Remote Data Engineer for AI-Driven Analytics and Pipelines

Wider Circle; United States; Remote; USD 130,000 - 160,000; Full time

Benefits offered by this job

Bonuses

Health insurance

401(k) Plan

Paid Time Off

Employee Assistance Program

Health Savings Account

Dependent Care FSA

Training and Development

Job summary

Wider Circle is seeking a hands-on Data Engineer to build and maintain scalable data pipelines, modernize legacy workflows, and support analytics and AI use cases. You will primarily work within AWS, focusing on Redshift, Python-based pipelines, and API integrations.

You will join a fully remote Data Science, Engineering & Analytics team that partners with analytics and data science to ensure data is trustworthy, well‑modeled, and actionable for business decisions.

Qualifications

• 3–6 years of experience in data engineering or analytics engineering.
• Strong Python skills (dataframes, file I/O, APIs)
• Strong SQL skills, including warehouse-specific optimization
• Hands-on experience with AWS (S3, IAM, Redshift)
• Experience using APIs for data ingestion and system integration
• Experience with Git and collaborative development workflows
• Comfortable working with imperfect data and legacy systems

Responsibilities

• Build and maintain scalable ETL/ELT pipelines using Python (pandas) and SQL
• Ingest data from Amazon S3, APIs, Salesforce, and internal systems
• Write performant SQL in Amazon Redshift (DDL, DML, stored procedures)
• Manage schemas, views, permissions, and table evolution safely
• Debug production data issues and performance bottlenecks
• Ensure data quality, freshness, lineage, and observability
• Document pipelines and datasets clearly
• Ensure appropriate data safeguards for sensitive and regulated data, including PHI and PII

Skills

Python (pandas)

SQL

AWS (S3/Redshift)

APIs

Git

ETL/ELT pipelines

Tools

Salesforce API

Matillion

Mulesoft

Airflow

Job description

Wider Circle is seeking a hands-on Data Engineer to build and maintain scalable data pipelines, modernize legacy workflows, and support analytics and AI use cases. You will primarily work within AWS, focusing on Redshift, Python-based pipelines, and API integrations.

You will join a fully remote Data Science, Engineering & Analytics team that partners with analytics and data science to ensure data is trustworthy, well‑modeled, and actionable for business decisions.