Data Engineering Jobs with Salary ≥ 80k

Summary: Candidates should have 10+ years of experience in data engineering or related fields, with strong technical leadership skills. Proficiency in Python, SQL, and experience with cloud data warehouses, particularly BigQuery, is essential.

Skills: data engineering, data platforms, technical leadership, python, sql, cloud data warehouses, bigquery, data quality, data governance, mentoring, architecture, analytics engineering, data systems, team leadership, product strategy, customer impact

Summary: Candidates should have over 10 years of experience in data engineering or related fields, with significant technical leadership experience. Proficiency in Python and SQL, along with experience in cloud data warehouses, particularly BigQuery, is essential.

Skills: data engineering, data platforms, technical leadership, python, sql, cloud data warehouses, bigquery, data quality, data governance, team leadership, architectural decisions, product strategy, customer impact, data systems, mentoring, analytical models

Summary: Candidates should have over 10 years of experience in data engineering or related fields, with significant technical leadership experience. Proficiency in Python, SQL, and modern cloud data warehouses, particularly BigQuery, is essential.

Skills: data engineering, data platforms, technical leadership, python, sql, cloud data warehouses, bigquery, data quality, data governance, team leadership, architectural decisions, data systems, mentoring, product strategy, analytics engineering, healthcare data

Summary: Candidates should have 10+ years of experience in data engineering or related fields, with significant technical leadership experience. Proficiency in Python, SQL, and experience with cloud data warehouses, particularly BigQuery, is essential.

Skills: data engineering, data platforms, technical leadership, python, sql, cloud data warehouses, bigquery, data quality, data governance, data systems, analytics engineering, team leadership, mentoring, product strategy, architectural decisions, debugging

Summary: Candidates should have over 5 years of experience in engineering management and a proven ability to scale teams and systems. Familiarity with Snowflake, DBT, or Sigma is required, along with experience in building modern data platforms.

Skills: data engineering, team leadership, data governance, data modeling, analytics, snowflake, dbt, python, typescript, cloud computing, data quality, event-driven architecture, collaboration, process improvement, architecture design, performance optimization

Summary: Candidates should have 6 to 9 years of experience in marketing analytics or data engineering, with hands-on experience in building data pipelines into BigQuery. A deep understanding of marketing and revenue data across various systems is essential.

Skills: marketing analytics, data engineering, bigquery, google cloud platform, data pipelines, attribution, funnel modeling, performance insight, data integrity, documentation, dashboards, automation, analytics tooling, client retention, revenue accountability, data models

Summary: A Bachelor's degree and 5+ years of related experience are required. Candidates should have knowledge of ETL processes, SQL, and data governance.

Skills: data engineering, production support, agile software development, scrum, technical support, etl, sql, data governance, data quality, master data management, business intelligence, collaboration, team building, conflict management, presentation skills, negotiation skills