If being part of a small dynamic, agile software engineering team practicing TDD with an emphasis on software quality, with a tremendous opportunity to make a big impact, this is the job for you!  This role will provide you with an opportunity to make a huge impact.  You will help drive and maintain a high-level of operational excellence in data engineering.

What You’ll Do

• Develop integrations to move data into the raw zone of the data lake
• Build ETL/ELT pipelines to transform data in the raw zone, and load it to the structured and consumer zones of the data lake, and to serving tiers
• Define and lead the best practices in security, data privacy, quality, and data governance
• Help lead and collaboratively define Lark's next generation data platform
• Help build online data validation to ensure the assumptions we’ve tested for in our code remain true; outlier and aberration detection, change-detection, etc.
• Collaborate with teams across the company to help develop data products that drive company success
• Evaluate, integrate and build tools and infrastructure to accelerate Data Engineering, Data Science, Business Intelligence, Reporting and Analytics as needed
• Drive data literacy across business functions

What You’ll Need

• Knowledge of the “Testing Pyramid”, and have helped other engineers apply it correctly
• You know S.O.L.I.D. principles and practice them intuitively and appropriately
• Expertise in Scala, Python, and Java
• Demonstrated expertise in Object Oriented (OO) and Functional programming (FP) including an expert knowledge of common design patterns, idioms, best practices, dependency injection/inversion frameworks and techniques, testing frameworks, Monad-Transformer-Libraries (MTL), Tagless-Final encoding (and when it’s appropriate), etc.
• Fluency in data structures, algorithms, distributed computing, storage systems, and multiple consistency models
• 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
• Deep 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
• Ability to thrive in an environment promoting and enabling collaboration
• Solid understanding and hands-on experience in computer network
• Expertise with Apache Spark, DataFrame & Dataset API, spark internals and optimization
• Data warehouse modernization, building data-marts, star/snowflake schema designs, ETL/ELT pipelines
• Building production-grade data backup/restore strategies, and disaster recovery solutions experience

Technologies we use in data engineering:

• Scala, sbt, Python, Pytest, tox, Java, Maven, Github, Code Artifact, Apache Spark (on EMR and Databricks), Airflow, AWS (DynamoDB, RDS, Kinesis, SQS, SNS, MWAA, S3, Lambda, Event Bridge, MSK, EKS, ECR, Kubernetes, Kafka, Delta Lake, SparkML, GraphX, Snowflake and Periscope (Sisense)

Working at Lark 
Lark offers the option to work remotely in the United States. For Colorado Applicants only: minimum annual salary is $151,000 (minimum salary varies for other geographies). You may also be offered a bonus, stock options and/or benefits. The company is headquartered in Mountain View, CA.

Lark is an Equal Opportunity and Affirmative Action Employer. We believe that diverse teams foster innovation and add to our mission-driven culture. We strongly encourage people from underrepresented groups to apply.

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