQL Data Engineer, you will frequently work with data analysts, software developers, and business stakeholders to understand data requirements, design robust database solutions, and troubleshoot data issues. Collaboration often occurs through virtual meetings, project management tools, and shared documentation platforms. Clear communication and proactive updates are essential, as you'll need to ensure that data pipelines are reliable and align with the needs of both technical and non-technical team members. Regular code reviews and knowledge-sharing sessions help maintain data integrity and foster a cohesive remote team environment.

What is the difference between Remote Sql Data Engineer vs Remote Data Analyst?

AspectRemote Sql Data EngineerRemote Data Analyst
Required SkillsSQL, ETL, data modeling, database managementSQL, data visualization, reporting, statistical analysis
CertificationsSQL certifications, data engineering coursesData analysis certifications, Tableau, Excel
Work EnvironmentData pipelines, database systems, cloud platformsData interpretation, dashboards, business insights
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, consulting

Remote Sql Data Engineers focus on building and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require SQL skills and often overlap in data handling, but differ in their core responsibilities and tools used.

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

To thrive as a Remote SQL Data Engineer, you need strong proficiency in SQL, data modeling, and ETL processes, often supported by a degree in computer science or a related field. Experience with database management systems like Microsoft SQL Server, PostgreSQL, or MySQL, as well as tools such as SSIS or cloud platforms like AWS and Azure, is typically required. Excellent problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating remotely and conveying technical information. These abilities are important to ensure accurate data management, seamless data integration, and reliable performance in a distributed work environment.

What does a remote SQL data engineer do?

A Remote SQL Data Engineer designs, develops, and maintains databases and data pipelines using SQL technologies, all while working from a remote location. They are responsible for ensuring data is collected, stored, and retrieved efficiently and securely. Their work often involves writing complex SQL queries, optimizing database performance, and collaborating with other teams to support data-driven decision-making. They may also manage ETL (Extract, Transform, Load) processes and help integrate data from multiple sources to support analytics and business intelligence.
What are popular job titles related to Remote Sql Data Engineer jobs in Ladson, SC? For Remote Sql Data Engineer jobs in Ladson, SC, the most frequently searched job titles are:
What cities near Ladson, SC are hiring for Remote Sql Data Engineer jobs? Cities near Ladson, SC with the most Remote Sql Data Engineer job openings:

Azure Data & AI Architect - Remote US

eGroup Enabling Technologies

Charleston, SC • Remote

$65 - $84.75/hr

Full-time

Re-posted 11 days ago


Job description

eGroup is a remote‑first technology consulting organization and Microsoft partner, focused on delivering thoughtful, reliable solutions while building lasting relationships—with our clients and with one another. We are a nine‑time Microsoft Partner of the Year award winner, reflecting our deep technical expertise and commitment to excellence. Our people are at the center of our success, and we believe great work happens when employees feel trusted, supported, and respected. We are committed to integrity, collaboration, accountability, and creating an inclusive workplace where individuals can do meaningful work and continue to grow.

eGroup is hiring a Azure Data & AI Architect to design and personally deliver modern data and AI solutions in the Microsoft ecosystem (Azure AI services, Microsoft Fabric, and Azure data platforms).

This is a hands‑on consulting role — approximately 80% delivery / build work, with the remainder focused on continuous learning and occasional pre‑sales support.

You’ll work directly with clients to understand their goals, translate ambiguity into a clear technical plan, and deliver solutions that are secure, scalable, and explainable to both technical and non‑technical stakeholders.

  • This role is not research‑only, prompt‑only, or slideware‑focused. You will be expected to ship real solutions.
  • This role is client‑facing. Clear, timely communication and follow‑through are part of the job.
  • We review applications for specificity and real project ownership. If your application is generic, overly polished, or doesn’t show what you built, it will not move forward.

Application requirement: Please answer the three short questions within this posting. Applications without these answers will not be reviewed.

Key Responsibilities

Lead End‑to‑End Solution Delivery

  • Own delivery end‑to‑end: requirements → architecture → design → build → test → deployment
  • Serve as the technical lead: set engineering standards, unblock delivery, and ensure quality across testing and release

Architect AI Solutions

  • Design and implement AI solutions using Azure AI services (e.g., Azure OpenAI, Cognitive Services, Azure Machine Learning) and, where appropriate, Copilot / Copilot Studio
  • Emphasize security, governance, and real‑world usability over experimentation for its own sake

Develop Modern Data Platforms

  • Build data platforms using Azure data services (ADF, Databricks, Synapse, ADLS) and/or Microsoft Fabric
  • Deliver production‑grade pipelines (ETL/ELT), storage and compute patterns, and data models supporting BI and AI workloads

Leverage Automation & Power Platform (Bonus Skill)

  • Use Power Platform (Power Apps, Power Automate, Power BI) when it’s the right tool for rapid business value
  • Power Platform experience is a plus, not the primary focus

Collaborate Across Teams

  • Partner with engineers and business stakeholders to translate requirements into buildable designs
  • Coordinate with security and governance teams to ensure solutions meet best practices and client constraints

Client Engagement & Communication

  • Communicate architecture decisions — including tradeoffs — in plain language
  • Act as a trusted advisor: align scope to outcomes, manage expectations, and keep clients informed when things change

Innovation & IP Development

  • Create reusable internal assets (reference architectures, accelerators, playbooks) that improve delivery quality

Continuous Learning

  • Stay current on Azure AI and data platform changes and apply learning pragmatically to client solutions

Pre‑Sales Support (As Needed)

  • Support early discovery, solution envisioning, and contribution to technical proposals, estimates, and SOWs

Required Qualifications

Experience

  • 10+ years delivering technology solutions, including 5+ years leading data engineering, analytics, or AI work on Azure
  • Clear evidence of personal ownership — you can explain what you built, why you chose it, and what you’d change next time

Azure & Data Expertise

  • Hands‑on experience with Azure AI services and Azure data platforms and/or Microsoft Fabric

Architecture Judgment

  • Ability to design scalable patterns (lakes, warehouses, modeling) and integrate AI responsibly into workflows
  • Practical operational mindset (CI/CD and MLOps experience is a plus)

Problem‑Solving & Adaptability

  • Comfortable working in ambiguity, making tradeoffs explicit, and keeping delivery moving without hand‑holding

Communication & Leadership

  • Strong client‑facing communicator who can explain complex decisions clearly and lead technical direction confidently


Education

  • Bachelor’s degree in Computer Science, Engineering, or equivalent professional experience


Preferred Qualifications

  • Consulting or professional services background
  • Power Platform and Power BI experience
  • Microsoft Fabric and data governance familiarity
  • Azure DevOps, CI/CD, and infrastructure‑as‑code experience
  • Relevant Microsoft certifications
  • Python used in real production systems
  • Experience writing and maintaining code for data processing, automation, or model deployment

If you want to do real client delivery at the intersection of data, AI, and Microsoft, and you enjoy owning outcomes from early discovery through go‑live, we’d love to meet you.