Top 637 senior cloud infrastructure architect Jobs in remote

Senior Analytics/Data Engineer
Radost Solutions LLC —Remote
- $52 - $65 an hour
- Full-time
- Remote
- 5 years
- System design
- SQL
- Paid holidays
- Health insurance
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Senior Analytics/Data Engineer

Radost Solutions LLC
Remote

Quick Apply

Job Details

Full-time | Contract
$52 - $65 an hour

Benefits

Paid holidays
Health insurance
Dental insurance
401(k)
Paid time off
Vision insurance

Qualifications

Data engineering
Commercial use (data warehousing systems)
Cloud analytics services
Data Integration (Data management)
SQL databases
ETL pipeline development
Implementing cloud migration projects
E-commerce
Data engineer in system development
SQL
ETL process automation
Data analytics
B2B
Database migration or upgrading
Query management
Python
Data analytics technologies
Cross-functional communication

Full Job Description

Senior Analytics/Data Engineer

Client: Leading DTC Home Goods Company

Reports To: Client Director

Employment Type: Contract (with potential for conversion)

Location: Fully Remote (US-based candidates only) West Coast preferred.

Company Overview

Radost Solutions is a growing consulting firm based in Portland, Oregon, specializing in healthcare IT, data, and technology staffing solutions for clients across a range of industries. We place highly skilled consultants in roles where they can drive meaningful impact from day one. Learn more at

About the Client

Our client is a leading direct-to-consumer home goods company operating across both DTC ecommerce and wholesale channels. With a high-transaction, data-intensive business model, they are investing in a modern data stack to power smarter, faster decision-making across the organization. This is a high-visibility engagement with a collaborative team committed to doing data infrastructure the right way.

Position Summary

The Senior Analytics/Data Engineer is a technical leader who spans the full data stack from ingestion to end-state modeling. This role fills engineering gaps during platform migration while architecting scalable solutions across data engineering and analytics engineering domains. The ideal candidate can design data pipelines, build transformation logic, and own technical architecture decisions while mentoring other team members.

Essential Responsibilities

Architect and implement data ingestion pipelines from ecommerce platforms, wholesale partners, and third-party systems
Design and build scalable data models from raw data through analytics-ready datasets
Lead migration work from Redshift to Snowflake, focusing on both infrastructure and modeling
Build ETL/ELT processes using Airflow, dbt, and modern data stack tools
Implement data quality monitoring and alerting systems
Manage cloud data infrastructure optimizing performance and cost
Provide technical guidance and architecture review for Analytics Engineers
Own net-new data engineering projects while supporting migration priorities
Establish deployment automation and infrastructure-as-code practices

Required Expertise

5+ years building production data pipelines and analytics solutions in ecommerce or retail
Strong programming skills in Python and SQL
Experience spanning both data engineering and analytics engineering disciplines
Platform migration experience required (led or significantly contributed to data platform migrations)
Experience with workflow orchestration (Airflow required)
Cloud platform expertise in AWS data services
Hands-on experience with dbt for transformation logic
Background in high-volume transaction processing and ecommerce data patterns

Key Technical Competencies

Advanced SQL and query optimization for analytical workloads
Python for data pipeline development and automation
Data pipeline orchestration using Airflow (event-driven architectures)
Dbt for analytics transformation and modeling
Cloud data services on AWS (Lambda, Glue, S3, etc.)
Snowflake data platform architecture
Data ingestion tools (Fivetran, custom API integrations)
Version control, CI/CD, and infrastructure-as-code practices
Data quality frameworks and monitoring systems

Preferred Qualifications

Experience with wholesale EDI data flows and B2B transaction processing
Real-time/streaming data architecture experience
Container technologies and deployment automation
Technical mentorship and architecture review experience
Prior experience in technical leadership or staff engineer roles
Valid US work permit

Position Type and Benefits

W2 contract position with potential for extension
Comprehensive benefits package including:
Medical, dental, and vision insurance stipend
401(k) retirement plan
Professional development opportunities
Paid time off an holidays

Work Environment

This is a fully remote, US-based contract role. The client is targeting a quick start with a streamlined onboarding process. Strong communication skills and the ability to collaborate asynchronously across a distributed team are essential.

Radost Solutions is an equal opportunity employer. We do not engage in discrimination based on any personal attributes.

Job Types: Full-time, Contract

Pay: $52.00 - $65.00 per hour

Benefits:

401(k)
Health insurance
Paid time off

Application Question(s):

Do you have 5 or more years of experience building production data pipelines and analytics solutions?
Is that experience specifically in ecommerce or retail environments?

Have you worked across both data engineering and analytics engineering disciplines?

Have you led or significantly contributed to a data platform migration?

Do you have experience with high-volume transaction processing and ecommerce data patterns?

Do you have hands-on production experience with Apache Airflow?

Do you have hands-on experience with dbt for transformation logic?

Have you worked with Snowflake as a data platform?

Do you have experience with AWS data services (Lambda, Glue, S3, or similar)?

Have you worked across both data engineering and analytics engineering, not just one or the other?

Work Location: Remote

Quick Apply

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