<div><div>At Arctic Wolf, were redefining the cybersecurity landscape. With our employee Pack members, spread out globally, committed to setting new industry standards. Our accomplishments speak for themselves, from our recognition in the Forbes Cloud 100, CNBC Disruptor 50, Fortune Future 50, and Fortune Cyber 60 to winning the 2024 CRN Products of the Year award. We’re proud to be named a Leader in the IDC MarketScape for Worldwide Managed Detection and Response Services and earning a Customers Choice distinction from Gartner Peer Insights. Our Aurora Platform also received CRN’s Products of the Year award in the inaugural Security Operations Platform category. Join a company that’s not only leading, but also shaping, the future of security operations.  </div><div> </div><div>Our mission is simple: End Cyber Risk. We’re looking for a Senior Developer - Security Research Services Development (SRSD) to be part of making this happen. </div><div>About the role:</div><div>Data is a critical part of Arctic Wolf Network’s mission to solve cyber risk, where we process and analyze hundreds of billions of events every day to look for malicious and risky behavior. Furthermore, we’re geeks at heart and are passionate about data and solving cybersecurity problems for our customers. The AI &amp; Data Science team works on analyzing Arctic Wolf’s product platforms, internal business challenges, and customer pain points to develop new products and features for our customers. </div><div>As a Data Engineer on the Security Research Services Development team you will be responsible to create data pipelines for our suite of cybersecurity products and services. They will partner with Security Researchers and MLOPs engineers as a data engineer, familiar with SQL, Spark, and either/both of Databricks or Athena/Iceberg/Trino to write and optimize ETL/ELT jobs to ingest raw data from a variety of sources, refine that data, and optimize/tune those datasets into production. They should be comfortable with relational- and non-relational databases like SQL and PostgreSQL, big data systems such as Spark, and cloud-deployments of software and ETL jobs in AWS. Workflow orchestrators such as Airflow will also be used. Knowledge of cybersecurity and data science are a bonus.  </div><div>You Will: </div><div><ul><li>Design and implement distributed, fault-tolerant data pipelines for real-time and batch processing. </li></ul></div><div><ul><li>Build scalable microservices and APIs using Python or Go. </li></ul></div><div><ul><li>Develop and optimize ETL/ELT workflows using Spark, Flink and orchestration tools like Airflow or AWS Step Functions. </li></ul></div><div><ul><li>Work with big data technologies including Databricks, Athena, Iceberg, and Trino. </li></ul></div><div><ul><li>Implement data streaming and event-driven architectures using Kafka, Kinesis, SQS/SNS, etc. </li></ul></div><div><ul><li>Manage and optimize data storage using Parquet, ORC, Avro, and query engines like Presto and Athena. </li></ul></div><div><ul><li>Deploy infrastructure and pipelines using Terraform, CloudFormation, Jenkins and other CI/CD tools. </li></ul></div><div><ul><li>Collaborate with cross-functional teams to define data infrastructure requirements and deliver robust solutions. </li></ul></div><div><ul><li>Contribute to LLM workflows and prompt engineering using platforms like AWS Bedrock. </li></ul></div><div><ul><li>Continuously improve data availability, quality, and performance for ML and analytics workloads. </li></ul></div><div>About You: </div><div><ul><li>5+ years of experience in data engineering, with a strong focus on scalable backend systems. </li></ul></div></div><div><div><ul><li>Proficiency in SQL, PostgreSQL, and big data platforms like Spark and Databricks. </li></ul></div><div><ul><li>Hands-on experience with cloud-native data infrastructure, especially AWS. </li></ul></div><div><ul><li>Expertise in building and maintaining data lakes and optimized storage formats. </li></ul></div><div><ul><li>Strong programming skills in Python, Go, Java, or Scala. </li></ul></div><div><ul><li>Experience with CI/CD and infrastructure-as-code tools. </li></ul></div><div><ul><li>Familiarity with cybersecurity concepts and data science workflows is a plus. </li></ul></div><div><ul><li>A collaborative mindset and a passion for solving complex data challenges. </li></ul>Why Arctic Wolf?At Arctic Wolf, we foster a collaborative and inclusive work environment that thrives on diversity of thought, background, and culture. This is reflected in our multiple awards, including Top Workplace USA (2021-2024), Best Places to Work – USA (2021-2024), Great Place to Work – Canada (2021-2024), Great Place to Work – UK (2024), and Kununu Top Company – Germany (2024). Our commitment to bold growth and shaping the future of security operations is matched by our dedication to customer satisfaction, with over 7,000 customers worldwide and more than 2,000 channel partners globally. As we continue to expand globally and enhance our technology, Arctic Wolf remains the most trusted name in the industry. Our Values  Arctic Wolf recognizes that success comes from delighting our customers, so we work together to ensure that happens every day. We believe in diversity and inclusion, and truly value the unique qualities and unique perspectives all employees bring to the organization. And we appreciate that—by protecting people’s and organizations’ sensitive data and seeking to end cyber risk— we get to work in an industry that is fundamental to the greater good. We celebrate unique perspectives by creating a platform for all voices to be heard through our Pack Unity program. We encourage all employees to join or create a new alliance. See more about our Pack Unity <a href="https://arcticwolf.com/company/careers/diversity-equity-inclusion-and-belonging/" target="_blank">here</a>.   We also believe and practice corporate responsibility, and have recently joined the Pledge 1% Movement, ensuring that we continue to give back to our community. We know that through our mission to End Cyber Risk we will continue to engage and give back to our communities.  All wolves receive compelling compensation and benefits packages, including:  ·       Equity for all employees ·       Flexible annual leave, paid holidays and volunteer days ·       Training and career development programs ·       Comprehensive private benefits plan including medical insurance for you and your family, life insurance (3x compensation), and personal accident insurance. ·       Fertility support and paid parental leave On-Camera Policy To support a fair, transparent, and engaging interview experience, candidates interviewing remotely are expected to be on camera during all video interviews.  Being on camera fosters authentic connection, improves communication, and allows for full engagement from both candidates and interviewers.  We understand that technical, bandwidth, or location-related challenges may occasionally prevent video use. If this applies, candidates are required to notify us in advance so we can explore appropriate accommodations.Security Requirements Conducts duties and responsibilities in accordance with AWN’s Information Security policies, standards, processes, and controls to protect the confidentiality, integrity, and availability of AWN business information (in accordance with our employee handbook and corporate policies). Background checks are required for this position. This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (“EAR”). Please note that, if applicable, an offer for employment will be conditioned on authorization to receive software or technology controlled under these laws and regulations.Arctic Wolf is an Equal Opportunity Employer and considers applicants for employment without regard to race, colour, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, provincial, or local law. Arctic Wolf is committed to fostering a welcoming, accessible, respectful, and inclusive environment ensuring equal access and participation for people with disabilities. As such, we strive to make our entire employee experience as accessible as possible and provide accommodations as required for candidates and employees with disabilities and/or other specific needs where possible. Please let us know if you require any accommodations by emailing <a href="mailto:recruiting@arcticwolf.com.%E2%80%AF" target="_blank">recruiting@arcticwolf.com. </a> </div></div>