Staff Data Engineer

twentysix; Washington; On-site; GBP 55,000 - 80,000; Full time

Job summary

twentysix in Washington, England, is looking for candidates to tackle unique data challenges and design robust data processing pipelines. With a focus on innovation, you'll be responsible for transforming varied datasets and collaborating with cross-functional teams to meet data infrastructure needs.

The ideal candidate will have at least 5 years of software engineering experience, extensive knowledge of data pipelines, and a passion for creating inclusive workspaces. Join us to make a progressive impact!

Qualifications

• 5 years of professional software engineering experience.
• Eagerness to mentor and technically guide engineering teams.
• Experience building distributed data pipelines using Apache Spark.
• Intellectual curiosity to innovate on data management issues.

Responsibilities

• Transform and normalize varied partner datasets.
• Design batch-processing pipelines for massive datasets.
• Develop processes for data mining and modeling.
• Collaborate with teams to support data infrastructure needs.

Skills

Software engineering

Data pipeline construction

Mentoring

Data management innovation

Apache Spark

AWS

Machine learning

Tools

Terraform

Docker

Job description

Successful candidates will be responsible for:

• Solving our unique data‑lake challenges: transforming and seamlessly normalizing highly varied partner datasets (such as donation data);

• Design robust batch‑processing pipelines capable of extracting and loading massive datasets from a variety of internal, external, and public sources;

• Developing processes for data mining, data modeling, and data production;

• Leveraging modern technology knowledge to champion evolving industry trends, updated design patterns, and engineering excellence across the team;

• Autonomously scope, design, and execute complex data projects from day one, turning ambiguous requirements into clear, decisive technical plans;

• Developing robust testing and monitoring systems for scheduled processes;

• Collaborating with cross‑functional teams to support their data infrastructure needs; and

• Joining each and every one of your colleagues in creating an inclusive workspace.

Must‑have Qualifications:

• 5 years of professional software engineering experience;

• Eagerness to mentor and technically guide engineering teams;

• Experience guiding technical decision making;

• Extensive, hands‑on experience building distributed data pipelines using Apache Spark;

• Knowledge of how to build and optimize data pipelines, architectures and data sets with the ability to drive additional learning for knowledge gaps;

• Experience managing data warehouses and/or data lakes;

• Intellectual curiosity to innovate on ways to solve data management issues; and

• Passion, energy, and excitement for progressive and philanthropic causes.

Nice‑to‑have Qualifications:

• Experience training or using machine learning models;

• Experience in key DevOps/Infrastructure technologies such as AWS, GitHub Actions, Terraform, and Docker;

• An eagerness to lead and take ownership of complex projects;

• Experience mentoring or managing engineers; and

• Experience working with cross‑functional teams in a dynamic environment.