Senior Data Engineer

About the Role: We are a fast-growing technology company building scalable, data-driven solutions across multiple domains. Our teams leverage modern pipelines, cloud-native infrastructure, and advanced analytics to deliver reliable, high-quality data at scale.We’re seeking a Data Engineer to design, build, and operate end-to-end data pipelines and platforms. You will collaborate with analytics, ML, and product teams to ingest, transform, and serve data that powers dashboards, reporting, and AI/ML workflows.What You'll Do At CYBLE:Pipeline DevelopmentArchitect and implement ETL/ELT workflows using tools like Apache Airflow, dbt, or equivalentBuild batch and streaming pipelines with Kafka, Spark, Beam, or similar frameworksEnsure reliable ingestion from diverse sources (APIs, databases, logs, message queues)Data Modeling & WarehousingDesign, optimize, and maintain star schemas, data vaults, and dimensional modelsWork with cloud warehouses (Snowflake, BigQuery, Redshift) or on-premise systemsData Quality & GovernanceImplement validation, profiling, and monitoring to ensure data accuracy and completenessEnforce data lineage, schema evolution, and versioning best practicesPlatform OperationsContainerize and deploy pipelines via Docker/Kubernetes or managed servicesBuild CI/CD for data workflows and maintain observability (Prometheus, Grafana, ELK, DataDog)Optimize performance and cost of storage, compute, and network resourcesCollaboration & DocumentationPartner with analytics, ML, and product teams to translate requirements into data solutionsDocument data designs, pipeline configurations, and operational runbooksParticipate in code reviews, capacity planning, and incident responseWhat You’ll Need: 5+ years of professional data engineering experienceProficiency in one or more languages: Python, Java, or ScalaStrong SQL skills and experience with relational databases (PostgreSQL, MySQL)Hands-on experience with at least one orchestration framework (Airflow, Prefect, Dagster)Familiarity with cloud platforms (AWS, GCP, or Azure) and their data servicesExperience with data warehousing solutions (Snowflake, BigQuery, Redshift)Solid understanding of streaming technologies (Apache Kafka, Pub/Sub)Ability to write clean, well-tested code and ETL configurationsComfortable working in Agile/Scrum teams and collaborating cross-functionallyPreferred (Nice-to-Have)Experience with data transformation tools (dbt, Matillion, Fivetran)Knowledge of workflow engines or orchestration beyond ETL (Temporal, Airflow XComs)Exposure to vector databases or embeddings pipelines for AI/ML use casesFamiliarity with LLM integration concepts—prompting, RAG, feature store designContributions to open-source data tools or active participation in data engineering communitiesWhat We OfferImpactful Projects: Build the data foundation for high-growth analytics and AI initiativesCutting-Edge Tech: Work with modern pipelines, cloud services, and real-time streamingProfessional Growth: Access mentorship, training budgets, and conference stipendsApply now to join our Data Engineering team and shape the data backbone that powers our next-generation solutionsIf you like working in an inclusive environment, you want to advance your career quickly, and your opinion is valued, look no further than Cyble, Inc. We are young, hungry, and ready to impact the cyber security landscapeCyble, Inc. takes into consideration an individual’s skillset, experience and location in making final salary determination.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected Veteran status age, or genetics, or any other characteristic protected by law.About Cyble:Cyble is revolutionizing the landscape of cybersecurity intelligence. Founded in 2019, Cyble began as a visionary college project and has quickly transformed into a leading force in proactive cyber threat detection and mitigation, that is now globally significant, with people in 20 countries - Headquartered in Alpharetta, Georgia, and with offices in Australia, Malaysia, Singapore, Dubai, Saudi Arabia and IndiaOur mission is clear: to provide visibility, intelligence and cybersecurity protection using cutting-edge advanced technology, giving enterprises a powerful advantage. We democratize real-time intelligence about cyber threats and vulnerabilities, enabling organizations to take proactive measures and maintain robust cybersecurity. We strive to make the digital world a safer place for everyone.At Cyble, artificial intelligence (AI) and innovation are central to all operations, with a commitment to continuous improvement and excellence in both products and business practices. Cyble values inclusivity, offering team members autonomy and flexibility to balance their professional and personal lives. Cyble fosters a culture where employees voices are heard, contributions are recognized, and everyone is encouraged to be part of something extraordinary.