Data Engineer Jobs with Salary ≥ 200k
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AcuityMD
Director or VP of Data Engineering
Company: AcuityMD, a MedTech intelligence platform guiding market discovery and growth.
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
AcuityMD
Director or VP of Data Engineering
Company: AcuityMD, a MedTech intelligence platform guiding market discovery and growth.
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
AcuityMD
Director or VP of Data Engineering
Company: AcuityMD, a MedTech intelligence platform guiding market discovery and growth.
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
AcuityMD
Director or VP of Data Engineering
Company: AcuityMD, a MedTech intelligence platform guiding market discovery and growth.
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
Built Technologies
Sr. Data Engineering Manager
Company: Connect and Simplify Doing Business in Real Estate
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
DoubleVerify
Staff AI Data Engineer - Rockerbox
Company: DoubleVerify powers performance for the world's largest brands, marketplaces and publishers.
Summary: Candidates should have deep expertise in SQL and strong Python skills, along with proficiency in DuckDB and cloud storage experience. Leadership experience in architecture decisions and mentoring teams is also required.
Skills: sql, python, duckdb, parquet, arrow, kubernetes, cloud storage, ci/cd, data pipelines, data workflows, data engineering, data versioning, embedded analytics, ml workflows, vector databases
Leidos
Principal Software Data Engineer
Company: Leidos is an innovation company rapidly addressing the world’s most vexing challenges in national security and health.
Summary: Candidates must have a Bachelor's degree with 12+ years of experience or a Master's degree with 10+ years of experience, along with an active Secret clearance. Experience with AI/ML applications and the ability to analyze large data sets is also required.
Skills: big data systems, etl pipelines, data lakes, ai/ml applications, data access control, documentation, apache spark, delta lake, apache airflow, kafka, ai/ml algorithm development, devops, digital engineering, operational support, medallion architecture