Data Engineer

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

📋 Description

• Design, construct, and sustain batch and streaming ELT/ETL data pipelines.

• Enhance pipelines for improved performance, reliability, scalability, and cost-effectiveness.

• Create and execute conceptual, logical, and physical data models, including dimensional, star, and snowflake schemas.

• Develop and manage transformation layers utilizing contemporary tools such as dbt.

• Implement data modeling best practices, including versioning, testing, and documentation.

• Write SQL queries for data exploration, ad-hoc analysis, and troubleshooting tasks.

• Support the creation of reports, dashboards, and self-service analytics tools.

• Convert business inquiries into data requirements and provide actionable insights or datasets.

• Oversee data pipelines and delivery processes to ensure compliance with timeliness, freshness, and accuracy SLAs.

• Detect, diagnose, and resolve data issues impacting downstream users and business operations.

• Manage data availability and quality incidents, participating in on-call rotations as necessary.

• Implement data quality checks, monitoring, and alerting mechanisms.

• Automate operational tasks and enhance data delivery processes.

• Collaborate with analysts, data scientists, engineers, and business stakeholders.

• Document data pipelines, models, lineage, and processes comprehensively.

• Contribute to data governance, security, and best practices for data platforms.

⛳️ Requirements

• Over 5 years of professional experience in data engineering or a related field.

• Strong command of SQL and Python.

• Practical experience in building and maintaining data pipelines.

• Familiarity with cloud data platforms/warehouses such as Snowflake, BigQuery, Redshift, or Databricks.

• Experience with data orchestration tools like Apache Airflow, Dagster, Prefect, or similar technologies.

• In-depth understanding of data modeling techniques and dimensional modeling.

• Experience conducting data analysis and using BI/visualization tools such as Looker, Tableau, or Power BI.

• Demonstrated ability to troubleshoot data issues and maintain operational reliability/SLAs.

• Excellent communication skills and the ability to work with both technical and non-technical stakeholders.

• Experience with dbt for data transformation and modeling.

• Knowledge of data observability and monitoring tools.

• Familiarity with real-time/streaming data technologies like Kafka or Flink.

• Understanding of CI/CD practices for data pipelines.

• Experience in data quality frameworks and governance practices.

• Bachelor’s degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience.

• Ability to work remotely from anywhere in the US.

• Legal authorization to work in the United States.

• Willingness to undergo a background check in accordance with local laws/regulations.

🏝️ Benefits

• Medical, dental, and vision coverage fully covered by the employer for employees.

• Unlimited paid time off (PTO).

• Paid holidays.

• Remote-first work environment.

• Annual learning stipend.

• Access to premier conferences.

• Direct mentorship from seasoned founders.

• Competitive equity compensation package.

• Budget for equipment and software needs.

• High-trust, low-ego workplace emphasizing impact, transparency, and work-life balance.

• Occasional team offsite events.