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Azure Synapse Analytics Jobs (NOW HIRING)

$94K - $113K/yr

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:

$134K - $161K/yr

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:

Azure Databricks Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Integrate Azure Databricks with other Azure services such as Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database, as well as third-party tools and data sources. * Optimization:

Azure Databricks Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Integrate Azure Databricks with other Azure services such as Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database, as well as third-party tools and data sources. * Optimization:

NC · On-site

$110K - $132K/yr

The ideal candidate will leverage Microsoft Azure Synapse Analytics and Power BI to create data pipelines and analytics solutions that meet business requirements. Key Responsibilities: * Design ...

... Azure Synapse Analytics/Dedicated SQL Pools • Experience with Performance Analysis, query optimization & troubleshooting • Identify, troubleshoot, and resolve performance issues including ...

Azure Data Technical Lead

$65 - $84.75/hr

Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, Azure Databricks, and Azure SQL Database. • Data Architecture: Strong understanding of data modelling, ETL processes, data warehousing ...

Senior Data Engineer

$108K - $147K/yr

Design, develop, and maintain data pipelines and ETL processes using Azure Data Factory, Azure Synapse Analytics, and other Azure services to integrate and process data from various sources.

Azure Data Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Design and implement data pipelines using Azure Data Factory (ADF) and Azure Synapse Analytics. * Develop and optimize ETL/ELT processes for structured and semi-structured data. * Build and manage ...

Azure Data PM

Bellevue, WA · On-site

$71.75 - $93.50/hr

Oversee the development and optimization of analytics solutions using Azure Synapse Analytics . * Coordinate advanced analytics and data science efforts using Azure Databricks . * Develop detailed ...

Azure Data Engineer

$117K - $140K/yr

Design, build, and maintain Azure-based data pipelines using Synapse Analytics to support MSIS and related education systems. * Develop and optimize ETL/ELT processes to ingest, transform, and ...

New

Azure Data Engineer

Jackson, MS · On-site

$99K - $119K/yr

Design, build, and maintain Azure-based data pipelines using Synapse Analytics to support MSIS and related education systems. * Develop and optimize ETL/ELT processes to ingest, transform, and ...

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Azure Synapse Analytics information

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$61K

$103K

$129K

How much do azure synapse analytics jobs pay per year?

As of Jun 25, 2026, the average yearly pay for azure synapse analytics in the United States is $103,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $122,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Azure Synapse Analytics position, and why are they important?

Success in an Azure Synapse Analytics role requires strong proficiency in data engineering, SQL, data modeling, and analytics, typically supported by a background in computer science or related fields. Familiarity with Azure Synapse Studio, data integration tools, big data platforms, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly beneficial. Excellent problem-solving, communication, and teamwork skills help professionals effectively collaborate with stakeholders and respond to business needs. These skills and qualities enable professionals to design robust data solutions, optimize analytics workflows, and drive meaningful insights for organizations.

What are the typical daily responsibilities of someone working with Azure Synapse Analytics?

Professionals working with Azure Synapse Analytics typically spend their days designing and implementing data pipelines, integrating diverse data sources, and optimizing big data workflows within the Azure ecosystem. They may also work closely with data scientists, business analysts, and application developers to ensure data accuracy and facilitate advanced analytics or machine learning projects. Regular tasks can include troubleshooting performance issues, managing data security, and automating data processes. Collaboration and effective communication with cross-functional teams are key aspects of the work environment, helping to deliver accurate and actionable insights for decision-making.

What is an Azure Synapse Analytics job?

An Azure Synapse Analytics job typically involves designing, implementing, and optimizing data integration, warehousing, and big data solutions using Azure Synapse. Professionals in this role work with data engineers, analysts, and business stakeholders to streamline data pipelines, enhance query performance, and ensure data security. They leverage Synapse SQL, Spark, and data integration tools to manage and analyze large datasets efficiently. Strong knowledge of cloud infrastructure, security best practices, and performance optimization techniques is essential for success in this role.

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What are the most commonly searched types of Azure Synapse Analytics jobs? The most popular types of Azure Synapse Analytics jobs are:
What states have the most Azure Synapse Analytics jobs? States with the most job openings for Azure Synapse Analytics jobs include:
Azure Data Engineer - Remote, Latin America

Azure Data Engineer - Remote, Latin America

Bluelight Consulting

On-site, Remote

$94K - $113K/yr

Full-time

Posted 3 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
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