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Remote Microsoft Azure Data Engineer Jobs in Riverside, CT

Empassion

Senior Data Engineer (NYC Hybrid)

New York, NY · Remote

$120K - $160K/yr

AWS/Azure equivalents acceptable). * Hands on experience with dbt or similar data modeling tools ... We are a tech-enabled remote healthcare company. We value the impact and significance of all team ...

Soda Data

Sales Engineer (Remote)

New York, NY · Remote

$100K - $130K/yr

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We're hiring a remote Sales Engineer to work alongside our AEs, CRO, and the rest of the GTM team.

Pfizer

Medical Analytics Data Engineer

New York, NY · On-site +1

$124K - $207K/yr

Relevant certification &/or work experience in data engineering * BA/BS degree with 6+ years ... Remote * Eligible for Relocation Package: No #LI-PFE The annual base salary for this position ...

1 point system

GenAI Product Engineering Lead

New York, NY · Remote

$104K - $138K/yr

Architect multi-tenant B2B environments with tenant-aware data partitions using Cosmos DB and Azure ... Data Engineering & Processing * Lead the design and implementation of robust data ingestion ...

Soda Data

Growth Engineer (Remote)

New York, NY · Remote

$120K - $130K/yr

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We're hiring a GTM Engineer to build the machinery that gets that message to the people who need it.

B Lab

Junior Data Engineer (New York, NY)

New York, NY · On-site +1

$62K - $83K/yr

While this is a remote-first opportunity, the candidate filling this role must be a resident of ... You will absorb data engineering work currently split between the Senior Machine Learning Engineer ...

Soda Data

Growth Engineer (Remote)

New York, NY · Remote

$120K - $130K/yr

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We're hiring a GTM Engineer to build the machinery that gets that message to the people who need it.

Soda Data

Growth Engineer (Remote)

New York, NY · On-site +1

$120K - $130K/yr

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We're hiring a GTM Engineer to build the machinery that gets that message to the people who need it.

Horizontal Talent

Database Developer

Montvale, NJ · Remote

$47 - $82/hr

We are seeking a Senior Database Developer to support a cloud-native application on Microsoft Azure ... Improve database performance, reliability, scalability, and data integrity * Work closely with ...

NinjaOne

Senior Data Engineer | Emerging Products

New York, NY · On-site +1

$116K - $157K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... We hire the best data engineers, but experience in our stack can't hurt: our data platform is built ...

NinjaOne

Senior Data Engineer | Emerging Products

New York, NY · On-site +1

$116K - $157K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... We hire the best data engineers, but experience in our stack can't hurt: our data platform is built ...

My Remote Jobz

Data Analyst - Automotive

New York, NY · Remote

$100K - $120K/yr

If so, we have an exciting opportunity for you to join a forward-thinking Manufacturing Engineering team as a Data Engineer. What You'll Do In this role, you'll be at the heart of data-driven ...

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All JobsMicrosoft Azure Data Engineer JobsRemote Microsoft Azure Data Engineer JobsRemote Microsoft Azure Data Engineer Jobs in Riverside, CT

Remote Microsoft Azure Data Engineer information

See Riverside, CT salary details

$47.2K

$137.5K

$188.1K

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

As of Aug 23, 2026, the average yearly pay for remote microsoft azure data engineer in Riverside, CT is $137,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,300.00 and $145,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Microsoft Azure Data Engineer vs Remote Data Analyst?

AspectRemote Microsoft Azure Data EngineerRemote Data Analyst
Required CredentialsAzure certifications, SQL, Python, data engineering skillsSQL, Excel, data visualization tools, sometimes certifications
Work EnvironmentCloud platforms, data pipelines, backend systemsData reporting, visualization, business insights
Employer & Industry UsageTech, finance, healthcare, any industry using cloud data solutionsMarketing, finance, retail, any industry analyzing data for insights

The Remote Microsoft Azure Data Engineer focuses on building and maintaining data pipelines using Azure cloud services, requiring technical skills in cloud platforms and data engineering. In contrast, a Remote Data Analyst primarily interprets data, creates reports, and provides business insights, often using visualization tools. While both roles work with data, their focus, tools, and responsibilities differ significantly.

How much do remote Microsoft Azure Data Engineers make?

Remote Microsoft Azure Data Engineers typically earn between $80,000 and $130,000 annually, depending on experience, certifications, and location. Salaries can vary based on the complexity of data projects and the company's size and industry.

