CovewarePrincipal Software Engineer, Data

fully flexible
Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Over 10 years of experience in software engineering, especially in building and deploying large-scale data pipelines in the cloud., Proven expertise with AWS services such as S3, Athena, Lambda, and RDS., Strong programming skills in languages relevant to data engineering, like Python., Experience leading engineering teams and designing scalable, secure, and high-performance data architectures..

Key responsibilities:

  • Designing and implementing scalable ETL/ELT data pipelines to support global products.
  • Managing and expanding data processing infrastructure across multiple AWS regions.
  • Analyzing and improving data architecture for security, scalability, and data quality.
  • Collaborating with cross-functional teams to develop technical data solutions.

Veeam Software logo
Veeam Software XLarge https://www.veeam.com
5001 - 10000 Employees
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Job description

Veeam, the #1 global market leader in data resilience, believes businesses should control all their data whenever and wherever they need it. Veeam provides data resilience through data backup, data recovery, data portability, data security, and data intelligence. Based in Seattle, Veeam protects over 550,000 customers worldwide who trust Veeam to keep their businesses running. Join us as we move forward together, growing, learning, and making a real impact for some of the world’s biggest brands. The future of data resilience is here go fearlessly forward with us.

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 opensource 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, lawenforcement 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 ETLELT data pipelines handling large volumes of data to support global expansion of our patentpending 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 crossfunctional 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 welldocumented 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.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Mentorship
  • Collaboration
  • Problem Solving

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