Posted in Engineering 30+ days ago.
Type: Full Time
At FactSet, we're working to be the best financial data provider on earth. To get there, we need highly motivated, talented individuals who are empowered to find answers through creative technology. The Lead Software Engineer is a leadership role in the Content Engineering group and part of the FactSet Entity Data Collection and Publishing team with overall responsibility of data engineering to build and support a modern content publishing pipeline. The incumbent is an experienced software engineering leader with excellent technical, leadership, interpersonal, and organizational skills as well as a solid grasp of the software development lifecycle. The Lead Software Engineer will be joining an agile team that owns and supports multiple critical products that are part of the Global Entity Re-imagined (GER) effort and critical to delivering FactSet's Entity and Private Market data at scale.Responsibilities:Design, build and maintain scalable and reliable Entity and Content publishing pipelinesDesign and collaborate on architecture with other Engineering leadersAccelerate technical implementation procedures while meeting deadlines to deliver critical content sets aligning with FactSet's Entity and Private Markets strategyWork closely with other team members to establish and maintain best development practicesCollaborate with product owner in creating specifications, identifying core features, and prioritizing tasksCollaborate with other Team Leads across FactSet's various locations to avoid technical duplication and align with objectives set by Content EngineeringParticipate in leadership opportunities for Content Engineering including recruiting, training, and technical development.Minimum Requirements:5+ years of technical contributions to high performing software solutionsCritical Skills:Experience using Python, Pandas dataframesExperience working with Dask or other distributed computing frameworksExperience working with AWS or other cloud providersExperience with Kubernetes or other container orchestration systemsAbility to communicate effectively with peers within the organizationAbility to contribute to code review feedback for other engineers and contribute to forward design ideasAdditional/Desired Skills:Experience working with large datasetsExperience with Scrum, Kanban or Agile software development in generalEducation:Bachelor's degree in Computer Science, a related technical field or equivalent experienceFactSet is an Equal Opportunity Employer - M/F/Veteran/Disability/Sexual Orientation/Gender IdentityVEVRAA Federal ContractorRequest Priority Protected Veteran & Disabled Referrals for all of our locations within the stateThe EEO is the Law poster is available here.FactSet Research Systems Inc. endeavors to make our website accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact Jennifer Passeck, Lead Recruiting Specialist, Human Resources at +1 (203) 810-2472 or recruiting@factset.com.Equal Opportunity Employment PolicyIt is the policy of FactSet Research Systems Inc. ("FactSet") to provide equal employment and advancement opportunities to all qualified employees and applicants for employment regardless of their race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, physical or mental disability, genetic information, protected veteran status, pregnancy, military or military reserve obligations, or any other class or status protected by law. This policy applies to all policies and procedures related to recruitment, hiring, training, promotion, compensation, benefits, transfer, discharge, and other terms and conditions of employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status. If you have questions concerning this policy, please contact the Human Resources department at +1 (203) 810-1000.PDN-976a703e-2342-4071-86ac-bb6e3e3a3e05
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