Role overview

Qualifications

7plus years of experience in Data Engineering or related field
Strong experience with Snowflake and modern cloud data warehouse technologies
Hands-on experience with ETL/ELT tools such as Airflow, dbt, Fivetran, integrate.io, or similar
Advanced SQL skills and experience working with large-scale relational databases

Responsibilities

Design, develop, and maintain scalable ETL/ELT data pipelines using modern data engineering tools and cloud technologies
Build and optimize data models and warehouse structures in Snowflake to support analytics and reporting needs
Implement data quality checks, monitoring, logging, and alerting mechanisms across pipelines and workflows
Serve as a primary responder for data platform and pipeline-related incidents

Key facts

Remote from: Anywhere
Fixed term
Senior (5-10 years)
Data Engineer
English

Hard skills

SQL (Programming Language) Data Warehouse Systems Apache Airflow Data Quality Assessment ERP Systems Knowledge Retail Experience Data Architecture DevOps Datastax

Other skills

Communication
Collaboration

About the company

Perfict

Human Resources, Staffing & Recruiting

Perfict Global is an IT consulting services provider, focused on providing innovative and successful business workforce solutions. Providing specialized staffing and recruitment solutions for our clients, we have quickly become the technology specialist staffing and Recruitment Company of choice for many employers across the US. Our talented team of recruitment professionals serve as more than just a supplier to our customers, we act as a trusted business partner and work as an extension of our client's internal teams, offering the following solutions: • Temporary Staffing • Temp-to-permanent Placements • Permanent Recruitment • Specialized Executive Search

Company details

Company typeScaleup

IndustryHuman Resources, Staffing & Recruiting

Company size51 - 200

Links

Website LinkedIn See all jobs

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Job description

Sr. Data Engineer
Location: Remote
Duration: Long Term

Job Description
We are seeking a highly skilled Sr. Data Engineer to join our growing data platform team. The ideal candidate will have strong experience building scalable data pipelines, supporting modern cloud-based data warehouse environments, and driving data reliability initiatives across the organization.
This role requires a proactive engineer who can take ownership of data operations, troubleshoot complex pipeline issues, and continuously improve platform performance, monitoring, and scalability.
Responsibilities
Data Pipeline Development & Maintenance

Design, develop, and maintain scalable ETL/ELT data pipelines using modern data engineering tools and cloud technologies
Build and optimize data models and warehouse structures in Snowflake to support analytics and reporting needs
Develop reliable and maintainable data workflows for ingesting, transforming, and delivering data from multiple source systems
Ensure high performance, scalability, and availability of data pipelines

Platform Reliability & Monitoring

Implement data quality checks, monitoring, logging, and alerting mechanisms across pipelines and workflows
Improve observability and proactively identify risks, bottlenecks, and operational gaps
Enhance system resilience, failure handling, and recovery processes to minimize downtime
Incident Response & Troubleshooting

Serve as a primary responder for data platform and pipeline-related incidents
Perform root cause analysis (RCA) on data discrepancies, failures, and performance issues
Implement durable solutions and preventative measures to reduce recurring operational issues

System & Infrastructure Improvements

Identify opportunities to improve data architecture, orchestration processes, and workflow automation
Contribute to enhancements of the Snowflake-based data platform
Standardize data engineering best practices and optimize operational efficiency

Required Skills & Qualifications

7+ years of experience in Data Engineering or related field
Strong experience with Snowflake and modern cloud data warehouse technologies
Hands-on experience with ETL/ELT tools such as Airflow, dbt, Fivetran, integrate.io, or similar
Advanced SQL skills and experience working with large-scale relational databases
Experience supporting BI/reporting platforms such as Sigma Computing or similar tools
Experience working with ERP system data, preferably NetSuite or similar platforms
Strong understanding of data quality frameworks, monitoring, and alerting systems
Proven ability to troubleshoot complex pipeline issues and perform root cause analysis
Experience with workflow automation and pipeline orchestration

Preferred Qualifications

Experience in retail or operational business environments
Knowledge of scalable data architecture and cloud data platforms
Familiarity with DevOps/DataOps practices
Strong communication and collaboration skills