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Remote Aws Data Engineer Jobs in Rochester, NY (NOW HIRING)

Innovative Solutions

AI Data Architect

Rochester, NY · Remote

$65.25 - $84/hr

At least one AWS Professional-level certification (Solutions Architect Professional or Data Engineer Specialty preferred) * Python for data pipelines (Glue jobs, Lambda, SageMaker scripts) and ...

Innovative Solutions

AI Data Architect

Rochester, NY · On-site +1

$150K - $190K/yr

At least one AWS Professional-level certification (Solutions Architect Professional or Data Engineer Specialty preferred) * Python for data pipelines (Glue jobs, Lambda, SageMaker scripts) and ...

Paychex

Data Solutions Engineer

Rochester, NY · On-site +1

$91.53K - $156.50K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and ... AWS, Google Cloud) and large-scale data processing. * 1 year of experience in machine learning ...

Constellation Brands

Senior Database Engineer

Rochester, NY · On-site +1

$113.50K - $177.60K/yr

Experience in AWS, hands-on work building and operating data pipelines using services such as S3 ... For remote locations or positions open to multiple locations, the pay range may reflect several US ...

Mindex

Cloud Engineer - Remote

Rochester, NY · Remote

$7K - $120K/yr

We specialize in agile software development, cloud and data services, and the creation of ... Work alongside Software Engineering to deploy and configure the AWS resources required for new ...

Mindex

Cloud Engineer - Remote

Rochester, NY · Remote

$7K - $120K/yr

We specialize in agile software development, cloud and data services, and the creation of ... Work alongside Software Engineering to deploy and configure the AWS resources required for new ...

Mindex

Cloud Engineer - Remote

Rochester, NY · On-site +1

$7K - $120K/yr

We specialize in agile software development, cloud and data services, and the creation of ... Work alongside Software Engineering to deploy and configure the AWS resources required for new ...

Deloitte

GCP Engineer

Rochester, NY · On-site +1

... and/or remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a GCP Engineer on the AI & Data team, you will be responsible for... * Build, configure, and ...

Deloitte

Databricks Engineer

Rochester, NY · On-site +1

... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for... * Build, configure, and ...

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All JobsRemote Aws Data Engineer JobsRemote Aws Data Engineer Jobs in Rochester, NY

Remote Aws Data Engineer information

See Rochester, NY salary details

$43.9K

$128K

$175.1K

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

As of May 28, 2026, the average yearly pay for remote aws data engineer in Rochester, NY is $127,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote AWS Data Engineer, and why are they important?

To thrive as a Remote AWS Data Engineer, you need strong expertise in data engineering concepts, programming (such as Python or Scala), and experience with AWS cloud services like S3, Redshift, and Glue, typically supported by a relevant degree or AWS certification. Proficiency with ETL tools, data pipeline frameworks (e.g., Apache Airflow), and AWS-specific technologies is essential. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project delivery. These capabilities ensure scalable, secure, and efficient data solutions in distributed, cloud-based environments.

How does a remote AWS Data Engineer typically collaborate with cross-functional teams?

As a remote AWS Data Engineer, you'll often work closely with data scientists, analysts, and software engineers to design and maintain scalable data pipelines in the cloud. Collaboration usually happens through virtual meetings, cloud-based project management tools, and shared documentation platforms. Clear communication and proactive updates are essential to ensure everyone stays aligned, especially when troubleshooting data issues or implementing new features. Building strong working relationships remotely can be challenging, but most organizations support this with regular check-ins and team collaboration channels.

What is a Remote AWS Data Engineer?

A Remote AWS Data Engineer is a professional who designs, builds, and maintains data pipelines and architectures using Amazon Web Services (AWS) infrastructure, while working remotely. They are responsible for tasks such as data ingestion, transformation, storage, and ensuring data quality and security. AWS Data Engineers often work with services like Amazon S3, Redshift, Glue, Lambda, and EMR to enable scalable and efficient data processing. Their role is crucial in helping organizations manage and analyze large datasets in the cloud. Working remotely allows them to collaborate with teams from different locations using online tools and platforms.

What is the difference between Remote Aws Data Engineer vs Remote Cloud Data Engineer?

