Engineer Jobs

About The Position

Requirements

• Must be 18 years of age or older.
• Must be legally permitted to work in the United States.
• Bachelors or Masters in a quantitative field (Analytics, Computer Science, Math, Physics, Statistics, etc.) or relevant work experience.
• 5+ years of relevant work experience
• Demonstrated experience in predictive modeling, data mining and data analysis
• Demonstrated experience developing and testing ETL jobs/pipelines, configuring orchestration, automated CI/CD, writing automation scripts, and supporting the pipelines in production
• Experience in high-level programming languages such as Python
• Experience defining and capturing metadata and rules associated with ETL processes
• Experience building Batch and Streaming pipelines
• Prior direct experience writing analytical SQL queries and performance-tuning queries
• Ability to stich and maintain data from multiple sources
• Ability to use JavaScript, Front-end development frameworks (React, Nucleus), and QA apps (Retina, KPI Shield, Alert Goose)
• Ability to produce tags for site data
• Ability to code in Python, Google BigQuery to stitch and enrich the raw data from multiple sources
• Proven ability to use PySpark, AirFlow, and DataProc to engineer and automate data flows pipelines
• Ability to optimize the pipelines run time and lower the cost on slots/storage consumption
• Ability to prioritize requests and manage a product roadmap
• Coaching junior engineers to help improve their code, best practices, and understanding of data engineering principles.
• Strong verbal and written communications skills at all levels
• The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
• The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.
• 4 years of work experience
• No previous leadership experience

Nice To Haves

• Ability to use JavaScript, Front-end development frameworks (React, Nucleus), and QA apps (Retina, KPI Shield, Alert Goose)
• Ability to produce tags for site data
• No previous leadership experience

Responsibilities

• Leverage extensive business knowledge into solution approach
• Effectively develop trust and collaboration with internal customers and cross-functional teams
• Provide general education on advanced analytics to technical and non-technical business partners
• Deep understanding of IT needs for the team to be successful in tackling business problems
• Actively seek out new business opportunities to leverage data science as a competitive advantage
• Work with project teams and business partners to determine project goals
• Provide direction on prioritization of work and ensure quality of work
• Provide mentoring and coaching to more junior roles to support their technical competencies
• Collaborate with managers and team in the distribution of workload and resources
• Support recruiting and hiring efforts for the team
• Execute tasks with high levels of efficiency and quality
• Make appropriate selection, utilization and interpretation of advanced analytical methodologies
• Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners
• Prepare reports, updates and/or presentations related to progress made on a project or solution
• Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
• Guide and direct project teams in the requirements gathering, design, and development of complex applications/programs
• Seek further knowledge on key developments within advanced analytics, technical skill sets, and additional data sources
• Participate in the continuous improvement of predictive and prescriptive analytics by developing replicable solutions

Benefits

• Typically requires overnight travel 5% to 20% of the time.
• Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.
• Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.