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Data & Integration Engineer, Entry Level
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Data & Integration Engineer, Entry Level
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Jobright.ai Data & Integration Engineer, Entry Level
2 days ago Be among the first 25 applicants Join to apply for the
Data & Integration Engineer, Entry Level
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Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Panasonic Connect North America is seeking a highly motivated and detail-oriented Data & Integration Engineer to support their cloud-based data and automation initiatives. The role involves developing, maintaining, and troubleshooting scalable data workflows and integrations to support business operations and analytics objectives. Responsibilities: Assist in designing and building automated workflows using Azure Logic Apps to streamline business processes. Support data ingestion, transformation, and orchestration using Azure Synapse pipelines. Write and maintain Python scripts for data manipulation, integration, and automation. Monitor, troubleshoot, and optimize data pipelines and integration workflows. Create and maintain technical documentation to support maintainability and team knowledge sharing. Evaluate alternative technical approaches and recommend optimal solutions. Work across technical and non-technical teams to translate business requirements into technical solutions. Thrive in a Ability to grasp technical system processing and data flow quickly. Sound decision-making skills based on available information with strong organizational and decision-making skills. Work closely with internal teams to support day-to-day application operations across cloud environments. Collaborate with technical leads on troubleshooting, new design discussions, and solutioning. Ensure smooth integration and data flow across enterprise applications. Understand transactional data requirements and ensure systems meet those needs. Demonstrate strong problem-solving, communication, and teamwork capabilities. Qualifications: Required: Bachelors degree in computer science, IT, Data Engineering, or a related field (or equivalent practical experience). 2-4 years of experience in data architecture components: integration, data management, and data consumption. Hands-on experience with Azure Logic Apps and cloud integration concepts. Familiarity with Azure Synapse Analytics and cloud-based data platforms. Exposure to Python scripting for automation and data handling. Basic knowledge of CI/CD practices using Azure DevOps or GitHub Actions. Eagerness to learn new tools and adopt industry best practices. Strong problem-solving skills with a proactive mindset. Familiarity with batch and real-time data processing. Self-motivated with the ability to manage multiple projects under tight deadlines. Agile and adaptable to frequent changes in priorities and requirements. Strong collaboration skills in team-oriented environments. Ability to support organizational and process change in complex enterprise environments. Ability to grasp technical system processing and data flow quickly. Sound decision-making skills based on available information. Capable of creating and executing communication plans with cross-functional stakeholders. Strong verbal and written communication skills, including the ability to interact with technical and non-technical audiences. Travel Requirement: 10% travel to various locations in North America to meet with IT team or onsite for project execution. Preferred: 2-4 years of Agile development experience is a plus. Experience with Azure Databricks is a plus. Microsoft Certified: Azure Data Engineer Associate is a plus. Company: Panasonic Connect is a B2B company offering device hardware, software, and professional services for the connected enterprise. Founded in , headquartered in Newark, New Jersey, US, team size 1001-5000 employees, currently Late Stage. Seniority level
Seniority level
Entry level Employment type
Employment type
Full-time Job function
Industries
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Join to apply for the
Data & Integration Engineer, Entry Level
role at
Jobright.ai Data & Integration Engineer, Entry Level
2 days ago Be among the first 25 applicants Join to apply for the
Data & Integration Engineer, Entry Level
role at
Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Panasonic Connect North America is seeking a highly motivated and detail-oriented Data & Integration Engineer to support their cloud-based data and automation initiatives. The role involves developing, maintaining, and troubleshooting scalable data workflows and integrations to support business operations and analytics objectives. Responsibilities: Assist in designing and building automated workflows using Azure Logic Apps to streamline business processes. Support data ingestion, transformation, and orchestration using Azure Synapse pipelines. Write and maintain Python scripts for data manipulation, integration, and automation. Monitor, troubleshoot, and optimize data pipelines and integration workflows. Create and maintain technical documentation to support maintainability and team knowledge sharing. Evaluate alternative technical approaches and recommend optimal solutions. Work across technical and non-technical teams to translate business requirements into technical solutions. Thrive in a Ability to grasp technical system processing and data flow quickly. Sound decision-making skills based on available information with strong organizational and decision-making skills. Work closely with internal teams to support day-to-day application operations across cloud environments. Collaborate with technical leads on troubleshooting, new design discussions, and solutioning. Ensure smooth integration and data flow across enterprise applications. Understand transactional data requirements and ensure systems meet those needs. Demonstrate strong problem-solving, communication, and teamwork capabilities. Qualifications: Required: Bachelors degree in computer science, IT, Data Engineering, or a related field (or equivalent practical experience). 2-4 years of experience in data architecture components: integration, data management, and data consumption. Hands-on experience with Azure Logic Apps and cloud integration concepts. Familiarity with Azure Synapse Analytics and cloud-based data platforms. Exposure to Python scripting for automation and data handling. Basic knowledge of CI/CD practices using Azure DevOps or GitHub Actions. Eagerness to learn new tools and adopt industry best practices. Strong problem-solving skills with a proactive mindset. Familiarity with batch and real-time data processing. Self-motivated with the ability to manage multiple projects under tight deadlines. Agile and adaptable to frequent changes in priorities and requirements. Strong collaboration skills in team-oriented environments. Ability to support organizational and process change in complex enterprise environments. Ability to grasp technical system processing and data flow quickly. Sound decision-making skills based on available information. Capable of creating and executing communication plans with cross-functional stakeholders. Strong verbal and written communication skills, including the ability to interact with technical and non-technical audiences. Travel Requirement: 10% travel to various locations in North America to meet with IT team or onsite for project execution. Preferred: 2-4 years of Agile development experience is a plus. Experience with Azure Databricks is a plus. Microsoft Certified: Azure Data Engineer Associate is a plus. Company: Panasonic Connect is a B2B company offering device hardware, software, and professional services for the connected enterprise. Founded in , headquartered in Newark, New Jersey, US, team size 1001-5000 employees, currently Late Stage. Seniority level
Seniority level
Entry level Employment type
Employment type
Full-time Job function
Industries
Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Integration Engineer jobs in
Newark, NJ . New York, NY $160,000.00-$160,000.00 6 days ago Software Engineer, Infrastructure, Early Career
New York, NY $126,000.00-$170,000.00 11 hours ago New York, NY $180,000.00-$280,000.00 3 days ago New York, NY $56.25-$137,000.00 5 days ago New York, NY $130,000.00-$180,000.00 7 months ago New York, NY $70,000.00-$150,000.00 3 days ago New York, NY $99,500.00-$200,000.00 2 weeks ago New York, NY $120,000.00-$180,000.00 5 months ago Want to work with us, but don't see the right job listed?
New York, NY $140,000.00-$200,000.00 3 weeks ago New York, NY $125,000.00-$175,000.00 2 weeks ago Software Engineer, AI Intern (Summer 2026)
New York, NY $140,000.00-$140,000.00 2 months ago New York, NY $150,000.00-$283,000.00 4 days ago New York, NY $163,200.00-$223,200.00 1 week ago New York, NY $100,000.00-$150,000.00 6 days ago Software Engineer, AI Intern (Winter 2026)
New York, NY $130,000.00-$240,000.00 2 weeks ago New York, NY $235,000.00-$255,000.00 1 week ago New York, NY $120,000.00-$140,000.00 1 month ago New York, NY $150,000.00-$230,000.00 3 days ago New York, NY $190,000.00-$250,000.00 2 weeks ago New York, NY $120,000.00-$220,000.00 2 months ago New York, NY $145,000.00-$260,000.00 9 months ago Backend Software Engineer, CloudKitchens - New York City
New York, NY $108,000.00-$135,000.00 1 week ago New York, NY $165,000.00-$165,000.00 1 year ago New York, NY $140,000.00-$170,000.00 3 months ago New York, NY $140,000.00-$200,000.00 1 month ago New York, NY $100,000.00-$200,000.00 7 months ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr