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Jobs/Senior Software Engineer Role/MissionWired - Senior Software Engineer, Data Platform

MissionWired - Senior Software Engineer, Data Platform

MissionWiredRemote - United States - Remote Flexibility$107k - $120k+ Equity1w ago
RemoteSeniorNACloud ComputingData AnalyticsArtificial IntelligenceSenior Software EngineerSenior Data EngineerTeam LeadershipDocumentationDatabricksPythonSQL

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Requirements

• 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. • 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 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; • Experience building data-intensive applications and warehouses with Databricks; • Experience with integrating production level applications with AWS; • Experience supporting ML training or inference pipelines; • Experience working with cross-functional teams in a dynamic environment.

Responsibilities

• 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.

Benefits

• Salary range for this role is $107,000 to $120,000 per year, depending on experience. • 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, NE, NC, NJ, NY, OR, PA, SC, TN, TX, VA, and WA. Due to FL legislation, MissionWired is required to participate in e-verify. • 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 • 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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