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Remote Sql Data Engineer Jobs (NOW HIRING)

Data Engineer

Charlotte, NC · Remote

$106K - $128K/yr

Data Engineer Pay: 50/hr W2 Duration: 4-6 month contract Location: 100% Remote Summary We are ... Advanced skills in Python, SQL, and data engineering tools Responsibilities * Design and implement ...

New

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data ... Proficiency in Snowflake SQL and experience with relational databases (e.g., MySQL, PostgreSQL)

"DATA ENGINEER"

Dallas, TX · Remote

$117K - $140K/yr

Lead Data Engineer & Sr. Data Engineer Location: Remote Duration: CTH/FTE Type: Only W2 Note ... Strong SQL development * Strong ETL using SSIS and PySpark * Databricks * Must have Azure (Azure ...

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data ... Proficiency in Snowflake SQL and experience with relational databases (e.g., MySQL, PostgreSQL)

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

Senior Data Engineer Location: Remote JD: Key Responsibilities • Design and implement ETL ... warehouse, sql) and Azure Data Factory. • Build and maintain a metadata-driven Lakehouse ...

Principal Data Engineer

Plymouth, MI · Remote

$109K - $130K/yr

Principal Data Engineer Company: Birdi Work Type: Remote Employment: Full Time Location: US ... Tableau, Tableau Server, SSIS, SQL Server, PostgreSQL, Python, SSRS, Azure, Cloud, Git, CI/CD ...

DATA ENGINEER

$117K - $140K/yr

Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads complex data engineering ...

Data Engineer

$117K - $140K/yr

Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads complex data engineering ...

Data Engineer

Dallas, TX · On-site +1

$115K - $130K/yr

As a Data Engineer, you will be part of a talented team of engineers responsible for the deployment ... Experience in SQL, data transformations, and troubleshooting across at least one database Platform ...

As a Data Engineer, you will be part of a talented team of engineers responsible for the deployment ... Experience in SQL, data transformations, and troubleshooting across at least one database Platform ...

Azure Data Engineer

$117K - $140K/yr

Austin, TX (Remote OK) Type: C2C/Fulltime Client: Loblolly/State of Texas Position Requirements ... SQL Database, and Synapse Analytics. The agency is implementing a new data pipeline in the Azure ...

REMOTE Pay Rate: $33/hr. Duration: 04 Months These are the skills required: • Expert in Azure ... SQL design • +5 years of experience in Data engineering roles • Prove experience in PBI:

Data Engineer

Wyoming, MI · On-site +1

$103K - $124K/yr

Write and optimize T-SQL scripts, stored procedures, and functions for data transformation and ... Flexible/remote work options.

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

Data Engineer - Hybrid / Remote Opportunity * Hybrid for candidates in Nashville and surrounding ... Databricks Runtime (Apache Spark, Spark SQL, MLflow, Delta Lake) * Delta Lake ACID transactions, Z ...

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Remote Sql Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Jul 7, 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.

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, 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.

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.
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:
Infographic showing various Remote Sql Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Prestige Staffing

Charlotte, NC • Remote

$106K - $128K/yr

Contractor

Posted 5 days ago

New


Job description

Title: Data Engineer
Pay: 50/hr W2
Duration: 4-6 month contract
Location: 100% Remote

Summary
We are seeking a skilled and proactive Data Engineer to join a dynamic team working on building and maintaining robust data pipelines and infrastructure.

Requirements

  • Minimum of 3+ years of experience in data pipeline development and data platform design
  • Strong expertise in ETL/ELT workflows and distributed data processing frameworks
  • Proficiency with cloud platforms such as Azure, AWS, or GCP
  • Advanced skills in Python, SQL, and data engineering tools

Responsibilities

  • Design and implement scalable data pipelines for ingesting customer and operational data from various sources
  • Integrate data from APIs, industrial systems, IoT devices, databases, and third-party platforms
  • Ensure data quality, reliability, and observability through monitoring and maintenance
  • Support analytics, AI, and application teams with trusted data sets
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