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Data Operations Engineer at Bitsight. Location Information: Remote Portugal. . Bitsight is a cyber risk management leader transforming how companies manage exposure, performance, and risk for themselves and their third parties. Companies rely on Bitsight to prioritize their cybersecurity investments, build greater trust within their ecosystem, and reduce their chances of financial loss.. Built on over a decade of technological innovation, its integrated solutions deliver value across enterprise security performance, digital supply chains, cyber insurance, and data analysis.. We invented the cyber ratings industry in 2011. Over 3000 customers trust Bitsight. Over 750 teammates are dispersed throughout Boston, Raleigh, New York, Lisbon, Singapore, and remote. Bitsight Technologies is looking for a Data Operations Data Engineer to become a core member of our Data Operations team. . This role would be perfect for a new computer science university graduate or someone with a junior level software engineering background willing to develop into a Data Engineer. You will be working alongside Data Operations Engineers and Software Engineers across Engineering and Data Science Teams.. Data is the backbone of Bitsight’s pioneering security ratings product. The ideal candidate will be a systems-oriented problem solver who is comfortable in a high-visibility role at the intersection of data, customer, people, and technology. This person will play a key role in managing the day-to-day operations of Bitsight’s data business and is expected to become an expert in the systems that are responsible for constructing BitSight’s security ratings. . Responsibilities:. Participate in Data Outage processes by troubleshooting and driving root cause resolution of technical issues related to data sources, in close collaboration with Product, Engineering, Research, and Data Science teams. Participate in Data Observability processes by contributing to the design, implementation, and monitoring of data quality, data delivery, freshness, and lineage metrics to ensure reliable data delivery across systems. Develop and maintain operational metrics for data sources in partnership with Engineering, Research, and Data Science. Share insights through scalable, repeatable processes, tools, and visualizations (Google Looker, Grafana), and recommend data quality or system improvements based on findings. Conduct quality checks on data received from external providers or internal sources to ensure successful and accurate integration. Leverage existing and emerging technologies to analyze data insights such as volume trends, anomaly detection, and pattern recognition, and recommend new tools as needed. Document data integrations and related technical details to support knowledge sharing and ensure consistent understanding across teams. Ensure the accuracy and completeness of data sets required to support BitSight’s security ratings, keeping them up to date and reflective of current source integrity. Perform routine technical evaluations of data sets, document results, and clearly communicate findings to both internal and external stakeholders. Requirements. BS in a quantitative or technical discipline (Computer Science, Engineering, Math, Economics, etc) or relevant professional experience. Demonstrated ability to use data to troubleshoot and solve complex problems autonomously and in collaboration with technical and non-technical colleagues. Experience analyzing, documenting, and presenting data-driven research. Understanding or willingness to learn the following tools: AWS, Google Looker, Grafana, Python Jupyter Notebooks, Python scripting, Pyspark, Jenkins, Jira, AWS Airflow. Previous exposure to Amazon AWS (S3, Athena, Glue, Lambda, EC2) is preferred. Working knowledge of computer science, data collection/management, software development, and network engineering concepts. Ability to be a self-starter, be attentive to details, and work independently. Demonstrated intermediate knowledge of SQL, Python, command line interfaces, and/or other analytical tools. . Desired qualifications:. 1-2 years of experience in cybersecurity, data management, software engineering, SaaS. Proven experience in building . ETL. data . pipelines. Familiarity with data observability or monitoring frameworks to track data freshness, quality, and lineage. Experience contributing to operational dashboards or internal tooling for data health and performance metrics. Exposure to troubleshooting data quality issues in collaboration with cross-functional engineering and product teams. Comfortable interacting directly with customers via Zoom to investigate and resolve technical data issues. Experience handling customer support tickets related to data inconsistencies, system behavior, or platform usage. Diversity. Bitsight is proud to be an equal opportunity employer. This means we do not tolerate discrimination of any kind and are committed to providing equal employment opportunities regardless of your gender identity, race, nationality, religion, sexual orientation, status as a protected veteran, or status as an individual with a disability.. Culture. We put our people first. Bitsight offers best in class benefits. We devote the same energy to nurturing our company's inclusive culture as we apply to serving our customers' needs. Working at Bitsight will give you the opportunity to fulfill your professional goals and expand your skills.. Open-minded. If you got to this point, we hope you’re feeling excited about the job description you just read. Even if you don’t feel that you meet every single requirement, we still encourage you to apply. We’re eager to meet people that believe in Bitsight’s mission and can contribute to our team in a variety of ways.. Additional Information for United States of America Applicants. :. Bitsight also provides reasonable accommodations to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email . [email protected]. . This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.. Qualified applicants with criminal histories will be considered for employment consistent with applicable law.. This position may be considered a promotional opportunity pursuant to the Colorado Equal Pay for Equal Work Act.. .