Is there demand for a Remote Microsoft Azure Data Engineer?

There is strong demand for remote Microsoft Azure Data Engineers due to the increasing adoption of cloud data solutions and the need for expertise in Azure services like Data Factory, Synapse, and Databricks. Companies seek professionals with skills in data pipeline development, cloud architecture, and certifications such as Azure Data Engineer Associate, making remote roles widely available in this field.
Remote Microsoft Azure Data Engineer jobs near you

Senior Data Engineer (NYC Hybrid)

Empassion

New York, NY • Remote

$120K - $160K/yr

Full-time

Re-posted 10 days ago

Job description

Empassion is a Management Services Organization (MSO) focused on improving the quality of care and costs on an often neglected “Advanced illness/ end of life” patient population, representing 4 percent of the Medicare population but 25 percent of its costs. The impact is driven deeper by families who are left with minimal options and decreased time with their loved ones. Empassion enables increased access to tech-enabled proactive care while delivering superior outcomes for patients, their communities, the healthcare system, families, and society.
What success looks like
  • Partner with teams across the business and external partners to understand data needs and deliver reliable pipelines and models that solve real problems.
  • Build and maintain scalable ingestion and egress pipelines in Airflow and dbt Cloud, ensuring high quality, automated data flows across cloud environments.
  • Implement unit tests and monitoring to guarantee data integrity and reproducibility.
  • Model and transform and structure healthcare datasets into usable formats that power data science models, and other reporting marts
  • Enhance and scale data models with SQL and dbt, ensuring precision and adaptability for new partnerships.
  • Write Python code for Apache Airflow DAGs, components and utilities that orchestrate and monitor data workflows. Build complex pipelines that enable flexible scheduling, conditional logic, and smooth integration across multiple data sources.
What you will bring
  • 2+ years in data engineering or analytics engineering with proven ability to build pipelines and scalable workflows.
  • Strong SQL skills for querying large, complex datasets.
  • Proficiency in Python for data engineering tasks (transformations, APIs, automation).
  • Experience with cloud data warehouses and storage (GCP preferred: BigQuery, Cloud Storage, Composer; AWS/Azure equivalents acceptable).
  • Hands on experience with dbt or similar data modeling tools.
  • Comfort working in collaborative dev/staging/prod environments, partnering with Product and Tech to safely test, launch, and anticipate the impact of new changes.
  • Curiosity about operational workflows and a drive to partner with non-technical teams, ensuring data and reporting align with how the business actually runs. You're not just a spec-taker, you're part of the solution.
  • A proactive, problem-solving mindset and ability to thrive in fast-paced, iterative environments.
  • Strong communication skills to collaborate with analysts, engineers, and business stakeholders.
 
Nice to have:
  • Knowledge of healthcare data (claims, ADT feeds, eligibility files).
  • Familiarity with Git/GitHub for version control.
  • Early-stage startup experience (seed/Series A), especially mission-driven ones.
  • Experience building semantic layers and data models in Looker (LookML).
The compensation range represents total earnings, including both base salary and target bonus. In addition to competitive base salary and bonus opportunities, we offer equity grants for qualifying roles, comprehensive medical, dental, and vision coverage, and a 401(k) retirement plan to support your long-term financial well-being.
 
Empassions' philosophy is to provide competitive compensation that aligns with our mission, business, and employee needs while remaining financially responsible and applying it fairly, equitably, consistently, and transparently. We are a tech-enabled remote healthcare company. We value the impact and significance of all team functions and roles equally, regardless of where you live. 
We plan to update our approach, data, and practices to ensure that we align with the market at year-end 2025. 
 
This strategy ensures that our employees are paid fairly in the market for their skills, experience, and performance. We use current data to draft compensation numbers and will update the data yearly. Performance is a highly valued and meaningful driver of employee compensation within Empassion's market position. Our performance-enhanced compensation philosophy rewards employees who consistently meet and exceed performance expectations through bonus incentives at all levels.
 
We pay through consistent and compliant practices.
We have team-oriented goals and recognize performance against those goals through compensation.
Everyone is an owner and is expected to add value and contribute; when Empassion wins, we all win.
We are designed to be fair and equitable and conduct a pay equity audit annually to ensure fair and equitable compensation level by level, job family by job family.
Ready to Make a Difference?
 
If you’re driven by data, healthcare, and impact, apply and let’s talk!
 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.