Senior Data Engineer

The value of this position

Our client on experienced Data Engineer to be a founding key member of our Data Engineering team. The team will have the agency to innovate and develop net new capabilities that will provide step-function change in the operation of the business and create strategic advantages that differentiate us  from the competition. You are passionate about leading initiatives to deliver capabilities that are rigorous and reliable. Your work will be leveraged throughout the company including product, sales, marketing, services, and leadership. You have deep technical skills and are excited about building a green field data platform to drive the business forward.

What you will own in this role

• Define and develop the program and architecture for data collection, modeling, metrics creation, data validation, model training, and reporting of intelligence.
• Drive the collection of new data and the refinement of existing data sources.
• Create pipelines (data processing, data analysis, optimization, implementation, validation) put Data Science into production with enterprise capabilities (performance, scale, security).
• Leverage appropriate analytic strategy, design, or methods of data collection necessary to generate reliable, comprehensive, and deep insights.
• What experience we believe is the right fit
• Hands-on experience with several languages (R, Python, Java, Typescript, SQL, etc.) not only to manipulate data and draw insights from diverse data sets, but also to integrate models into production services.
• Delivering internal/production data tools for ETL, experimentation, exploration, cleansing, reconciliation using Matillion.
• Working knowledge of OLTP, OLAP, and other novel datastores (MySQL, Snowflake, RDS, NoSQL [binary/json], Hive, HDFS, Elastic Search)
• Working knowledge of distributed data/computing tools: Map / Reduce, Hadoop, Spark, etc. and the data formats leveraged principally by these technologies (JSON, Parquet, Avro, Raw Text)
• Defining and developing the program and architecture for data collection, modeling, metrics creation, data validation, model training, and reporting of intelligence.
• Driving the collection of new data and the refinement of existing data sources.
• Define data schemas and services, focussed on accessibility/use-case for the consuming process (NoSQL, Graph DB, Parquet/HDFS, SolR/ElasticSearch
• Creating reporting and present visualizations that tell a story and provide insight.
• Assisting with developing models to project key business metrics (Traffic, Conversion, Engagement) and developing KPIs to drive optimization and improvement of product features and business strategies.
• Working cross-functionally to define problem statements, collect data, build analytical models, and drive solutions

Required Qualifications

• 8+ years of experience

Education

Bachelors in mathematics, Physics, Statistics, Computer Science, Engineering, or another quantitative field. Master’s preferred.

Desired Qualifications

• Visualizing/presenting data for stakeholders using Looker
• Analyzing data from 3rd party providers: Google Analytics, Adwords, Segment, Salesforce, Pardot, Mandrill, Facebook Ads, etc.
• Leading projects involving cross-functional and cross-cultural teams, fostering relationships across areas of the business that include Marketing, Sales, Product, Services, and Engineering.
• Familiarity with machine learning and statistical approaches (Clustering, Decision Trees, Bayesian, GLM/Regression, Random Forest, Boosting, Neural Networks, etc.)
• Domain knowledge in insurance, financial services, advertising, or marketing industry