Staff Data Engineer

Das ist der Job

We are an equal‑opportunity employer and take seriously our commitment to equality and equity.

Darum lohnt es sich

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

Benefits 100% employer‑paid premiums for platinum‑level medical plan on a national health care network; 100% employer‑paid life insurance and short‑term disability; 50% employer‑paid vision and dental insurance; 401(k) with 3% employer contribution; 20 vacation days in addition to 12 paid holidays, sick days, bereavement leave, and a volunteer day off; Paid parental leave at 100% of your salary; Financial support for reproductive and transgender care; Flexible telecommute and remote work policies; Company‑issued Mac products for home offices; Cell phone service reimbursement, meal and ride‑share reimbursement, and other perks available; Supporting your team on some nights and weekends as we approach high‑volume times such as elections may be required. #J-18808-Ljbffr Our efforts to be inclusive and create opportunity don’t end when someone joins us—they begin, reinforcing a diverse, supportive workplace for all.

Overview We are looking for a Staff Data Engineer to transform millions of data points into unparalleled opportunities—supporting everything from electing Democrats to combating climate change throughout the world. With us, you’ll put your skills to use for disruptive innovation that powers social good.

Salary Expected hiring range for this role is $130,000 - $150,000 per year, depending on experience. Location We are currently working remotely with no return to office date. Applicants may reside in the following states: AZ, CA, CO, CT, DC, DE, FL, GA, IL, IN, KY, LA, MA, ME, MD, MI, MN, MO, NC, NJ, NY, OR, PA, SC, TN, TX, VA, and WI.

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