Adobe—Software Development Engineer 2

Job description

Description: Role Summary We are seeking a Data Engineer / Data Migration / Integration Engineer to help build, develop, and support scalable data platforms, migration solutions, and integration frameworks. These systems enable business-critical analytics, operational processes, and AI-powered capabilities. In this role you will work alongside senior engineers, growing your skills across data engineering, integration engineering, and cloud technologies. Key Responsibilities - Develop, test, and deploy data pipelines using Python, Java, and PySpark, with guidance from senior engineers. - Support batch and micro-batch data processing solutions, and gain exposure to real-time processing. - Contribute to ETL/ELT frameworks and reusable integration components. - Assist with data migration and modernization initiatives across cloud and hybrid environments. - Support and maintain REST API, event-driven, and Kafka-based integrations. - Work with AWS and Azure data services to build and operate cloud-native data solutions. - Apply data quality, monitoring, and governance practices, and help troubleshoot and resolve pipeline issues. - Write clear technical documentation and participate in code reviews, design discussions, and team knowledge sharing. - Help build secure, reliable data foundations that power analytics and AI-enabled products. Technical Skills & Qualifications Required Qualifications - Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. - 4 + years of experience in Data Engineering, Data Migration, Integration Engineering, or related roles (strong internship or project experience considered). - Solid programming skills in Python, Java, and SQL. - Hands-on experience with PySpark and Spark SQL, and an understanding of distributed data processing concepts. - Working knowledge of Databricks or a similar big-data platform. - Exposure to AWS and/or Azure data services. - Understanding of ETL/ELT concepts, data modeling basics, and relational databases. - Familiarity with REST APIs, Git/GitHub, and CI/CD fundamentals. Preferred Qualifications - Exposure to Snowflake, Delta Lake, Airflow, Kafka, SnapLogic, ADLS, or SQL Server. - Familiarity with Salesforce (SFDC) or Microsoft Dynamics 365 (D365). - Basic experience with workflow orchestration tools such as Airflow or Tidal. - Scala knowledge. - Interest in AI and Generative AI, and in using AI tools to improve developer productivity. Core Technology Stack Python, Java, SQL, PySpark, Spark SQL, Databricks, Snowflake, Airflow or Tidal, Kafka, REST APIs, AWS, Azure, GitHub, Delta Lake, SnapLogic, ADLS, SQL Server, AI-assisted Development AI & Future-Ready Engineering Expectations - Use AI-assisted development tools to speed up coding, testing, debugging, and documentation. - Review and validate AI-generated outputs for correctness, security, and maintainability, seeking guidance from senior engineers as needed. - Build foundational understanding of LLMs, Retrieval-Augmented Generation (RAG), embeddings, and AI data pipelines. - Follow responsible AI practices and team standards. Success Indicators - Deliver accurate, well-tested work on assigned tasks with limited rework. - Own small to medium-sized tasks and features from development through deployment, with support from senior team members. - Learn quickly and steadily build independence in technical design and troubleshooting. - Contribute to improvements in automation, reliability, and operational efficiency. - Communicate progress, risks, and blockers clearly and on time. About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com. AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience. Skills: python, java, sql, pyspark, spark sql, databricks, aws, azure, etl, elt, rest apis, data migration, data integration, kafka, data quality, data governance, technical documentation, code review, git, github, ci/cd, snowflake, delta lake, airflow, tidal, snaplogic, adls, sql server, salesforce, microsoft dynamics 365, scala, ai-assisted development, llm, retrieval-augmented generation, embeddings, workflow orchestration, troubleshooting, team knowledge sharing