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Azure Synapse Analytics Jobs (NOW HIRING)

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 ...

SME Azure Data Engineer

Jackson, MS · Remote

$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 ...

Senior Azure Data Engineer

Addison, TX · On-site

$118K - $156K/yr

Production experience with Azure Data Factory, Azure Synapse Analytics, or Databricks * Proven ability to work independently, diagnosing problems, owning outcomes, and documenting what you learn

New

Azure Data Architect

Newark, NJ · On-site

$66.50 - $85.75/hr

Expertise in Azure Synapse Analytics * Strong programming experience with PySpark * Experience designing and implementing Enterprise Data Lakes * Strong knowledge of Data Warehouse concepts and ...

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 ...

Senior Azure Data Engineer

Springfield, IL

$113K - $136K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

Senior Azure Data Engineer

Springfield, IL · On-site +1

$113K - $136K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

Senior Azure Data Architect

Hazlet, NJ · On-site

$65.50 - $85.25/hr

Strong expertise with Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure SQL, Azure Data Lake Storage Gen2. * Solid understanding of modern data architectures: data lakehouse, star ...

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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 Jul 15, 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.

More about Azure Synapse Analytics jobs
What cities are hiring for Azure Synapse Analytics jobs? Cities with the most Azure Synapse Analytics job openings:
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:
Infographic showing various Azure Synapse Analytics job openings in the United States as of July 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $103,000 per year, or $49.5 per hour.
Senior ETL Developer (Azure & MDM/Reltio Focus)

Senior ETL Developer (Azure & MDM/Reltio Focus)

Afl Telecommunications Llc

Duncan, SC • Remote

$50.75 - $63/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 11 days ago


Job description

AFL manufactures industry-leading fiber optic cable, connectivity and accessories and provides engineering and installation services for some of the largest telecom customers in the world. Our company was founded in 1984 with a single fiber optic cable and today, we manufacture thousands of products, generate an excess of $2B in revenue, and employ approximately 11,000 associates worldwide. At AFL, we recognize that our employees are our greatest asset. We hire and train each individual, investing in them to ensure success in their careers. With a commitment to professional development and growth, let us connect you to your next career opportunity. 

What We Offer:

  • Flexible time off policy
  • 401K Company match (up to 4% - dollar for dollar)
  • Professional development, training, and tuition reimbursement programs
  • Excellent medical, dental, vision, and life insurance policy options
  • Opportunities for career advancement with an industry leading company!

We are seeking an experienced Senior ETL Developer to design, build, and optimize scalable data integration solutions across the Microsoft Azure ecosystem. This role will focus heavily on Azure Data Factory (ADF), Azure Synapse Analytics, and Microsoft Fabric, with a critical emphasis on Master Data Management (MDM), particularly Reltio. 

The ideal candidate has strong hands-on experience building enterprise-grade data pipelines, integrating complex data sources, and ensuring high data quality and governance across analytical and operational systems. 

This position will be able to work remotely from anywhere in the United States but the ability to work East Coast hours is strongly preferred.  

Key Responsibilities

Data Integration & ETL Development

  • Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory and Microsoft Fabric Data Pipelines
  • Build scalable data ingestion frameworks for structured and semi-structured data (SQL, APIs, flat files, streaming sources)
  • Develop transformations using Synapse SQL, Spark (Synapse/Fabric), or Dataflows Gen2
  • Optimize pipeline performance, reliability, and cost efficiency

Azure Data Platform Engineering

  • Develop and manage solutions leveraging:
    • Azure Synapse Analytics (dedicated & serverless pools)
    • Microsoft Fabric (Lakehouse, Warehouse, Data Engineering experiences)
    • Azure Data Lake Storage Gen2
  • Implement medallion architecture (Bronze/Silver/Gold layers) where applicable
  • Collaborate with architects to design scalable data platform solutions

Master Data Management (MDM) – Reltio

  • Design and implement MDM integration workflows with Reltio
  • Build and maintain pipelines to ingest, synchronize, and publish master data
  • Work with business and data governance teams on:
    • Data quality rules
    • Matching and survivorship logic
    • Golden record management
  • Integrate Reltio with downstream analytics and operational systems

Data Quality & Governance

  • Implement data validation, cleansing, and lineage tracking
  • Ensure compliance with governance policies and standards
  • Support auditing, monitoring, and alerting for data pipelines

Collaboration & Delivery

  • Work closely with data architects, analysts, and business stakeholders
  • Participate in Agile delivery (Scrum/Kanban)
  • Mentor junior developers
  • Contribute to coding standards and best practices

On-Call Support

  • Participate in a rotating on-call support schedule for production data pipelines and platforms
  • On-call coverage begins as early as 5:30 AM and includes weekend support as needed
  • Each rotation lasts two weeks, approximately four times per year
  • Troubleshoot and resolve production issues, ensuring minimal disruption to business operations
  • Perform root cause analysis and implement long-term fixes for recurring issues 

Required Qualifications

Experience

  • Bachelor’s degree or equivalent experience
  • 5–8+ years of experience in ETL/data engineering

Technical Skills

  • Strong expertise in:
    • Azure Data Factory (ADF) – pipelines, triggers, integration runtimes
    • Azure Synapse Analytics – SQL, Spark, pipeline orchestration
    • Microsoft Fabric (preferred or emerging experience)
  • Solid experience with:
    • SQL (advanced query tuning and development)
    • Python and/or PySpark
    • REST APIs and data integration patterns
  • Hands-on experience with Reltio MDM including:
    • Data model configuration
    • Match & merge rules
    • Data onboarding and outbound integrations

Data Engineering Concepts

  • ETL/ELT design patterns
  • Data warehousing and dimensional modeling (Kimball, Data Vault familiarity a plus)
  • Data lake architectures
  • Performance tuning and scaling 

Preferred Qualifications

  • Experience with:
    • Delta Lake / Lakehouse architecture
    • CI/CD for data pipelines (Azure DevOps, Git integration)
    • Infrastructure as Code (ARM, Bicep, Terraform)
    • Data governance tools (Purview or similar)
  • Certifications (nice to have):
    • Azure Data Engineer Associate
    • Fabric Analytics Engineer (emerging)