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Summary Empower business to transform analytics with SAP SAC, Datasphere, BDC, and Generative AI. As a Junior SAP SAC Integration Engineer, you will support the design and development of SAP Analytics models and dashboards that provide meaningful business insights. Working under guidance from senior team members, you will help integrate SAC with core business systems, SAP Datasphere, and cloud platforms to contribute to a unified analytics ecosystem that enables faster, data‑driven decisions. This role is well‑suited for Data Engineers with 2+ years of experience, with a strong interest in data analytics, system integration, GenAI, and digital transformation. In this role, you will work on building scalable integration components with BDC (SAP Business Data Cloud) and BTP Integration Suite (Business Technology Platform) to support agility and innovation. Preferred candidates will have hands on experience with SAP ERP, a strong foundation in coding and scripting, and the ability to develop new skills as technology evolves. If you’re looking to grow your skills while contributing to data projects that deliver measurable business value, this opportunity offers a strong foundation to begin shaping the future of enterprise technology. #LI-JP1 Responsibilities Develop data solutions that are flexible, extensible, elastic, secure and reliable at large scale. Work with Lead Data Engineer to provide guidance and direction to project teams ensuring compliance with coding standards and best practices. Collaborate with Data Governance team to capture and manage meta data, and implement data quality rules. Building and managing data pipelines, data products, integrations and promoting production. Develop Application Integrations, APIs and Microservices using hybrid cloud architecture. Continuously learn and be at the leading edge of Data/Application Integration, Cloud, Containerization, and other industry trends. Work with stakeholders including product, data and business teams to assist with data-related technical issues and support their data infrastructure needs. Follow Cyber security guidelines and polices to monitor the company's data security and privacy. Build and maintain batch data pipelines for structured and semi-structured data · Support ingestion and preprocessing of unstructured data. Implement basic data quality validations (schema checks, null checks). Assist in preparing AI-ready datasets for analytics, AI/ML and GenAI use-cases. Support implementation of data contracts through schema validation and data checks. Knowledge, Skills and Abilities Practical experience in traditional and cloud data management components (MS SQL, RDS, Athena, or similar). Practical experience in metadata driven ingestion framework, building data pipelines and data sets. Working-level familiarity with DevOps and Agile methodologies. Strong analytical skills. Practical understanding of cloud security policies and concepts. · Exposure to data governance and quality tools. Experience with data integration, ETL/ELT orchestration, and application integration using APIs, messaging, or service-based architectures. Basic understanding of AI/ML data requirements (training vs inference datasets), structured, semi-structured and unstructured data processing. Exposure to streaming concepts, data parsing, text processing. Familiarity with data quality and observability concepts. Education, Experience and Certifications Bachelor of Science Degree in MIS or Computer Science/Engineering (or similar) is required. Minimum of 2 years of Data Engineering experience. Experience developing microservices, serverless components, or distributed data processing solutions. Hands-on experience with at least one data integration, data pipelines or application integration platform. Practical scripting or programming experience across languages applicable to data engineering workloads. Cloud platform certification is preferred. Physical Requirements Willingness to travel if necessary The New York Power Authority is committed to providing fair, competitive, and market-informed compensation. The estimated salary range for this position is: $102,000- $128,000 . The salary offered will be determined based on the successful candidates’ relevant experience, knowledge, skills, and abilities. The New York Power Authority and Canal Corporation believes that diversity, equity, and inclusion drive our success, and we encourage women, people of color, LGBTQIA+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents and veterans to apply. As an equal opportunity employer, NYPA/Canals is committed to building inclusive, innovative work environments with employees who reflect communities across New York and enthusiastically serve them. We proudly celebrate diversity and do not discriminate based on race/color, creed/religion, national origin, citizenship or immigration status, age, disability, military status, gender/sex, sexual orientation, gender identity/expression, pregnancy and related conditions, familial/marital status, domestic violence victim status, predisposing genetic characteristics, arrest/criminal conviction record or any other category protected by law. NYPA/Canals will also provide reasonable accommodations during the hiring process related to candidates’ disabilities, pregnancy-related conditions, religious observances/practices and/or domestic violence concerns. To request an accommodation, please email accessibility@nypa.gov .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.