Sr. Software Data Engineer
Remote | Los Angeles | Global
Applications have closed
We're looking for our next Senior Software Data Engineer.
Joining our relatively small development team, this is the perfect position for someone who is looking to build. While there are elements to our products that will require maintenance, the core of this position is centered around you taking charge of our larger and more strategically complex projects. Reporting to the VP of Engineering, you will help to not only scale the products but to scale the Engineering team. Serving as a lead and mentor to data scientists and software engineers on data engineering best practices, you’ll pave the way on our most challenging initiatives, from building scalable systems to designing new product features.
Taking ideas from concept to implementation, you’ll be responsible for designing, evaluating, and executing on solutions to open-ended problems. Our philosophy at Kharon is that to be successful, one should never stop learning. So, if you’re driven by your tenacity, superior analytical skills and resourcefulness, this is your gig.
To better break this position down, we’ve included bullet points below that highlight the position itself, the requirements for success and some preferred skills that would put you at the top of our list.
You have…
- 4+ years experience as a software engineer or a data engineer
- Experience in one or more of the following languages: Python, Scala, Golang (big plus), Java, C++, NodeJS, etc.
- Advanced SQL knowledge and experience working with multiple relational databases including schema design, access patterns, query performance optimization, etc.
Your day-to-day will look like…
- Building large-scale distributed data processing systems, data lakes, and optimizing for both computational and storage efficiency on AWS Databricks.
- Creating data pipelines and overall workflow orchestration to deliver customized data exports to clients in a predictable and timely manner.
- Designing, building, evolving, and scaling a state-of-the-art machine learning system infrastructure that powers knowledge extraction systems that drive Kharon’s data products.
- Designing data schemas and operating cloud-based data lake-houses and SQL/NoSQL/temporal and graph based database systems.
- Taking full responsibilities for the development, deployment, adoption monitoring and maintenance of the data systems and services you build.
- Providing technical leadership and mentor data scientists & software engineers on the data engineering best practices.
- Collaborate with Machine learning / Deep learning researchers and backend engineers to implement scalable solutions to solve complex problems.
What will make you stand out as an applicant…
- Experience with big data technologies like Spark, Delta, Databricks.
- Experience with data modeling for data warehousing technologies like Snowflake, Redshift or Big Query.
- Experience with data modeling for developing semantic knowledge graphs or graph databases like Neo4J, Neptune, etc is a plus.
- Understanding of elasticsearch data and query modeling is a plus.
- Container-based deployment experience using Docker and Kubernetes.
- Experience with stream-processing systems: Storm, Spark-Streaming, Flink, etc.
- Experience with DevOps methodologies and tools for automating and monitoring systems.
- BS/MS in Computer Science or equivalent experience in related fields.
So, that’s the role and to the right person, this will be the perfect kind of challenge. Our mission is compelling, our product is powerful and we’re growing at a rate that makes us unstoppable. If you’re looking to be surrounded by people who will inspire you to think and challenge you to grow then look no further! Our team is made up of some of the most visionary and uncompromising individuals you will ever meet. We don’t take ourselves seriously but we’re serious about the work we do and there is absolutely no slowing us down!
To keep that momentum going, we do our very best to make sure that each and every team member is completely taken care of. From generous time off and fully paid medical plans to daily catered lunches and full-loaded break rooms, we’re nothing without our people so we provide benefits and perks that reflect that. You can count on…
- All the equipment you need to be successful in your role.
- Fully remote/hybrid environments with HQ in L.A. and hubs in D.C., N.Y., and London
- Premium medical benefits that are paid 100% paid for with an option to elect for Vision and Dental
- 401k plan that you can enroll in with no waiting period
- Front-loaded paid time off + 11 paid holidays
- If you visit our office(s), fuily catered lunches and every snack you can think of. Also, we have a speakeasy (yes, we said a speakeasy)
- And, more on the way! As our team grows and evolves, so will our offerings.
We are aggressively looking for the right individual to join our team and spearhead this position. If you think you fit the bill, don’t hesitate - APPLY! We look forward to hearing from you!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Big Data BigQuery Computer Science Databricks Data pipelines Data Warehousing Deep Learning DevOps Docker Elasticsearch Engineering Flink Golang Kubernetes Machine Learning Neo4j Node.js NoSQL Pipelines Python RDBMS Redshift Scala Snowflake Spark SQL Streaming
Perks/benefits: 401(k) matching Career development Flex vacation Health care Lunch / meals
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