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Remote Azure Data Engineer Jobs in Shelton, CT (NOW HIRING)

Senior Data Engineer

Westport, CT · On-site +1

$130K - $150K/yr

The Senior Data Engineer is responsible for designing, building, and maintaining the data pipelines ... AWS Glue, Azure Data Factory, GCP Dataflow ▸ Proficiency with version control (Git), CI/CD ...

37566110 Remote Scientist III 12 Months Sigma Systems is currently looking for a Remote Scientist ... Programming experience with Python and R for bioinformatic data analysis in unix-like systems.

New

Senior Software Engineer, Cloud

Guilford, CT · On-site +1

$143K - $165K/yr

The goal of this role is to design and develop key software systems for remote setup, management ... Building modern cloud services on AWS, GCP, or Azure. * Backend web development, including best ...

Senior Software Engineer, Cloud

Guilford, CT · On-site +1

$143K - $165K/yr

The goal of this role is to design and develop key software systems for remote setup, management ... Building modern cloud services on AWS, GCP, or Azure. * Backend web development, including best ...

Data Analyst

Milford, CT · Remote

$22 - $28/hr

Remote (U.S. Based Preferred) Job Type: Part-Time (Flexible Hours) Pay: $22-$28 per hour (based on experience) Company: LT Apparel Group About the Role LT Apparel Group is hiring a remote Data ...

New

ORM-based data access patterns * Strong understanding of object-oriented, component-oriented, and ... Microsoft Azure * Google Cloud Platform (GCP) Our Technology Stack Frontend * GWT * SmartGWT ...

Senior Project Engineer

Wilton, CT · Remote

$101K - $132K/yr

The work model for the role is: remote #LI-remote This role is contributing to the Electrification ... More about us ABB Smart Power provides energy distribution solutions for data centers, industrial ...

Sr FPGA Engineer II

Danbury, CT · On-site +1

$140K - $180K/yr

Remote (For those in Eastern or Central time zones) Owl Cyber Defense is a leader and trusted ... Owl's product lines of cross domain, data diode, and portable media solutions provide the strongest ...

Remote - Pennsylvania, United States of America Job ID: R0095755 Date Posted: 2026-02-05 Company ... Candidate data is processed in accordance with applicable data protection and employment laws as ...

Principal FPGA Engineer

Danbury, CT · On-site +1

$160K - $210K/yr

Remote (for those in Eastern or Central time zones) Owl Cyber Defense is a leader and trusted ... Owl's product lines of cross domain, data diode, and portable media solutions provide the strongest ...

VP/Director of Engineering (Remote)

Ridgefield, CT · On-site +1

$179K - $231K/yr

... data stores, implementations, tech stack selections, and build versus buy decisions. You will have ... You have the ambition and confidence to fully engineer, maintain, and scale special technology ...

Senior Project Engineer

Norwalk, CT · Remote

$101K - $132K/yr

The work model for this role is: Remote {#LI-Remote} This role is contributing to the ... Leading and supporting commissioning of data centers, paralleling switchgear (PSG), and power ...

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Remote Azure Data Engineer information

See Shelton, CT salary details

$44.6K

$130.1K

$178K

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

As of Aug 28, 2026, the average yearly pay for remote azure data engineer in Shelton, CT is $130,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,800.00 and $137,900.00 per year, depending on experience, location, and employer.

What is a remote Azure Data Engineer?

A Remote Azure Data Engineer is responsible for designing, implementing, and managing data solutions using Microsoft Azure cloud services while working from a remote location. They work with tools like Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics to process, store, and analyze data. Their role includes data pipeline development, performance optimization, and ensuring data security. Collaboration with data scientists, analysts, and business teams is common to support data-driven decision-making.

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

To thrive as a Remote Azure Data Engineer, you need expertise in designing, implementing, and managing data solutions using Microsoft Azure, along with proficiency in SQL, data warehousing, and ETL processes. Familiarity with tools like Azure Data Factory, Azure SQL Database, Databricks, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving skills, effective communication, and the ability to work autonomously make candidates stand out in this remote role. These skills ensure that data pipelines are robust, secure, and scalable, enabling organizations to make data-driven decisions efficiently.

What are some common challenges a remote Azure Data Engineer might face, and how are they typically addressed?

A common challenge for Remote Azure Data Engineers is ensuring secure, reliable data transfer and integration across distributed systems while collaborating with teams that may be in different time zones. This is typically addressed by implementing best practices for cloud security, employing automated monitoring, and leveraging project management tools to stay aligned with cross-functional teams. Clear, proactive communication is essential in a remote environment, as is documentation to keep everyone updated on project progress. Many organizations also offer regular virtual check-ins and access to knowledge-sharing platforms to foster collaboration. By staying organized and proactive, remote Azure Data Engineers can successfully deliver scalable data solutions in a distributed work setup.

What job categories do people searching Remote Azure Data Engineer jobs in Shelton, CT look for?

The top searched job categories for Remote Azure Data Engineer jobs in Shelton, CT are:

What cities near Shelton, CT are hiring for Remote Azure Data Engineer jobs?

Cities near Shelton, CT with the most Remote Azure Data Engineer job openings:

Senior Data Engineer

Westport, CT • On-site, Remote

Dynata
Marketing Research • 5 - 10K employees

$130K - $150K/yr

Full-time

Posted 10 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.