About the position
Coveware by Veeam is currently looking for a Principal Software Engineer for Data. Coveware is a category defining cyber extortion incident response firm that empowers victims of cyber extortion to recover their data with transparency, efficiency and integrity. Ransomware identification, negotiation, cryptocurrency payment and decryption services are bundled together to collect and share data with victims in a similar situation. The data collection and recovery is enabled by the development of both proprietary and open-source software with the goal of enabling and empowering victims of cyber extortion, regardless of their technical ability or budget. As a Principal Software Engineer of Data, you will help companies from around the world prevent and recover from cyber attacks by providing critical insights from our data. We want you to play a major part in raising the bar as we continue our growth. We are looking for someone who is passionate about architecting and building data pipelines in the cloud that are robust, scalable, and performant for products used by a growing global customer base.
Responsibilities
- Designing and implementing scalable ETL/ELT data pipelines handling large volumes of data to support global expansion of our patent-pending forensics products that have been used by thousands of customers.
- Driving the expansion and management of our data processing infrastructure across multiple AWS regions.
- Analyzing current data architecture for security, scalability, performance, and data quality, and implementing appropriate solutions.
- Developing and deploying serverless data processing solutions using AWS Lambda, orchestrated using Apache Airflow.
- Designing and optimizing data architecture within relational databases (e.g., AWS RDS) and data warehouses (e.g., AWS Athena).
- Collaboration with cross-functional teams, including the product manager, UX designer, and other engineers to understand data processing requirements and translate them into technical solutions.
- Writing clean, maintainable, and well-documented code following best practices and coding standards, with data quality and security top of mind.
- Implementing observability and alerting for data pipelines to proactively identify and resolve issues.
- Conducting code and data pipeline reviews, provide constructive feedback, and mentor peers to ensure data quality and continuous improvement.
Requirements
- 10+ years of experience as a software engineer, bulk of it in building and deploying production data pipelines at scale in the cloud (preferably AWS), using orchestration tools like Apache Airflow.
- Proven experience in designing and scaling highly-performant data pipelines leveraging AWS services such as S3, Athena, Lambda, and RDS.
- Fluency in a modern programming language relevant to data engineering (e.g., Python).
- Strong experience working with relational databases (e.g., PostgreSQL, MySQL, etc) and data warehousing solutions (e.g., AWS Athena).
- Experience in leading other engineers in designing and implementing solutions for building and managing data pipelines and data infrastructure.
- Experience running data pipelines in multiple cloud environments is highly desirable.
Benefits
- Unlimited PTO
- Medical, dental, and vision benefits that start on day one
- Flexible spending accounts
- Life insurance and short-term and long-term disability coverage
- Family planning support benefits, along with 100% paid maternity and parental leave
- 401k match
- Veeam Care Days - additional 24 hours for your volunteering activities
- Professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (Percipio, Athena, O'Reilly) and mentoring through our MentorLab program
