Software Engineer - Data Engineering Platform (Python _ SQL _ PostGIS

woodmac; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Wood Mackenzie is seeking a Software Engineer for the core data platform handling valuation and analytics data. You will design, develop, and maintain backend data pipelines and geospatial workflows using Python, PostgreSQL/PostGIS, and Linux. This role focuses on data engineering rather than front-end development.

You will collaborate with product, GIS and data science teams to ensure high-quality data products across energy, renewables and infrastructure datasets.

Qualifications

• Proven Python development experience with robust software tooling.
• Strong PostgreSQL design, queries and performance tuning skills.
• Experience with PostGIS or equivalent geospatial databases.
• Experience building ETL or data-engineering pipelines.
• Experience processing large/complex datasets and ensuring data quality.
• Linux administration, scripting and automation experience.
• Clear communication and collaboration across disciplines.

Responsibilities

• Design, develop, test and maintain Python-based ETL pipelines for large geospatial and energy datasets.
• Build and optimise PostgreSQL/PostGIS schemas, SQL queries and spatial workflows.
• Develop automated processes for data ingestion, validation, transformation and promotion.
• Monitor data quality and investigate data issues affecting accuracy and reliability.
• Maintain Linux-based data-processing environments, jobs and automation tooling.
• Support data engineering across energy infrastructure, land, oil and gas, renewables and carbon datasets.
• Collaborate with product, GIS and data science teams to deliver reliable data products.
• Diagnose pipeline, database and processing issues and implement maintainable solutions.
• Contribute to documentation and engineering best practices.

Skills

Python

PostgreSQL

PostGIS

ETL pipelines

Linux

Data quality

Tools

Elasticsearch

AWS S3

TypeScript

Node.js

REST API

GeoJSON

Shapefile

Job description

Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape.

For over 50 years our work has guided the decisions of the world's most influential energy producers, utilities companies, financial institutions and governments.

Now, with the world's energy system more complex and interconnected than ever before, sector-specific views are no longer enough. That's why we've redefined what's possible with Intelligence Connected.

By fusing our unparalleled proprietary data with the sharpest analytical minds, all supercharged by Synoptic AI, we deliver a clear, interconnected view of the entire value chain. Our trusted team of 2,700 experts across 30 countries breaks siloes and connects industries, markets and regions across the globe.

This empowers our customers to identify risk sooner, spot opportunities faster and recalibrate strategy with confidence - whether planning days, weeks, months or decades ahead.

Wood Mackenzie
Intelligence Connected

WoodMac.com

Wood Mackenzie Brand Video

Wood Mackenzie Values

• Inclusive - we succeed together
• Trusting - we choose to trust each other
• Customer committed - we put customers at the heart of our decisions
• Future Focused - we accelerate change
• Curious - we turn knowledge into action

Company

Wood Mackenzie is a global research, analytics and consultancy business serving the natural resources industry.

We provide data, analytics and insights that help customers make informed decisions across oil, gas and LNG, power and renewables, chemicals, metals and mining.

Our sector teams are located around the world and support customers with intelligence on assets, companies and market indicators. Together, we help customers address complex challenges and support the transition to a more sustainable future.

LandGate, a Wood Mackenzie business, is a fast-growing vertical intelligence platform specialising in energy, infrastructure, and data centre site selection.

Through proprietary datasets and market intelligence, it helps customers identify, evaluate, and develop energy and infrastructure opportunities across the United States.

Role Purpose

The Software Engineer will join the team responsible for the core data platform supporting valuation and analytics products. The platform ingests, processes and maintains large-scale geospatial and energy datasets used across oil and gas, renewables, electrical infrastructure, carbon and land intelligence.

This is a backend data engineering position focused on Python, PostgreSQL/PostGIS and Linux. The role will design, develop and maintain data pipelines, spatial data processes and data-quality controls that provide reliable information to downstream products and users. It is not primarily an application or front-end development role.

Main Responsibilities

• Design, develop, test and maintain Python-based ETL pipelines for large geospatial and energy datasets.
• Build and optimise PostgreSQL/PostGIS schemas, SQL queries and spatial data workflows.
• Develop automated processes for data ingestion, validation, transformation and promotion.
• Monitor data quality and investigate issues affecting the accuracy, completeness or reliability of data products.
• Maintain Linux-based data-processing environments, scheduled jobs and automation tooling.
• Support data engineering across energy infrastructure, land, oil and gas, renewables and carbon datasets.
• Collaborate with product, GIS and data science colleagues to understand requirements and deliver reliable data products.
• Diagnose pipeline, database and processing issues, implementing maintainable solutions.
• Contribute to documentation, engineering practices and the continuous improvement of data-platform processes.

About You

Essential experience and capabilities

• Practical software development experience using Python.
• Advanced working knowledge of PostgreSQL and SQL, including database design and query-performance optimisation.
• Experience using PostGIS or comparable geospatial database technologies.
• Experience building and maintaining ETL or data-engineering pipelines.
• Experience processing large or complex datasets.
• Experience implementing validation and data-quality controls.
• Working knowledge of Linux administration, scripting and automation.
• Effective analytical, diagnostic and problem-solving skills.
• Ability to communicate technical information clearly and work collaboratively across disciplines.

Desirable experience

• Elasticsearch.
• AWS services, particularly Amazon S3.
• TypeScript, Node.js or REST API development.
• GIS formats such as Shapefile and GeoJSON.
• Spatial indexing or geospatial analytics.
• Data modelling, machine learning or statistical analysis.
• Energy, land, mineral rights, oil and gas, renewables, electrical-grid or carbon/CCUS datasets.

We recognise that experience can be gained in different ways. If you meet most of the essential requirements and are inter