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Volunteer Sql Remote Jobs (NOW HIRING)

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public ... Design and maintain data pipelines in AWS using S3, RDS/SQL Server, Glue, Lambda, EMR, DynamoDB ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public ... Design and maintain data pipelines in AWS using S3, RDS/SQL Server, Glue, Lambda, EMR, DynamoDB ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public ... Design and maintain data pipelines in AWS using S3, RDS/SQL Server, Glue, Lambda, EMR, DynamoDB ...

Argano

Senior Pigment Consultant (Remote)

Minneapolis, MN · Remote

$95K - $130K/yr

Knowledge of Excel, SQL, programming logic What We Offer * Flexible PTO and 7 Company-paid holidays ... Volunteer opportunities to help support the communities in which we live and work * Continued ...

System One

BI / AI Solutions Consultant

Tulsa, OK · Remote

$150K - $170K/yr

Remote - offsite Hours: 40.0 Security Clearance: Not specified Overview System One has partnered ... Build and maintain SQL-based data pipelines, transformations, reconciliation logic, and curated ...

System One

Data Analyst (Oracle HCM Cloud)

Vienna, VA · Remote

Data Analyst (Oracle HCM Cloud) 100% remote Pay Rate: Open to Both C2C and W2 options Position Type ... Develop and maintain complex SQL and database objects across SQL Server and Oracle environments.

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Volunteer Sql Remote information

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How much do volunteer sql remote jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for volunteer sql remote in the United States is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $20.19 per hour, depending on experience, location, and employer.

What is a volunteer SQL remote?

Volunteer SQL Remote positions are unpaid roles where individuals use their SQL (Structured Query Language) skills to help organizations manage, analyze, or maintain their databases from a remote location. These opportunities are often with nonprofits, charities, or open-source projects that need data support but may not have the budget for paid staff. Volunteers typically work on tasks such as cleaning data, writing queries, creating reports, or helping with database migrations. These roles allow volunteers to gain experience, contribute to meaningful projects, and work flexibly from anywhere with internet access.

What are some common challenges faced by volunteer SQL professionals working remotely, and how can they be addressed?

Volunteer SQL professionals working remotely often encounter challenges such as limited access to organizational databases, communication barriers with team members, and the need to balance volunteer commitments with other responsibilities. To overcome these issues, it's essential to establish clear lines of communication with project leads, ensure secure and reliable remote access to necessary data, and set realistic expectations about availability. Utilizing collaboration tools and maintaining regular check-ins can help foster teamwork and keep projects on track.

What are the key skills and qualifications needed to thrive as a volunteer SQL remote, and why are they important?

To thrive as a Volunteer SQL Remote, you need a solid understanding of database concepts, SQL query writing, and data analysis, often supported by relevant coursework or practical experience. Familiarity with database management systems like MySQL, PostgreSQL, or Microsoft SQL Server, and tools such as SQL Workbench or DBeaver, is typically required. Strong problem-solving abilities, attention to detail, and effective remote communication skills help you excel in collaborating with teams and managing tasks independently. These skills ensure accurate data handling, efficient project contribution, and seamless teamwork in a flexible, remote environment.

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

AspectVolunteer Sql RemoteVolunteer Data Analyst
Required SkillsSQL, basic data managementSQL, data visualization, statistical analysis
Work EnvironmentRemote, flexibleRemote or onsite, flexible
Industry UsageIT, nonprofit, educationNonprofit, research, business
CertificationsNone typically requiredOptional: data analysis certifications

Volunteer Sql Remote focuses on SQL database management and querying, often requiring basic SQL skills. Volunteer Data Analyst involves analyzing data sets, creating reports, and visualizations, sometimes requiring additional analytical skills. Both roles are remote and serve similar industries, but Volunteer Data Analyst generally demands broader analytical expertise.

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What are the most commonly searched types of Volunteer Sql jobs?

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What states have the most Volunteer Sql Remote jobs?

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Volunteer Sql Remote jobs near you
Infographic showing various Volunteer Sql Remote job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $39,804 per year, or $19.1 per hour.

GenAI Data Automation Engineer

System One

Washington, DC • Remote

$48.95/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 12 days ago

Job description

Job Title: GenAI Data Automation Engineer Location: Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public Trust Responsibilities

  • Design and maintain data pipelines in AWS using S3, RDS/SQL Server, Glue, Lambda, EMR, DynamoDB, and Step Functions.
  • Develop ETL/ELT processes to move data between DynamoDB, SQL Server (AWS), and Azure SQL systems.
  • Integrate AWS Connect CRM data into the enterprise data pipeline for analytics and operational reporting.
  • Engineer, enhance ingestion pipelines with Apache Spark, Flume, Kafka for real-time and batch processing into Apache Solr, AWS Open Search platforms.
  • Leverage Generative AI services and Frameworks (AWS Bedrock, Amazon Q, Azure OpenAI, Hugging Face, LangChain) to create automated processes for vector generation and embeddings, automate data quality checks, metadata tagging, and lineage tracking, and enhance ingestion/ETL with LLM-assisted transformation and anomaly detection.
  • Build conversational BI interfaces that allow natural language access to Solr and SQL data.
  • Develop AI-powered copilots for pipeline monitoring and automated troubleshooting.
  • Implement SQL Server stored procedures, indexing, query optimization, profiling, and execution plan tuning to maximize performance.
  • Apply CI/CD best practices using GitHub, Jenkins, or Azure DevOps for data pipelines and GenAI model integration.
  • Ensure security and compliance through IAM, KMS encryption, VPC isolation, RBAC, and firewalls.
  • Support Agile DevOps processes with sprint-based delivery of pipeline and AI-enabled features.
Requirements:
  • BS in Computer Science or related field with 2+ years of data engineering, automation experiences.
  • Hands-on experience with SQL, SSIS, Python, Spark, Bash, PowerShell, AWS/Azure CLIs.
  • Experience with AWS services like S3, RDS/SQL Server, Glue, Lambda, EMR, DynamoDB.
  • Familiarity with Apache Flume, Kafka, Solr for large-scale data ingestion and search.
  • Familiarity with LLM, Gen AI frameworks using AWS Bedrock, Azure OpenAI or open source platforms and tools.
  • Experience with integrating REST API calls in workflows.
  • Familiarity with JIRA, GitHub / Azure DevOps / Jenkins for SDLC and CI/CD automation.
  • Strong troubleshooting and performance optimization skills in SQL, Spark or other data solutions.
  • Experience operationalizing Generative AI (GenAI Ops) pipelines, including model deployment, monitoring, retraining, and lifecycle management for LLMs and AI-enabled data workflows.
  • Good communication and presentation skills.
  • Ability to obtain Federal government Public Trust clearance.
Preferred (plus)
  • Certifications: AWS Data Engineer, AWS AI/ML Specialty, Azure AI Engineer, Databricks Data Engineer.
  • Experience implementing RAG pipelines, embeddings, and vector search with Solr, OpenSearch, FAISS, Pinecone, or Pgvector/SQL server vector types.
  • Experience with GenAI powered coding tools such as Claude Code, OpenAI Codex, VS Code.
  • Experience with multi-cloud data integration (AWS – Azure SQL).
  • Familiarity with Microsoft BizTalk and SSIS for SQL Server ETL workflows.
  • Knowledge of data lineage/governance tools (Purview, Unity Catalog, AWS Glue Catalog).
  • Familiarity with Infrastructure-as-Code (Terraform/CloudFormation, Bicep) for deployments.
  • Experience with compliance frameworks (FedRAMP, PCI-DSS, HIPAA).

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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