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Staff Data Engineer

🇺🇸 United States

Management

Docker

AWS

Terraform

Finance

GitHub

Machine Learning

Design

Social Media

Devops

Testing

$130,000 - $150,000

Staff Data Engineer

from 🇺🇸 United States

$130,000 - $150,000

At MissionWired, we help our partners create revolutionary fundraising strategies that advance their mission, change our country, and have a positive impact on the world.
 
We help our partners tell big, ambitious stories that invite their supporters into communities to raise mission-changing revenue. Our results are unrivaled, having converted more than $4.5 billion in donations to the world’s most trusted philanthropies and groundbreaking campaigns. We do it over email and SMS, in the mail, across social media, everywhere. We don’t think in terms of channels; we’re single-minded in pursuit of your success.
 
We’re innovative, progress-obsessed, do-gooders who care deeply about social change and continuing to push the limits on what we can accomplish together. We’ve brought strategies to life for nonprofit organizations working around the world, including Sandy Hook Promise, Human Rights Watch, The Humane Society of the U.S., Save the Children, and Friends of the Earth. Over the years, we have worked with various progressive political organizations and believe that each election cycle is an opportunity for us to support organizations across the country and elect Democrats to legislative bodies up and down the ballot.
 
We’re an equal-opportunity employer and take seriously our commitment to equality and equity. Our efforts to be inclusive and create opportunity don’t end when someone joins us – they begin. We’ve set our sights on changing the world through our work and with our clients, and representation is at the foundation of what we do. We know that diversity of thought and background makes us stronger. That’s why we’re committed to building and maintaining a diverse community.
 
Every new team member broadens our perspective and allows us to think bigger. We’ll be at our best when people from underrepresented communities and people with a range of perspectives and lived experiences want to come, stay, and push the boundaries of what’s possible.

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.
 
You’ll join a product team that is deeply devoted to inclusion, particularly in the following three areas:
 
Process: We create a context in which everyone is empowered to contribute. 
Machine Learning: We are committed to using the power of data to support important causes. 
Philanthropy: We empower diverse groups of individuals to participate in giving.  
 
We want your ideas and your leadership. Join us. Let’s go!

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.
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, 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. Due to FL legislation, MissionWired is required to participate in e-verify.

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.
 
If you feel you can do the job and are excited about this opportunity but are not sure if you meet all the qualifications, consider applying anyway. We’d love to hear from you!
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by @maxrusakovic