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Senior Data Engineer

KforceHialeah, FLL7 ManagerSeptember 15th, 2026
Overview In this role you will lead the data engineering team to drive strategic data initiatives and ensure scalable, secure data solutions. You will collaborate with stakeholders to translate business needs into technical requirements and guide architectural decisions. You will champion modern data practices, maintain comprehensive documentation, and manage technical debt while aligning with long-term organizational goals. Expect a collaborative environment focused on impact, integrity, and measurable data-driven outcomes. ResponsibilitiesLead and manage the data engineering team with project planning, resource allocation, and performance managementDevelop and enforce data engineering standards, processes, and best practicesCollaborate with business leaders, data scientists, and IT to translate data needs into technical requirementsEnsure data solutions are scalable and secure, aligned with long-term organizational goalsDrive adoption of new technologies, tools, and methodologies to improve efficiency and scalabilityOversee data documentation including architecture diagrams and technical specificationsManage technical debt and modernize legacy systems for maintainabilityProvide technical leadership in resolving complex data issuesLead with a collaborative spirit to achieve team goalsUphold integrity and ethical behavior within the organization Key requirements7-10 years of experience in data engineering with leadership and project managementAbility to influence senior leaders with data-driven insightsExpertise in solving complex, high-stakes problems with innovative solutionsExperience with data pipeline orchestration tools such as Apache Airflow or LuigiExperience with data integration platforms such as Apache NiFi or AWS GlueStrong leadership and cross-functional project management experienceExpertise in cloud data platforms (AWS) and big data ecosystemsProficiency in advanced data modeling for data warehouses, data lakes, and data martsKnowledge of data governance, data cataloging, lineage, and qualityExperience with enterprise data management frameworks like MDM and metadata managementDemonstrates resilience and problem-solving under adversityleadershipcross-functional collaborationeffective communicationApache AirflowLuigiApache NiFi