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MissionWired

Senior Software Engineer, Data Platform

MissionWired

Senior Software Engineer at MissionWired overseeing production data and machine learning platform. Collaborating on innovative strategies for social good and inclusive team environments.

Posted 4/20/2026full-timeRemote • Arizona, California, Colorado, Connecticut, District of Columbia, Florida, Illinois, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Minnesota, Missouri, Montana, New Jersey, New York, North Carolina, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, Washington • 🇺🇸 United StatesSenior💰 $107,000 - $120,000 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformPythonSparkSQL

About the role

Key responsibilities & impact
  • Joining each and every one of your colleagues in creating an inclusive workspace;
  • Owning, maintaining, and supporting the reliability, architecture, and evolution of our production machine learning and delivery platform;
  • Designing, operating, and improving large scale Databricks/Spark pipelines and workflows
  • Partner with our data scientists to productionize new data and ML-powered products;
  • Leading improvements on the software integration layers between data pipelines and product workflows;
  • Growing the team via mentorship and leadership, reviewing technical documents, improving code quality, and improving team performance and processes;
  • Acting as a senior technical owner in debugging complex production issues and improving system observability;
  • Collaborating with cross-functional teams to support their data infrastructure needs.

Requirements

What you’ll need
  • Extensive hands-on software engineering experience, with a strong track record of delivering production data pipelines or platforms in a mission critical environment
  • Strong experience with Python in production systems
  • Experience integrating ML models into reliable production data pipelines, including batch inference and model serving patterns
  • Experience building and operating Databricks (or Spark) based pipelines
  • Experience with SQL
  • Experience with at least one major cloud infrastructure provider (GCP, AWS, Azure)
  • Experience with supporting business-critical systems with on-call ownership
  • Passion, energy, and excitement for progressive and philanthropic causes and all things digital.
  • 5+ years of professional experience (Nice-to-have)
  • Experience building data-intensive applications and warehouses with Databricks (Nice-to-have)
  • Experience with integrating production level applications with AWS (Nice-to-have)
  • Experience supporting ML training or inference pipelines (Nice-to-have)
  • Experience working with cross-functional teams in a dynamic environment (Nice-to-have)

Benefits

Comp & perks
  • 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
  • 17 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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
PythonDatabricksSparkSQLmachine learningdata pipelinesmodel servingcloud infrastructurebatch inferencedata-intensive applications
Soft Skills
mentorshipleadershipcollaborationdebuggingcode quality improvementteam performance improvementcommunicationproblem-solvinginclusivitypassion for digital causes