data engineer for sustainability reporting

HireHi; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

HireHi is seeking a Senior Data Engineer to join the Sustainability Data & AI team in the United States. You will design and build data pipelines and data products using Databricks, Delta Lake, and PySpark to support sustainability reporting and analytics.

You will own data modelling, quality controls, governance, and CI/CD deployment, collaborating with cross-functional teams to deliver production-grade solutions with scalable, cost-aware architectures.

Qualifications

• 5+ years of experience in data engineering or data platforms.
• Proven production Databricks experience.
• Expert PySpark, SQL, data modelling, and data pipeline design.
• Experience with CI/CD, Git, automated testing and deployment.
• Knowledge of data quality, governance, lineage and auditing.
• Strong troubleshooting and root-cause analysis skills.
• Willingness to take ownership and deliver production-ready solutions.
• Nice to have ESG/sustainability or regulatory reporting experience.

Responsibilities

• Design and develop data pipelines and data products using Databricks, Delta Lake and PySpark.
• Build data models and transformation frameworks for large and complex datasets.
• Develop data quality controls, validation and reconciliation processes.
• Optimize pipelines for performance, scalability and cost.
• Implement CI/CD, automated testing and deployment processes.
• Support data governance, lineage, security and access management.
• Work closely with Sustainability, Business, Product and Reporting teams.
• Troubleshoot issues, perform root-cause analysis and ensure reliable production delivery.
• Develop Databricks-based tools to simplify data access and reporting.

Skills

Databricks

PySpark

SQL

Data modelling

Data pipeline design

CI/CD

Git

Automated testing

Data governance

Root-cause analysis

Tools

Delta Lake

Databricks apps

Dashboards

Job description

Описание:

The Sustainability Data & AI team is building and operating a modern Sustainability Data Foundation based on Databricks. It supports sustainability reporting, regulatory compliance and analytics.

Задачи:

• Design and develop data pipelines and data products using Databricks, Delta Lake and PySpark
• Build data models and transformation frameworks for large and complex datasets
• Develop data quality controls, validation and reconciliation processes
• Optimize pipelines for performance, scalability and cost
• Implement CI/CD, automated testing and deployment processes
• Support data governance, lineage, security and access management
• Work closely with Sustainability, Business, Product and Reporting teams
• Troubleshoot issues, perform root-cause analysis and ensure reliable production delivery
• Develop Databricks-based tools to simplify data access and reporting

Требования:

• 5+ Years of experience in data engineering and data platforms
• Strong production experience with Databricks
• Expert knowledge of PySpark, SQL, data modelling and data pipeline design
• Experience with CI/CD, Git, automated testing and deployment
• Knowledge of data quality, governance, lineage and auditing
• Strong troubleshooting and root-cause analysis skills
• Ability to take ownership and deliver pragmatic, production-ready solutions
• Будет плюсом: Experience with ESG / sustainability or regulatory reporting, knowledge of ERP, procurement, finance or supplier data, experience building Databricks applications, dashboards or user-facing tools

Условия:

• Contract duration: > 12 months
• Business trips to Denmark from time to time
• Duration: 12 months + option for extension
• Start Date: 01/27