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Work From Home Azure Data Engineer Jobs in Fairfield, CT

Dynata

Senior Data Engineer

Westport, CT · On-site +1

$130K - $150K/yr

AWS Glue, Azure Data Factory, GCP Dataflow ▸ Proficiency with version control (Git), CI/CD ... from individuals with disabilities and is dedicated to fostering a work culture that supports ...

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How much do work from home azure data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for work from home azure data engineer in Fairfield, CT is $132,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,700.00 and $140,200.00 per year, depending on experience, location, and employer.

What is a work from home Azure Data Engineer?

A Work From Home Azure Data Engineer is a remote role where professionals design, build, and manage data solutions using Microsoft Azure services. They develop data pipelines, optimize storage solutions, and ensure efficient data processing for business insights. This role requires expertise in Azure data services like Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics. Strong knowledge of ETL processes, data modeling, and cloud security is essential. It allows professionals to collaborate with teams virtually while managing cloud-based data workflows.

What does a typical day look like for a work from home Azure Data Engineer?

A typical day for a Work From Home Azure Data Engineer involves designing, developing, and maintaining data pipelines using Azure services to ensure data is clean, accessible, and ready for analysis. You may attend virtual meetings with data scientists, analysts, and business stakeholders to discuss requirements and progress, and collaborate via team chat platforms. Daily tasks often include writing and optimizing SQL queries, troubleshooting pipeline issues, and working on new data integration projects. The remote setting requires frequent communication and clear documentation, but also offers flexibility in managing your own schedule and workspace.

What are the key skills and qualifications needed to thrive as a work from home Azure Data Engineer?

To thrive as a Work From Home Azure Data Engineer, you need expertise in data engineering, SQL, cloud computing (especially Microsoft Azure), and a relevant degree in computer science or a related field. Familiarity with Azure Data Factory, Azure Synapse Analytics, Databricks, Power BI, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valuable. Strong problem-solving, communication, and time management skills are crucial for remote collaboration and delivering effective solutions. Together, these skills enable you to build robust data pipelines and analytics solutions while efficiently working in a distributed team environment.

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Senior Data Engineer

Dynata

Westport, CT • On-site, Remote

$130K - $150K/yr

Full-time

Posted 19 days ago

Job description

The Senior Data Engineer is responsible for designing, building, and maintaining the data pipelines, transformation layers, and data models that power the enterprise lakehouse. This role is a technical anchor on the data engineering team, delivering robust ELT/ETL solutions and serving as a mentor to junior engineers.
KEY RESPONSIBILITIES
▸ Design and implement scalable batch and streaming data pipelines using Apache Spark, Kafka, and Flink
▸ Build and maintain the Bronze/Silver/Gold medallion architecture within the lakehouse (Delta Lake / Iceberg)
▸ Develop and optimize complex SQL and PySpark transformations for large-scale datasets
▸ Integrate structured, semi-structured, and unstructured data sources into the lakehouse
▸ Collaborate with data architects to evolve the physical and logical data models
▸ Implement data quality checks and monitoring using Great Expectations or dbt tests
▸ Write Infrastructure-as-Code for pipeline environments (Terraform, Helm)
▸ Participate in code reviews and enforce engineering standards and best practices
▸ Troubleshoot pipeline failures, performance bottlenecks, and data incidents
▸ Mentor junior and mid-level data engineers and contribute to internal knowledge sharing
REQUIRED QUALIFICATIONS
▸ 6+ years of data engineering experience with a track record of enterprise-scale delivery
▸ Expert proficiency in Python and SQL; PySpark experience required
▸ Hands-on experience with Apache Spark, Delta Lake, or Apache Iceberg
▸ Experience with orchestration tools: Apache Airflow, Prefect, or Dagster
▸ Strong knowledge of cloud data services: AWS Glue, Azure Data Factory, GCP Dataflow
▸ Proficiency with version control (Git), CI/CD pipelines, and containerization (Docker/Kubernetes)
▸ Experience with dbt (data build tool) for transformation layer management
▸ Bachelor's degree in Computer Science, Engineering, or related technical field
PREFERRED QUALIFICATIONS
▸ Experience with Databricks, Snowflake, or Apache Hudi
▸ Knowledge of streaming architectures and Apache Kafka
▸ Certifications: Databricks Certified Data Engineer, AWS Data Analytics Specialty
At Dynata, we deliver the highest quality first-party data to help businesses around the world gain precise insights, activate the right audiences, and confidently measure impact. With industry-leading respondent accuracy, reliability, and a commitment to continuous improvement, Dynata is the trusted foundation for smarter decision-making.
At Dynata, we are committed to creating an inclusive and accessible environment where every employee and customer feels valued, respected, and supported. We strive to build a workforce that reflects the diversity of the communities we serve. Dynata welcomes and encourages applications from individuals with disabilities and is dedicated to fostering a work culture that supports everyone. Accommodations are available upon request for all aspects of the selection process.
Dynata is an Equal Opportunity Employer. We consider all qualified applicants and employees without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, marital status, age, disability, genetic information, veteran status, or any other legally protected status under applicable laws.
The base salary range for this position in is $130K-$150K/yr; however, base pay offered may vary depending on location, job-related knowledge, skills, and experience. A discretionary incentive program may be provided as part of the compensation package, in addition to a full range of medical and other benefits, dependent on full-time employment status.

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