Senior Software Engineer - Python/PySpark/Data Engineer - Energy Transition, Full Remote availa[...]

Maersk; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

An established industry leader in logistics is seeking passionate software engineers to join their Energy Transition technology team. This innovative firm is dedicated to leading the decarbonization of logistics and is looking for candidates with expertise in Python and PySpark. As part of a dynamic team, you will engage in cutting-edge development practices, including pair programming and test-driven design, all while contributing to a greener future. If you are eager to make a tangible impact in the fight against climate change and thrive in a remote work environment, this opportunity is perfect for you.

Qualifications

• Experience with Python and PySpark is essential for this role.
• Knowledge of Extreme Programming practices and Test Driven Design is crucial.

Responsibilities

• Develop and deploy systems to identify and reduce emissions.
• Work collaboratively using Extreme Programming methodologies.

Skills

Python

PySpark

Great Expectations

Data Plane/ Pipe Dream

Extreme Programming

Test Driven Design

Functional Programming

Quantitative Modelling

Energy Trading

Logistics Knowledge

Job description

The world is facing a climate emergency. At Maersk we see it as our obligation – as an industry leader in logistics and with the resources available to us – to do all we can to get to net zero operations as fast as possible and to help our customers decarbonize their global supply chains end to end.

As a key player in an industry responsible for 3.5 billion tons of annual direct emissions, A.P. Moller - Maersk (Maersk) is committed to leading the decarbonization of logistics and taking responsibility to be part of the solution, enabling a green and just transition.

Our Energy Transition technology team is at the heart of this work, using Advanced Technology and Development Techniques to rapidly develop and continuously deploy the systems we need to identify, track and reduce our emissions.

Advanced Technology

This is a greenfield build, and our intent is to build a system that can rapidly make a difference now and that will still be relevant in 2040 and beyond.

We are currently seeking Python and PySpark software engineers to enhance our ability to exploit Maestro 2.0 and in particular the Data Plane/ Pipe Dream.

Advanced Development Techniques

We run a continuous delivery pipeline which is currently deploying to production 20-30 times a day and the ability to work with our advanced development techniques is an essential part of the role.

As a member of our team, you will pair daily with other software engineers using Extreme Programming (XP) methodologies, such as pair programming, test-driven development, and continuous integration and delivery.

Our Team spans multiple geographies with a focus in Portugal, India and Copenhagen. We have developed methodologies to enable effective remote working and, although office facilities are available when needed or if you prefer the office environment, the norm is for people to work from home.

Required Skills and Approach

We are looking for people with the following skills and approach to development:

1. Have experience in the technologies we are using, ideally Python, PySpark, Great Expectations and Data Plane/ Pipe Dream. Knowledge of functional programming in particular Elixir or aligned languages such as Erlang or Ruby is beneficial.
2. Have knowledge of extreme programming practices/ values such as pair programming. A Commitment to Test Driven Design is essential.
3. Have relevant domain knowledge such as logistics, financial services, or energy. We are particularly interested in experience of quantitative modelling, energy trading and oil/ liquids/ green fuel commodities markets.

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

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