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Remote Data Infrastructure Jobs in Rochester, NY

Innovative Solutions

AI Data Architect

Rochester, NY · Remote

$150K - $200K/yr

This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What You'll ... Terraform or CloudFormation for data infrastructure as code * Step Functions, EventBridge, and ...

Innovative Solutions

AI Data Architect

Rochester, NY · On-site +1

$150K - $200K/yr

This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What You'll ... Terraform or CloudFormation for data infrastructure as code * Step Functions, EventBridge, and ...

IDEX

Data Analyst, Finance

West Henrietta, NY · On-site +1

Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long ... infrastructure to drive bold ideas and pragmatic solutions. With the rich foundation of talent ...

Mindex

Engineering Lead - Remote

Rochester, NY · Remote

$105K - $155K/yr

... data access, cloud technologies, and infrastructure modernization * Partner with Product, UX, QA, ... Benefits * Fully Remote Work Environment * Flexible Time Off * Medical, Dental, and Vision ...

Mindex

Engineering Lead - Remote

Rochester, NY · On-site +1

$105K - $155K/yr

... data access, cloud technologies, and infrastructure modernization * Partner with Product, UX, QA, ... Benefits * Fully Remote Work Environment * Flexible Time Off * Medical, Dental, and Vision ...

Mindex

Engineering Lead - Remote

Rochester, NY · Remote

$105K - $155K/yr

... data access, cloud technologies, and infrastructure modernization * Partner with Product, UX, QA, ... Benefits * Fully Remote Work Environment * Flexible Time Off * Medical, Dental, and Vision ...

Webbing

Sales Engineer - USA

York, NY · On-site +1

... core infrastructure (PGWs, STPs, DEAs, and HLR-/HSS's), roaming (SS7, GRX, IPX), Remote Sim ... Ability to analyze data and technical trends, articulating findings. About Webbing Founded in early ...

Webbing

Head of Sales Americas

York, NY · On-site +1

... data, applications, and decisions must always be secure, reliable, and available. We enable ... Fully remote role. * Medical benefits. #LI-HT1

CaterTrax

Chief Technology Officer

Rochester, NY · On-site +1

The company is hybrid but qualified remote applicants are encouraged to apply. ESSENTIAL DUTIES AND ... AI ARCHITECTURE & DATA STRATEGY * Own the enterprise AI architecture strategy, including the ...

Volaris Group

Chief Technology Officer

Rochester, NY · On-site +1

The company is hybrid but qualified remote applicants are encouraged to apply. ESSENTIAL DUTIES AND ... AI ARCHITECTURE & DATA STRATEGY * Own the enterprise AI architecture strategy, including the ...

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Remote Data Infrastructure information

What is remote data infrastructure?

Remote data infrastructure refers to the systems, tools, and processes that enable organizations to collect, store, manage, and analyze data from remote locations, often via cloud-based platforms. This infrastructure allows teams to access and work with data securely from anywhere, supporting distributed work environments and scalable data solutions. It typically involves cloud storage, data pipelines, databases, and security protocols tailored for remote accessibility. Remote data infrastructure is essential for businesses that operate in multiple locations or have remote teams.

What are the key skills and qualifications needed to thrive as a remote data infrastructure engineer?

To excel as a Remote Data Infrastructure Engineer, you need a strong background in computer science, data architecture, and experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with tools like Terraform, Kubernetes, and data pipeline technologies, as well as relevant certifications (e.g., AWS Certified Solutions Architect), is typically required. Strong problem-solving abilities, clear communication, and self-motivation are essential soft skills for remote collaboration and troubleshooting. These competencies ensure reliable, scalable data systems and effective teamwork across distributed environments.

What are some common challenges faced by professionals working in remote data infrastructure roles?

Professionals in remote data infrastructure roles often encounter challenges such as ensuring seamless communication across distributed teams, maintaining high availability and performance of data systems, and managing security risks associated with remote access. Coordinating with colleagues across different time zones can require flexibility in scheduling and proactive communication. Additionally, remote data infrastructure engineers must stay up-to-date with evolving cloud technologies and best practices to effectively support scalable, reliable, and secure data architectures.

What are popular job titles related to Remote Data Infrastructure jobs in Rochester, NY?

For Remote Data Infrastructure jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Remote Data Infrastructure jobs in Rochester, NY look for?

The top searched job categories for Remote Data Infrastructure jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Remote Data Infrastructure jobs?

Cities near Rochester, NY with the most Remote Data Infrastructure job openings:

Remote Data Infrastructure jobs near you

AI Data Architect

Innovative Solutions

Rochester, NY • Remote

$150K - $200K/yr

Full-time

Re-posted 15 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.

Location: This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter

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 encryptions
 

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

The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training.

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.