Senior Analytics/Data Engineer

Talantir; United States; Remote; USD 43,000 - 90,000; Part time

Benefits offered by this job

Medical stipend

401(k)

Professional development

PTO & holidays

Job summary

Radost Solutions is seeking a Senior Analytics/Data Engineer for a leading DTC home goods client. This fully remote role is US-based with West Coast preferred, offering contract engagement with potential conversion.

The ideal candidate will own data pipelines from ingestion to analytics-ready datasets, lead migration from Redshift to Snowflake, and mentor team members across data engineering and analytics engineering disciplines.

Qualifications

• 5+ years building production data pipelines and analytics solutions in ecommerce or retail.
• Strong programming in Python and SQL.
• Experience across data engineering and analytics engineering disciplines.
• Platform migration experience with data platforms (lead or major contribution).
• Experience with Airflow (workflow orchestration).
• Cloud data services on AWS; hands-on with dbt.

Responsibilities

• Architect and implement data ingestion pipelines from ecommerce platforms and partners.
• Design scalable data models from raw data to analytics-ready datasets.
• Lead migration work from Redshift to Snowflake (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 for performance and cost.
• Provide architecture guidance for Analytics Engineers.

Skills

Python

SQL

Airflow

dbt

Snowflake

AWS

ETL/ELT

Data pipelines

Tools

Fivetran

API integrations

Git / CI/CD

Infrastructure as Code

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

Work Location

Remote