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Remote Sql Data Engineer Jobs (NOW HIRING)

YO IT Consulting

Data Engineer - AI Model Training - Remote

$117.20K - $140.70K/yr

YO IT Consulting is seeking a senior Data Engineer who is passionate about building reliable data ... SQL, Python, ETL/ELT design, orchestration, warehousing, data modeling, and pipeline reliability ...

NAVA Software Solutions

Data Engineer - Remote

Jersey City, NJ · On-site +1

$125.40K - $150.50K/yr

Data Engineer Duration: 6 -12 months Location: Remote project Skill Sets & Experiences ... Strong experience using SQL * Strong experience using SPARQL within AWS Neptune/Anzo experience As ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126.10K - $151.40K/yr

Remote Seeking a highly skilled and motivated Data Engineer to join a dynamic team. As a key ... SQL * Databricks, Collibra, and/or Alteryx. * Familiarity with cloud-based data platforms ...

Jobgether

$88.40K - $106.10K/yr

... SQL) in Netherlands ... This is an excellent opportunity for a skilled Data Engineer to join an international, fully remote ...

New

Digital Criterion

Data Engineer

Manhattan, NY · On-site +1

$126.20K - $151.60K/yr

... SQL, Data Integration Analytics, Data Engineering Background Requirements: Must possess or be ... Remote, US Working at DMI DMI is a diverse, prosperous, and rewarding place to work. Our culture is ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126.10K - $151.40K/yr

Data Engineer Location: Remote Project Duration: 6-12 months Responsibilities: * Analysis, design ... Demonstrated strength with querying Snowflake and other DBs with T-SQL for database queries ...

Intellisoft Technologies

Data Engineer

Waltham, MA · Remote

$58/hr

Yes 100% remote! EST hours Required Skills • Skilled in object-oriented programming (Python in ... SQL • Strong Experience in Databricks • Experience developing integrations across multiple ...

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All JobsRemote Sql Data Engineer Jobs

Remote Sql Data Engineer information

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$44.5K

$129.7K

$177.5K

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

As of May 28, 2026, the average yearly pay for remote sql data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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

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.

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 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 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.

More about Remote Sql Data Engineer jobs
What cities are hiring for Remote Sql Data Engineer jobs? Cities with the most Remote Sql Data Engineer job openings:
What are the most commonly searched types of Sql Data Engineer jobs? The most popular types of Sql Data Engineer jobs are:
What states have the most Remote Sql Data Engineer jobs? States with the most job openings for Remote Sql Data Engineer jobs include:
What job categories do people searching Remote Sql Data Engineer jobs look for? The top searched job categories for Remote Sql Data Engineer jobs are:
Remote Sql Data Engineer jobs near you
Infographic showing various Remote Sql Data Engineer job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 44% Physical, 1% Hybrid, and 55% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer - AI Model Training - Remote

YO IT Consulting

Remote

$117.20K - $140.70K/yr

Full-time

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

Job description

Job Summary:
YO IT Consulting is seeking a senior Data Engineer who is passionate about building reliable data foundations to enhance AI systems. The role involves designing and maintaining data pipelines, evaluating AI-generated data engineering prompts, and ensuring technical accuracy and clarity in AI communication.
Responsibilities:
• Evaluate AI-generated answers to data engineering prompts for technical accuracy, completeness, clarity, and real-world feasibility.
• Challenge advanced language models with complex Data Engineer scenarios involving SQL, Python, ETL/ELT design, orchestration, warehousing, data modeling, and pipeline reliability.
• Review and refine AI-generated prompts, responses, rubrics, and reference answers to ensure they reflect senior-level data engineering judgment.
• Provide structured feedback that identifies incorrect assumptions, missing constraints, weak reasoning, inefficient implementations, or unsafe recommendations.
• Shape AI communication standards by helping models explain data architecture, debugging steps, tradeoffs, and implementation patterns clearly and responsibly.
• Support benchmarking efforts by evaluating model performance across realistic data engineering workflows, edge cases, and failure modes.
• Develop and review high-quality examples that demonstrate strong reasoning around pipeline design, data quality checks, data contracts, schema evolution, and system scalability.
Qualifications:
Required:
• 4+ years of professional experience in data engineering, with significant hands-on work designing, building, and maintaining production-grade data pipelines.
• Deep knowledge of SQL, data modeling, ETL/ELT architecture, orchestration frameworks, warehouse/lakehouse patterns, and modern data stack tools such as dbt, Airflow, Snowflake, BigQuery, Databricks, Fivetran, or similar platforms.
• Strong understanding of distributed data systems, batch and streaming workflows, schema design, data validation, data observability, lineage, and pipeline reliability.
• Proven experience optimizing complex SQL queries, troubleshooting data quality issues, designing scalable transformations, and supporting analytics or machine learning-ready datasets.
• Demonstrated experience in translating ambiguous business or technical requirements into reliable data models, pipeline designs, and implementation plans.
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Statistics, Engineering, or a related technical field; equivalent professional experience will also be considered.
Preferred:
• Previous experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus.
Company:
Our Core mission is to develop, deploy, or integrate artificial intelligence (AI) — including machine learning (ML), data analytics, automation, natural language processing (NLP), computer vision, and related technologies — to solve real-world problems, improve decision-making, automate repetitive tasks, and deliver intelligent solutions across industries. Founded in 2018, the company is headquartered in Abu Dhabi, Abu Dhabi Emirate, AE, , with a team of 51-200 employees. The company is currently Growth Stage.

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