Data Engineer III-6348

Dan.com - a GoDaddy brand; United States; Remote; USD 101,000 - 110,000; Full time

Benefits offered by this job

Remote work within the United States

$48.60 per hour, depending on 경험

Job summary

Dan.com is seeking a data engineer to own dimensional data models, build batch pipelines, and define canonical metrics for leadership reporting. You will maintain daily snapshots, backfills, and automated reporting layers while ensuring data quality and freshness across distributed engines.

You will collaborate with site leads, operators, and engineers to craft dashboards and lightweight interfaces for operational context, and drive data governance and transformation initiatives across the

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, or a related technical field.
• 5+ years of professional data engineering experience.
• Strong Python and SQL skills, including performance optimization on large partitioned tables in distributed query engines such as Presto, Trino, Spark SQL, BigQuery, or Snowflake.
• Experience with dimensional modeling, star schemas, slowly changing dimensions, and incremental or cumulative table patterns.
• Experience with pipeline orchestration, dependency management, retries, and backfills using Airflow, Dagster, or equivalent.
• Demonstrated ownership of production data pipelines, including correctness, freshness, and backfill accountability.
• Experience defining organizational metrics and documenting them for non-technical audiences.
• Experience building or owning dashboards in Tableau, Looker, Power BI, or equivalent.
• Comfort working in shared codebases with code review and continuous integration.
• Strong written communication and stakeholder-partnership skills, including with senior leaders.
• Preferred: experience in physical operations, manufacturing, logistics, fleet, robotics, sensor, time-series, multimodal, or unstructured data environments.
• Preferred: working knowledge of TypeScript and React, large-scale object storage, or data-collection and labeling operations.
• Remote U.S. availability; direct W2 employment required, with no sponsorship available.

Responsibilities

• Design and own dimensional data models for collection volume, operator efficiency, data quality, and equipment uptime.
• Build and maintain batch pipelines, daily snapshots, cumulative tables, and automated reporting layers.
• Define and document canonical metric definitions for dashboards, applications, and leadership reporting.
• Own pipeline correctness, freshness, backfills, restatements, and reconciliation against source data.
• Implement data-quality checks, anomaly detection, and freshness service-level agreements.
• Build dashboards, fleet-status views, operational briefs, and lightweight interfaces for operational context.
• Automate production reporting, equipment tracking, maintenance workflows, and metrics-review processes.
• Partner with site leads, operators, program managers, and engineers to support operating cadences and leadership analysis.
• Participate in itD practice meetings, thought leadership, case studies, networking, and Digital Transformation initiatives.

Skills

Python

SQL

Data modeling

Stakeholder communication

Production data pipelines

Education

Bachelor's degree in Computer Science or related field

Tools

Airflow

Dagster

Presto/Trino/Spark SQL

BigQuery/Snowflake

CI/CD

Tableau/Looker/Power BI

TypeScript/React

Job description

Description:

• Design and own dimensional data models for collection volume, operator efficiency, data quality, and equipment uptime.
• Build and maintain batch pipelines, daily snapshots, cumulative tables, and automated reporting layers.
• Define and document canonical metric definitions for dashboards, applications, and leadership reporting.
• Own pipeline correctness, freshness, backfills, restatements, and reconciliation against source data.
• Implement data-quality checks, anomaly detection, and freshness service-level agreements.
• Build dashboards, fleet-status views, operational briefs, and lightweight interfaces for operational context.
• Automate production reporting, equipment tracking, maintenance workflows, and metrics-review processes.
• Partner with site leads, operators, program managers, and engineers to support operating cadences and leadership analysis.
• Participate in itD practice meetings, thought leadership, case studies, networking, and Digital Transformation initiatives.

Requirements:

• Bachelor’s degree in Computer Science, Data Engineering, or a related technical field.
• 5+ years of professional data engineering experience.
• Strong Python and SQL skills, including performance optimization on large partitioned tables in distributed query engines such as Presto, Trino, Spark SQL, BigQuery, or Snowflake.
• Experience with dimensional modeling, star schemas, slowly changing dimensions, and incremental or cumulative table patterns.
• Experience with pipeline orchestration, dependency management, retries, and backfills using Airflow, Dagster, or equivalent.
• Demonstrated ownership of production data pipelines, including correctness, freshness, and backfill accountability.
• Experience defining organizational metrics and documenting them for non-technical audiences.
• Experience building or owning dashboards in Tableau, Looker, Power BI, or equivalent.
• Comfort working in shared codebases with code review and continuous integration.
• Strong written communication and stakeholder-partnership skills, including with senior leaders.
• Preferred: experience in physical operations, manufacturing, logistics, fleet, robotics, sensor, time-series, multimodal, or unstructured data environments.
• Preferred: working knowledge of TypeScript and React, large-scale object storage, or data-collection and labeling operations.
• Remote U.S. availability; direct W2 employment required, with no sponsorship available.

Benefits:

• Remote work within the United States.
• $48.60 per hour, depending on experience.
• 12-month full-time contract with strong potential for extension or conversion.
• Medical, dental, vision, and life insurance benefits.
• 401(k) plan with company matching.
• Paid holidays.
• Networking, career learning, and professional development programs.