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Full Time Remote Azure Data Engineer Jobs (NOW HIRING)

$134K - $161K/yr

Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse ... Remote

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Location: Remote Project Duration: 6-12 months Responsibilities: * Analysis, design ... Strong data warehousing experience with Azure, Databricks, and Snowflake. * Demonstrated strength ...

$94K - $113K/yr

Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse ... Remote apply for this job

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

... Azure Data Factory, Apache Spark, Glue) required. • Proven experience architecting and ... TYPICAL WORKING CONDITIONS • Full time remote/telework OTHER PHYSICAL REQUIREMENTS • Vision • ...

ETL Data Engineer

Springfield, IL · Remote

$113K - $136K/yr

Senior Data Engineer - Azure / Python ETL Modernization Remote (U.S.) with Minimal travel (2-3x per year) Overview We're hiring a Senior Data Engineer to lead enterprise ETL modernization initiatives ...

SR Azure Data Factory with SSIS- Remote

$117K - $140K/yr

They are seeking a skilled Azure Data Engineer with strong experience in Azure Data Factory and SSIS to design, develop, and optimize scalable ETL/ELT data pipelines that support enterprise data ...

Data Engineer (Remote)

$175K - $185K/yr

Strong experience with Databricks and Azure data services, including workspace administration ... Proficiency in data engineering fundamentals such as ETL/ELT pipeline development, data modeling ...

Data Engineer must have Azure Data Factory, MS Fabric, DBT and T-SQL to apply Location: Philadelphia, PA area, Hybrid preferred but will consider REMOTE for the right candidate with willingness to ...

Sr Data Engineer

$117K - $140K/yr

Remote Years of Exp: 15+ years needed As an Sr Data Engineer, you will be a part of an Agile team ... Common data clouds (AWS, Azure, Snowflake) * Data processing (Spark, distributed systems, etc)

Data Engineer

$117K - $140K/yr

Azure Data Engineer Associate preferred * Any other work-related qualifications needed for the role ... Work Location Remote work is preferred, with occasional on-site support in Washington, DC, as ...

Data Engineer

$117K - $140K/yr

Data Engineer Position Type: Full-Time, Remote Working Hours: U.S. client business hours (with ... GCP, or Azure Preferred Experience & Skills • Experience with dbt for data modeling and ...

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Full Time Remote Azure Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do full time remote azure data engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for full time remote azure 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 is the difference between Full Time Remote Azure Data Engineer vs Full Time Remote Data Analyst?

AspectFull Time Remote Azure Data EngineerFull Time Remote Data Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsSQL, Excel, data visualization tools, sometimes certifications
Work EnvironmentCloud platforms, data pipelines, codingData interpretation, reporting, dashboards
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail
Common Search/ComparisonYesYes

Azure Data Engineers focus on building and maintaining data pipelines using Azure cloud services, requiring technical skills and certifications. Data Analysts interpret data, create reports, and visualize insights, often using different tools. While both roles work with data, their responsibilities and skill sets differ significantly, making this comparison useful for job seekers exploring remote opportunities in data roles.

What cities are hiring for Full Time Remote Azure Data Engineer jobs? Cities with the most Full Time Remote Azure Data Engineer job openings:
What are the most commonly searched types of Remote Azure Data Engineer jobs? The most popular types of Remote Azure Data Engineer jobs are:
What states have the most Full Time Remote Azure Data Engineer jobs? States with the most job openings for Full Time Remote Azure Data Engineer jobs include:
Infographic showing various Full Time Remote Azure Data Engineer job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Azure Data Engineer - Remote, Latin America

Azure Data Engineer - Remote, Latin America

Bluelight Consulting

On-site, Remote

$134K - $161K/yr

Full-time

Re-posted 22 days ago


Job description

Bluelight is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a steadfast commitment to delivering exceptional service to our clients, Bluelight excels in its focus on quality and customer satisfaction. Our mission is not only to create cutting-edge applications but also to foster a collaborative and enriching work environment where each team member can grow and thrive. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.
As an ETL Data Engineer, you will play a critical role in our client's expanding data engineering team, designing, developing, and maintaining data integration processes primarily using Python (PySpark) and Azure Synapse Analytics to ensure the accuracy and availability of analytical data. Working closely with data scientists, analysts, and other stakeholders to deliver high-quality data for insights and decision-making, this position is ideal for a passionate software development professional who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued. By joining our client's growing software consultancy, you will have the opportunity to contribute to challenging, market-standing projects within a collaborative community that deeply values hard work, continuous learning, personal growth, and professional development.
Responsibilities
  • ETL Data Engineering: Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics Notebooks, and/or Azure Synapse Analytics Pipelines, to ensure efficient data extractions, transformation, and loading.
  • Data Warehousing: Apply your expertise in data warehousing, understanding star schemas, facts, and dimensions, to design and build effective data storage structures in a Massively Parallel Processing (MPP) SWL Pool.
  • Data Source Expertise: Extract data from various sources, including REST APIs, SWL database tables, and CSV files.
  • Azure Synapse Analytics Expertise: Utilize your deep knowledge of Azure Synapse Analytics to design and optimize data notebooks/pipelines for scalability and performance.
  • Data Fabric Concepts: Contribute to the implementation and understanding of other Data Fabric concepts, such as data lakes, lakehouses, delta lakes, and data cataloging, to enhance data management capabilities.
  • Data Modeling: Collaborate with data architects to create data models and schemas that align with business requirements.
  • Data Quality: Implement data quality checks and validation processes to maintain data accuracy and consistency.
  • Performance Tuning: Identify and resolve performance bottlenecks and optimize ETL data notebooks/pipelines to meet SLAs.
  • Monitoring and Troubleshooting: Monitoring ETL jobs, diagnose issues, and implement solutions to ensure data pipeline reliability.
  • Documentation: Maintain comprehensive documentation of ETL data engineering processes, data flows, and data transformations.
  • Collaboration: Work closely with cross-functional teams to understand data requirements and provide support for data-related initiatives.
  • Security and Compliance: Ensure data security and compliance with data governance and privacy standards.

Qualifications
  • Bachelor's degree in Computer Science, Information Technology, or a related field; or equivalent work experience, with certifications related to data engineering or data science (e.g. Azure Data Engineer) being a plus.
  • Proven experience in ETL data engineering with significant expertise in using Python (PySpark) to perform data extraction, transformation, and loading from REST APIs, SQL database tables, and CSV files.
  • Proficiency in using Azure Synapse Analytics resources including Notebooks, Pipelines, Linked Services, and Azure Key Vault.
  • Demonstrated ability to write complex SQL queries, optimize query performance, and work with both SparkSQL and MS SQL to effectively extract, transform, and load data.
  • Knowledge of data integration best practices and tools.
  • Experience with version control systems, such as Git (Azure DevOps).
  • Strong problem-solving and analytical skills, with a keen attention to detail.
  • Excellent communication skills, both verbal and written, with the ability to work collaboratively in a team environment with shifting priorities.
  • Familiarity with big data technologies, machine learning, and data analysis preferred.
  • Experience with data visualization tools (e.g. Power BI, Tableau) and Agile Methodologies a plus.

Being a consultant in our team is a fun, challenging, and rewarding career choice. Your contributions are highly valued by clients, and the work you do often has a direct and significant impact on their business.
You will have the opportunity to work on a variety of projects for our incredible clients, which will accelerate your career growth. You'll collaborate with modern technologies and work alongside some of the best professionals in the industry!
If you're eager to be part of an exciting, challenging, and rapidly growing consultancy, we encourage you to apply. #LI-Remote