Data Engineering Jobs with Salary ≥ 80k

Summary: 5+ years of experience in technical project management or data coordination is required. Strong understanding of media data workflows and exceptional communication skills are essential.

Skills: technical project management, data coordination, vendor management, campaign reporting, communication skills, asana, jira, cross-functional coordination, data workflows, attention to detail, process improvement, data governance, hcp media, pharmaceutical marketing, agile certification, pmp certification

Summary: Candidates should have 8+ years of experience in data engineering, including 3+ years in a leadership role. Proven expertise in relevant technologies and a strong background in collaborating with analytics and BI teams is essential.

Skills: data engineering, leadership, airflow, dbt, python, kafka streaming, snowflake, api-based data ingestion, real-time streaming, data pipeline orchestration, data integration, analytics, ai assistance bot integration, devops, ci/cd practices, data governance

Summary: Candidates should have 7+ years of data engineering experience, particularly in healthcare datasets. Strong SQL skills and experience with modern data tools like dbt, Airflow, and Snowflake are essential.

Skills: data engineering, healthcare datasets, sql, data modeling, elt pipelines, automation, incident management, root-cause analysis, communication, stakeholder management, mentoring, data quality, python, airflow, snowflake, dbt

Summary: 3+ years of product management experience in technical domains such as platform engineering or developer tooling is required. Hands-on experience with big data technologies and a strong understanding of data infrastructure and orchestration frameworks are essential.

Skills: product management, data engineering, data pipelines, data warehousing, stakeholder management, agile methodologies, big data technologies, data infrastructure, orchestration frameworks, data streaming technologies, user stories, ai tools, collaboration, communication, prioritization, feedback gathering

Summary: Candidates must have a mastery of an object-oriented programming language, preferably Java, and a modern scripting language, preferably Python. A bachelor's degree or equivalent in a related field is required, along with 5-7 years of relevant work experience.

Skills: software engineering, data engineering, leadership, mentoring, collaboration, java, python, sql, automation, cloud technologies, vendor management, agile methodologies, problem solving, system monitoring, technical escalation, data systems

Summary: Candidates should have over 10 years of experience in senior engineering roles, with at least 5 years as a technical lead. Experience with compliance, particularly in FedRAMP or DoD environments, is also required.

Skills: technical leadership, cross-functional collaboration, mentorship, strategic impact, compliance experience

Summary: Candidates should have a Bachelor's or Master's degree in Computer Science or a related field, with 6-8 years of experience in Data Engineering. A minimum of 4 years managing data or software teams an

Skills: data engineering, team management, project delivery, technical guidance, data quality, data architecture, cloud technologies, python, restful apis, microservices, agile methodologies, data processing, innovation, mentoring, analytics, data models

Summary: Candidates should have 3+ years of experience in engineering management or leadership roles, particularly in data engineering or analytics. Strong communication skills and a solid understanding of cyb

Skills: data engineering, analytics, cybersecurity, python, database technologies, project management, team leadership, communication, collaboration, problem solving, continuous improvement, web harvesting, data processing, client relations, technical concepts

Summary: Candidates should have 5+ years of experience in building and maintaining scalable data pipelines and 3+ years as a data engineer with experience in tools like Airflow. Proficiency in SQL, Python, and

Skills: data architecture, data modeling, pipeline engineering, data integration, performance optimization, data quality, governance, collaboration, sql, python, cloud platforms, etl processes, data governance, analytical sql, big data technologies, software engineering mindset, communication skills