Data Engineer Jobs with Salary ≥ 200k

Summary: Candidates should have experience in building production data pipelines and operating data streaming solutions on Kubernetes. Familiarity with cybersecurity principles and excellent problem-solving sk

Skills: data engineering, etl, elt, aws, kubernetes, kafka, redpanda, terraform, cybersecurity, api security, container security, problem-solving, communication, machine learning, generative ai, infrastructure-as-code

Summary: A minimum of 8 years of industry experience in data infrastructure/data engineering is required. Familiarity with AWS services and strong fundamentals in data structures and algorithms are also essent

Skills: data infrastructure, data engineering, python, sql, dbt, snowflake, infrastructure as code, cdk, terraform, aws, kafka, hadoop, spark, nosql, ci/cd, machine learning, business intelligence

Summary: Candidates should have a minimum of 5 years of experience in software engineering or data engineering, with strong programming skills in Python, SQL, and Java. Familiarity with modern data lakehouse t

Skills: data engineering, etl processes, data pipelines, cloud technologies, python, sql, java, data streaming, apache kafka, aws kinesis, apache flink, apache spark, devsecops, agile, machine learning, data warehousing

Summary: Candidates must have significant experience in software engineering, particularly with Golang and Python, and a strong understanding of data architecture. A relevant degree and extensive experience in

Skills: golang, python, api design, google kubernetes engine, google cloud platform, microservices, event-driven architecture, ci/cd, infrastructure as code, data architecture, observability, apache kafka, sql, git, machine learning, generative ai

Summary: Candidates should have over 5 years of experience in building data infrastructure and proven skills in ETL/ELT workflows. Expertise in SQL and familiarity with cloud-based architectures, particularly

Skills: data engineering, etl, data pipelines, sql, python, aws, data modeling, cloud architecture, ci/cd, monitoring, data integrity, data quality, automation, infrastructure-as-code, analytics, business intelligence

Summary: Candidates must have significant knowledge of the crypto industry and at least 4 years of hands-on experience with data modeling, schema design, and data warehousing. Proficiency in programming langua

Skills: data architecture, data engineering, data modeling, schema design, data operations, data warehousing, typescript, go, python, sql, postgresql, etl solutions, blockchain, devops, solana, microservices, automation

Summary: Candidates should have a bachelor's degree in Computer Science or a related field and at least 5 years of experience in building and maintaining data-intensive applications. Proficiency in modern data

Skills: data engineering, data pipelines, data modeling, python, java, scala, sql, spark, airflow, cloud platforms, databricks, data visualization, collaboration, automation, mentoring, troubleshooting

Summary: 15+ years of experience in data engineering and analytics platforms, including 7+ years in senior leadership roles. Expertise in cloud data warehouses and experience supporting AI/ML teams through adv

Skills: data engineering, enterprise integrations, analytics platforms, technical leadership, architecture design, pipeline development, sales systems, marketing systems, finance systems, ai/ml support, cloud data warehouses, orchestration tools, integration platforms, real-time pipelines, sql, python

Summary: 15+ years of experience in data engineering and analytics platforms, with 7+ years in senior leadership roles. Proven ability to manage global teams and deliver scalable solutions in high-growth envir

Skills: data engineering, enterprise integrations, analytics platforms, sales tech stacks, marketing tech stacks, finance systems, ai/ml support, data infrastructure, cloud data warehouses, orchestration tools, integration platforms, data ingestion, sql, python, cloud platforms, data modeling

Summary: Candidates should have 4+ years of professional experience as a data engineer, with expertise in SQL and dbt. Familiarity with workflow orchestration tools like Airflow and strong problem-solving skil

Skills: sql, dbt, workflow orchestration tools, airflow, data quality, data pipelines, analytics, collaboration, problem-solving, ai, automation, communication, etl, data models, data documentation, metrics design

Summary: Candidates must have mastery in 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 re

Skills: java, python, ruby on rails, spring mvc, node.js, sql, git, html, css, javascript, angularjs, reactjs, linux, ci/cd, microservices, restful web services

Summary: Candidates should have a Bachelor’s or Master’s degree in a related field and at least 10 years of engineering experience, including 3 years of direct people management. Preferred qualifications inclu

Skills: data engineering, data platforms, ingestion frameworks, transformation tools, serving layers, leadership, team building, operational processes, metrics, analytics, ai/ml, security, governance, compliance, problem-solving, cost transparency

Summary: Candidates should have 15+ years of experience in building and scaling data teams, with a strong focus on data strategy and architecture. A graduate degree in Computer Science or a similar field is re

Skills: data strategy, infrastructure planning, architecture, data products, microservices, restful apis, devops, ci/cd, data observability, monitoring, lineage, bi tools, tableau, amplitude, redash, data science, machine learning

Summary: Candidates should have 8+ years of experience in data engineering with a strong focus on scalability and hands-on engineering expertise. Familiarity with GCP, BigQuery, and experience in the healthcar

Skills: data engineering, data platform operations, data storage systems, cloud computing, data modeling, batch data processing, problem-solving, collaboration, communication, gcp, bigquery, dbt, dagster, healthcare domain, medical data