Veeam®, the #1 global market leader in data protection and ransomware recovery, is on a mission to empower every organization to not just bounce back from a data outage or loss but bounce forward.

With Veeam, organizations achieve radical resilience through data security, data recovery, and data freedom for their hybrid cloud.

The Veeam Data Platform delivers a single solution for cloud, virtual, physical, SaaS, and Kubernetes environments that gives IT and security leaders peace of mind that their apps

and data are protected and always available.

Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 450,000 customers worldwide, including 74% of the Global 2000, who trust Veeam to keep their businesses running.

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.

Our team consists of dynamic and motivated individuals with collective and shared experiences throughout financial technology, product and software development, business continuity, law-enforcement and cyber security.

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.

Your tasks will include:

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.

What we expect from you:

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.

What we use:

Python, Apache Airflow
AWS Cloud (S3, SNS, Athena, Lambda, RDS)
Postgres, Elasticsearch, Github

What we offer:

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

Please Note: If the applicant is permanently located outside of the United States Veeam reserves the right to decline the application for the position. Remote work is only possible for employees located in the United States.

_The salary range posted is On Target Earnings (OTE), which is inclusive of base and variable pay. When making an offer of employment, Veeam will take into consideration the candidate’s expectations, experience, education, scope of responsibility for the role, and the current market demands.

_United States of America Pay Range

$215,000—$307,100 USD

Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.

Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.

The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.

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