AspectRemote Aws Data EngineerRemote Cloud Data Engineer
CertificationsAWS Certified Data Analytics, AWS Certified Data Analytics - SpecialtyCloud certifications (AWS, Azure, GCP), relevant data certifications
Work EnvironmentPrimarily AWS cloud platform, data pipelines, ETL processesMultiple cloud platforms, data integration across services
Industry UsageTech, finance, healthcare using AWS infrastructureVaries across industries using multiple cloud providers
Search & Comparison IntentHigh overlap in skills, AWS-specific toolsBroader cloud skills, multi-platform focus

The Remote Aws Data Engineer specializes in AWS cloud services, focusing on data pipelines and analytics within the AWS ecosystem. In contrast, the Remote Cloud Data Engineer works across multiple cloud platforms, requiring broader cloud skills. Both roles involve data engineering but differ in platform expertise and certifications.

What are the most commonly searched types of Aws Data Engineer jobs in Rochester, NY? The most popular types of Aws Data Engineer jobs in Rochester, NY are:
What are popular job titles related to Remote Aws Data Engineer jobs in Rochester, NY? For Remote Aws Data Engineer jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Remote Aws Data Engineer jobs in Rochester, NY look for? The top searched job categories for Remote Aws Data Engineer jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Remote Aws Data Engineer jobs? Cities near Rochester, NY with the most Remote Aws Data Engineer job openings:
Remote Aws Data Engineer jobs near you
AI Data Architect

AI Data Architect

Innovative Solutions

Rochester, NY • Remote

$65.25 - $84/hr

Full-time

Posted 19 days ago

Job description

As a Data/AI Architect, you'll design and build data-driven cloud architectures on AWS — from S3 data lakes and Glue ETL pipelines to data warehouses and RAG-powered AI systems. You'll own the full data stack across a variety of industries and projects: one engagement you're designing a Redshift data warehouse with medallion architecture processing 31M transactions/month, the next you're building a Bedrock Knowledge Base with OpenSearch vector search. Real ownership, real variety.

What You'll Do

  • Design and build S3 data lakes with multi-zone organization, partitioning strategies, lifecycle policies, and encryption
  • Implement medallion architecture (bronze/silver/gold) for data warehouses on Redshift, Snowflake, or Databricks
  • Build AWS Glue ETL pipelines (Python Shell and Spark) with incremental extraction, Data Catalog management, and optimized Parquet output
  • Design star/snowflake schemas, materialized views, and gold-layer models optimized for BI consumption (QuickSight, PowerBI)
  • Configure data warehouse platforms — Redshift with Zero-ETL from Aurora, Snowflake with Snowpipe, Databricks with Delta Lake and Auto Loader
  • Design RAG systems using Bedrock Knowledge Base with OpenSearch Serverless vector search and Titan Embeddings
  • Architect document AI pipelines using Textract, Comprehend, and Bedrock for entity extraction
  • Design SageMaker ML pipelines for training, Model Registry, and inference
  • Lead data discovery sessions with client stakeholders and present architecture recommendations to technical and business audiences
  • Mentor delivery team members on data architecture patterns and AWS data services
  • Contribute to R&D projects evaluating emerging AWS data and AI capabilities

Required SKills

  • 5+ years professional IT experience, 2+ years professional AWS experience
  • At least one AWS Professional-level certification (Solutions Architect Professional or Data Engineer Specialty preferred)
  • Python for data pipelines (Glue jobs, Lambda, SageMaker scripts) and PySpark for Glue Spark jobs
  • SQL and NoSQL on AWS — Aurora PostgreSQL, RDS PostgreSQL, DocumentDB, DynamoDB — including schema design and query optimization
  • Data modeling — conceptual, logical, and physical models for AWS data platforms; normalized silver-layer schemas, denormalized star/snowflake gold-layer schemas, data dictionaries
  • Dimensional modeling and medallion architecture (bronze/silver/gold) on Redshift, Snowflake, or Databricks, including materialized views and incremental refresh patterns
  • AWS Glue ETL (Python Shell and Spark), Glue Data Catalog, and crawlers
  • S3 data lake architecture with partitioning, lifecycle policies, and encryption

Preferred

  • RAG systems with Bedrock Knowledge Base and OpenSearch Serverless vector search
  • Amazon SageMaker for ML training, Model Registry, and inference
  • AWS HealthLake, FHIR R4 transformation, and HIPAA-compliant data pipelines
  • Document AI with Amazon Textract and Comprehend
  • Amazon Athena, QuickSight, or PowerBI integration
  • Terraform or CloudFormation for data infrastructure as code
  • Step Functions, EventBridge, and Lambda for event-driven pipeline orchestration

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.