Software Engineer - Data ETL

| Peninsula | Remote
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About Lark

Lark is the world's largest A.I. healthcare provider, having provided care to more than a million patients suffering from, or at risk of, chronic diseases like Diabetes and Heart Disease. We’re on a mission to improve people’s health and happiness through our digital health coaching platform and smart connected devices. We are the only A.I. platform ever to become medically reimbursed to 100% replace a live healthcare professional, providing deeply scalable care to create real change.

What You’ll Do

  • Member of a small, agile team fairly early in its data-engineering journey and have a tremendous opportunity to make a big impact.
  • Design and build data infrastructure with efficiency, reliability and consistency to meet rapidly growing data needs .
  • Design data pipelines and data integrations to collect, clean and store large datasets (streaming and batch).
  • Maintain the privacy of our users and partners by helping ensure best practices in security and data handling continue as we grow.
  • Help establish and maintain a high-level of operational excellence in data engineering
  • Collaborate with teams across the company to help develop data products that drive company success.
  • Evaluate, integrate and build tools to accelerate Data Engineering, Data Science, Business Intelligence, Reporting and Analytics as needed
  • Drive data literacy across business functions

What You’ll Need

  • Expertise in Spark (or Storm/Flink/MapReduce/Impala/Hive)
  • In-depth knowledge of AWS (including EMR, DMS, Athena, RDS, Aurora, Lambda, Redshift, etc.)
  • Expertise in stream data processing (e.g., DMS, Flink, Spark, Kinesis, Kafka)
  • Advanced SQL skills
  • Expertise in the following programming languages: Python, Scala and Java
  • Demonstrated expertise in Object Oriented and Functional programming including a solid grasp of common design patterns, idioms and design
  • Fluency in data structures, algorithms, distributed computing, storage systems, and assorted consistency models.
  • A love of data and a desire to help people use data effectively in a startup environment
  • Knowledge of multiple database technologies, their tradeoffs, and how to make the best use of each
  • Willingness to learn and mentor in a collaborative team environment
  • Humility with an intrinsic positive drive
  • Passion for developing a world-class engineering culture
  • Value, respect, and an enthusiasm for diversity, inclusion, and alternative perspectives
  • Goal-oriented, with a desire to create an environment of psychological safety
  • Willingness to ask questions and the ability to break down a problem to its smallest parts
  • Effective communication (oral and written!) across a range of audiences
  • Ability to thrive in an environment promoting and enabling collaboration

Education and Experience

  • BS or MS in Computer Science, Mathematics, Computer Engineering or related field
  • 3-5 years software engineering or equivalent knowledge and ability
  • 2+ years data engineering experience or equivalent knowledge and ability
  • Designing and maintaining at least one type of database (object, columnar, in-memory, relational) experience
  • Relational, object, tabular, key-value, triple-store, tuple-store, and related database types experience
  • Data warehouse modernization, building data-marts, star/snowflake schema designs, infrastructure components, ETL/ELT pipelines, and BI/reporting/analytic tools experience
  • Building production-grade data backup/restore strategies, and disaster recovery solutions experience

Other technologies that are a plus:

  • SparkML (or scikit-learn/TensorFlow)
  • GraphX (or TitanDB/neo4j/range++/graph engine/orientdb)
  • Delta Lake
  • Airflow (or luigi/oozie/azkaban/pinball/chronos)
  • Snowflake
  • Hadoop Ecosystem (MapReduce/Yarn/HDFS/Pig/Hive)
  • Periscope[Sisense]/Tableau/Domo/Looker/Superset - any fine

JOIN US

Our team works with cutting edge tools and technology related to Artificial Intelligence and Machine Learning. We are using NLP to process millions of meals, and accelerometer data to compute activity and sleep amounts from users' phones. Our chat A.I. is the most sophisticated digital health engagement tool in the world. Join us and make it even better!

Working at Lark 

Lark offers the option to work remotely when both the employee and the job are suited to such an arrangement and when the employee and their manager are in alignment with the work location and working hours. This option is only applicable to U.S. employees. To accommodate all employees, we have identified the “core” period of the day during which all employees are required to work for scheduled meetings, syncs, scrums between 10 a.m. and 3 p.m. Pacific time. The company is headquartered in Mountain View, CA.

Lark is an Equal Opportunity Employer. 


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Location

2570 El Camino Real, Mountain View, CA 94040

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