Data Engineer

Miles is a universal rewards app empowering anyone to earn miles automatically for all forms of travel and commute. You can then redeem your miles from amazing brands such as HP, Garmin, Pandora, Chewy, Home Chef, Buffalo Wild Wings, Wayfair, Sam’s Club and many more.

Similar to a frequent flyer program, but for all forms of transportation, Miles delivers value for every mile traveled, across every mode of travel, anywhere in the world. Whether by car (as a driver, passenger, or rideshare), plane, train, subway, bus, boat, bicycle, or on foot, the Miles app effortlessly awards users’ travel - regardless of where their journey takes them. Miles can be saved or redeemed at any time - with the value increasing every month as more merchants accept them as a form of payment.

Miles is a Silicon Valley-based startup with backing from prominent VCs (Porsche, Scrum, Panasonic, and Urban.us). Join the Miles family and be part of this revolutionary program!

Miles Engineering

You will be working with a great team from diverse backgrounds in a collaborative and supportive environment. We solve a wide variety of interesting technical challenges and continually build up our platform to power the next generation of scale and features. We partner closely with Product, Design, and UX teams to build and ship the most impactful

You want to join an early startup on a fast growth trajectory. You are self-motivated, take end-to-end ownership, communicate effectively, and are a fast learner.

Responsibilities

• Work with product managers and data analysts to build data products that power our business.
• Build and maintain data analytics reports, ETL pipelines, data lakes, and streaming solutions.
• Analyze new data sources and work with stakeholders to understand the impact of integrating new data into existing pipelines and models
• Develop & maintain critical data pipelines, using tools such as Apache Airflow, to ensure highly accurate and reliable business reporting
• Perform ad-hoc analysis and provide insights to stakeholders within the organization such as Marketing, Growth & Sales teams to drive prioritization.
• Create data visualizations and analytic reports using various tools such as Tableau, Databox, etc
• Optimize database queries to improve and maintain performance on very large data sets.
• Work closely with the business and data science team for the deliverables.

Requirements

• Masters or bachelor's degree in CS/ML/AI or relevant computational/engineering discipline.
• Experience building stream-processing systems, using solutions such as Kinesis, Kafka, Storm or Spark-Streaming.
• Expertise with coding with Pyspark, Pandas, Scipy, and visualizations with Tableau & Databox. Scheduling/orchestrating pipelines using Databricks and Airflow.
• Expertise with data querying (SQL, Redshift, Spark) and analyzing billions of rows of data points.
• Familiarity with SQL, especially within cloud-based data warehouses like Snowflake, Google BigQuery, and Amazon Redshift
• Strong understanding of relational DB such as MySQL/PostgreSQL, document-based storage systems such as MongoDB or CouchDB, key-value stores (Memcached, Redis), Column-oriented stores (HBase, Cassandra), graph-oriented stores; their distinct advantages, disadvantages, and trade-offs.
• Experience building machine learning, statistical and analytical models, and tuning parameters.
• Experience designing experiments and extracting insights.
• Knowledge of various ETL techniques and frameworks

Bonus points

• You have worked extensively with location and trip data at scale.
• Specialization in spatiotemporal clustering in the presence of noise.
• Prior startup experience.

Benefits

• Competitive salary based on experience
• Opportunity to create impact in a high-growth startup environment
• 401K program with company matching to help you invest in your future
• Employee healthcare benefits include medical, dental, vision insurance
• Paid time off + sick days
• Work-from-home Fridays
• Wellness Day - One additional holiday each month for employee wellness
• Employee Referral bonus
• Daily office meals and a fully stocked kitchen
• Monthly team-building activities and happy hours
• Stock in an early-stage, fast-growing startup company

Our Commitment to Inclusivity and Diversity

Miles is committed to creating an inclusive and diverse environment where people of every background can thrive and feel welcome. We consider applicants without regard to race, color, creed, religion, national origin, genetic information, gender identity or expression, sexual orientation, pregnancy, age, marital, veteran, or physical or mental disability status.