Data Engineering Jobs

Summary: A strong background in both data and software engineering with at least 2 years of relevant experience is required. Proficiency in programming languages and excellent debugging skills are essential.

Skills: data engineering, software engineering, python, sql, debugging, technical communication, retl tools, bigquery sql, airflow, dbt, django orm, product analytics, medallion architecture, technical writing, mentoring

Summary: Candidates must be pursuing a Bachelor's or Master's degree in an information technology field with a minimum GPA of 3.0. They should be legally eligible to work in the U.S. and plan to seek full-time employment between December 2026 and September 2027.

Skills: data engineering, data pipelines, agile framework, predictive analytics, data insights, fraud detection, risk assessment, customer segmentation, operational efficiency, collaboration, problem solving, presentation skills, data management, technology, insurance, data science

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, including leadership roles. Deep experience with healthcare datasets and strong SQL skills are essential.

Skills: data engineering, healthcare datasets, sql, data modeling, elt, automation, incident management, communication, stakeholder management, interoperability, python, aws, snowflake, dbt, airflow, performance metrics

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