Senior Data Engineer
Remote in the US
Full Time Senior-level / Expert USD 140K - 180K
At Synack, we create technology that unleashes the best cybersecurity talent to secure our digital world.
We protect leading global organizations by reducing companies’ security risk and increasing their resistance to cyber attack. How do we do this? By utilizing the world’s best and most trusted team of ethical hackers who test through our powerful and controlled platform to deliver real security without compromise.
Backed by top-tier venture capital firms including Kleiner Perkins Caufield & Byers, Microsoft, and Google Ventures, Synack's mission is to leverage global security talent coupled with advanced technology to help enterprises discover security vulnerabilities before they become business problems. Discover the possibilities at Synack!
We are looking for an experienced and innovative Senior Data Engineer to extend the data warehouse and build streaming and batch data products that will revolutionize cyber security. Working in the Cloud and using DevOps, you will process data to improve visibility into our Red Team’s activity, and enhance the ratings method measuring the security standing of our Clients.
Sounds interesting? Keep reading...
Here’s what you'll do
- Maintain and extend the data warehouse to serve data insights to various stakeholders
- Develop ETL batch data pipelines with BigQuery or similar and orchestrate with modern orchestration tools (Airflow, Puppet)
- Use stream processing technologies (Apache Flink, Kafka, Cloud Functions) to build a continuously available large-scale event streaming platform
- Maintain and extend the infrastructure as code (Terraform based) implementation of the data platform
- Support existing production products including APIs, data pipelines, relational databases and NoSQL document stores
- Develop data models for dashboards with Looker, Tableau or Superset and interactive applications to embed in the UI
- Build innovative data analytics and proof of concept ideas to drive actionable insights
- Collaborate with engineers and product managers across the company
- Contribute to the development of Data Analytics, Machine Learning models and application of AI to real world problems
Here’s what you’ll need
- 8+ years of experience architecting data warehouses such as BigQuery, Redshift, Databricks
- 5+ years of programming experience with Python, SQL and Java / Scala
- 5+ years experience implementing batch data pipelines with modern technologies like BigQuery or Spark
- 3+ years of experience designing and building real-time data production solutions with Kafka, kSQL, Spark, Flink or similar
- Experience on using various database systems such as data warehouse (OLAP or delta lake), relational (PostgreSQL) and NoSQL document storage along with their performance optimisation
- Experience architecting and leading application development efforts
- Experience working with Google Cloud or other public cloud platforms
- Experience with unit and integration tests, and Agile software development practices using Git
- Experience with CICD deployment process and Docker related products
- Experience delivering data insights with BI tools such as Looker, Tableau
Bonus Points
- Working experience with infrastructure as code with Terraform
- Production ML experience
- Exposure to cybersecurity
Ready to join us?
Synack is committed to embracing diversity. Our people are our strength. Each addition to our team is an opportunity to grow and diversify our ideas, experiences, and viewpoints. We strive to be inclusive of Race, Ethnicity, Religion, Sex, LGBTQ+, Veterans, Disabilities, and Age. Synack welcomes you!
As a candidate, Synack cares about your privacy. Please view our candidate privacy policy here.
This position has responsibility to ensure Synack’s security and privacy posture is maintained.
$140,000 - $180,000 Salary is determined by a combination of factors including location, level, relevant experience, and skills. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. The compensation package for this position may also include equity, and benefits.
For more details about our benefits, please see here. Then for the Employer code, enter: synack
Tags: Agile Airflow APIs BigQuery Data Analytics Databricks Data pipelines Data warehouse DevOps Docker ETL Flink GCP Git Google Cloud Java Kafka Looker Machine Learning ML models NoSQL OLAP Pipelines PostgreSQL Privacy Puppet Python RDBMS Redshift Scala Security Spark SQL Streaming Superset Tableau Terraform
Perks/benefits: Career development Equity / stock options Salary bonus
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