Pennsylvania Staffing
Senior Data Engineer
We are seeking a seasoned and visionary Senior Data Engineer to lead data modernization efforts across enterprise-wide applications. This role is pivotal in transforming legacy systems into scalable, cloud-native solutions that drive innovation and efficiency for a Fortune 500 manufacturing organization. Responsibilities include: Architecting and implementing modern data platforms using AWS, including Aurora RDS, PostgreSQL, and other cloud-native services. Leading the migration of legacy data systems to modern architectures, ensuring minimal disruption and maximum performance. Designing and optimizing scalable data pipelines and ETL processes to support enterprise-wide analytics and reporting. Collaborating with cross-functional teams to align data strategies with business goals and modernization initiatives. Ensuring robust data governance, quality, and security across all systems. Driving adoption of Power BI for enterprise reporting and dashboarding. Mentoring and guiding data engineering teams, fostering a culture of innovation and excellence. Evaluating emerging technologies and recommending improvements to existing data infrastructure. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com. Skills and requirements include: Minimum 7 years of experience in data engineering, with a strong background in enterprise-scale application modernization. Deep expertise in AWS, especially Aurora RDS, PostgreSQL, and related services. Proficiency in SQL, Python, and modern ETL frameworks. Hands-on experience with Power BI and other BI tools. Strong understanding of data modeling, warehousing, and performance optimization. Proven track record of leading large-scale data transformation projects. Excellent communication, leadership, and stakeholder management skills. Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Experience in the manufacturing sector or with industrial data systems. Familiarity with data lake architectures, real-time data processing, and streaming technologies. AWS certifications or equivalent credentials in cloud and data engineering.
We are seeking a seasoned and visionary Senior Data Engineer to lead data modernization efforts across enterprise-wide applications. This role is pivotal in transforming legacy systems into scalable, cloud-native solutions that drive innovation and efficiency for a Fortune 500 manufacturing organization. Responsibilities include: Architecting and implementing modern data platforms using AWS, including Aurora RDS, PostgreSQL, and other cloud-native services. Leading the migration of legacy data systems to modern architectures, ensuring minimal disruption and maximum performance. Designing and optimizing scalable data pipelines and ETL processes to support enterprise-wide analytics and reporting. Collaborating with cross-functional teams to align data strategies with business goals and modernization initiatives. Ensuring robust data governance, quality, and security across all systems. Driving adoption of Power BI for enterprise reporting and dashboarding. Mentoring and guiding data engineering teams, fostering a culture of innovation and excellence. Evaluating emerging technologies and recommending improvements to existing data infrastructure. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com. Skills and requirements include: Minimum 7 years of experience in data engineering, with a strong background in enterprise-scale application modernization. Deep expertise in AWS, especially Aurora RDS, PostgreSQL, and related services. Proficiency in SQL, Python, and modern ETL frameworks. Hands-on experience with Power BI and other BI tools. Strong understanding of data modeling, warehousing, and performance optimization. Proven track record of leading large-scale data transformation projects. Excellent communication, leadership, and stakeholder management skills. Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Experience in the manufacturing sector or with industrial data systems. Familiarity with data lake architectures, real-time data processing, and streaming technologies. AWS certifications or equivalent credentials in cloud and data engineering.