Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop, test, and sustain solid ETL pipelines for both structured and unstructured data sources.

• Connect ETL pipelines with machine learning models to enhance data quality.

• Prioritize production stability, optimize performance, and resolve incidents effectively.

• Create processes for data transformation, validation, and quality monitoring.

• Design and execute data warehouse solutions and data models aimed at analytics and reporting.

• Set up data quality frameworks that include monitoring, alerting, and remediation strategies.

• Engage in data architecture decision-making processes.

• Spearhead the implementation of enhancements to the data platform.

⛳️ Requirements

• Must be based in the US and authorized to work in the United States.

• A minimum of 3 years of experience in constructing production data pipelines and utilizing modern data stack tools.

• At least 3 years of experience in implementing and managing data warehouses along with dimensional data models.

• Proficient in SQL with a strong grasp of data modeling best practices.

• Competent in Python for various data engineering functions.

• Familiarity with workflow orchestration and automation tools.

• Experience in applying data quality and governance practices.

• Strong teamwork skills, collaborating with data scientists, analysts, and engineering teams.

• Preferred: Experience with geospatial data.

• Preferred: Experience handling large-scale datasets.

• Preferred: Background in web scraping.

• Preferred: Knowledge of ML and AI-based infrastructure.

• Preferred: Familiarity with JavaScript.

🏝️ Benefits

• Commitment to equal opportunity employment and diversity.

• Verification of employment eligibility upon hiring.