14 of 14 Remote Presto Jobs

Flexibility is essential to accommodate schedule changes based on customer and team needs. Preferred Qualifications: Experience with big data technologies like: Hadoop, Spark, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers EKS, Diode, CI/CD, and Terraform are a plus Work could possibly require some on-call work. This position is open for direct hires More ❯

to customer sites located in Hawaii. Subject to change based on customer needs. Preferred Qualifications: Experience with big data technologies like: Hadoop, Spark, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers EKS, Diode, CI/CD, and Terraform are a plus Work could possibly require some on-call work. This position is open for direct hires More ❯

time to time. Flexibility is essential to accommodate any changes in the schedule Preferred Qualifications: Experience with big data technologies like: Hadoop, Spark, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers EKS, Diode, CI/CD, and Terraform are a plus Work could possibly require some on-call work. This position is open for direct hires More ❯

years of experience in building production-grade data pipelines and data systems. Strong proficiency in SQL, Python, or Java/Scala, with experience in distributed data frameworks (Apache Spark, Presto, EMR) Experience with modern data platforms (Snowflake, BigQuery, Redshift, Databricks, Synapse) Hands-on skills with streaming technologies (Kafka, Kinesis, Pub/Sub) and real-time data ingestion Knowledge of More ❯

candidates usually have demonstrable experience with technologies in some of these categories: Languages: SQL, Python, Java, R, C#/C++/C Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle DevOps: git, docker, subversion, Kubernetes, Jenkins Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud More ❯

time to time. Flexibility is essential to accommodate any changes in the schedule. Preferred Requirements Experience with big data technologies like: Hadoop, Spark, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers EKS, Diode, CI/CD, and Terraform are a plus Work could possibly require some on-call work. Compensation At IAMUS Consulting, we're building More ❯

AGILE software development methodologies and use of standard software development tool suites Desired Technical Skills Experience with big data technologies like: Hadoop, Spark, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers EKS, Diode, CI/CD, and Terraform are a plus The Benefits Package Wyetech believes in generously supporting employees as they prepare for retirement. The More ❯

and team in place. Preferred Requirements Security+ certification is highly desired. Experience with big data technologies like: Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers, EKS, Diode, CI/CD, and Terraform are a plus. Work could possibly require some on-call work. Compensation At IAMUS Consulting, we're building More ❯

and team in place. Preferred Requirements Security+ certification is highly desired. Experience with big data technologies like: Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers, EKS, Diode, CI/CD, and Terraform are a plus. Work could possibly require some on-call work. Compensation At IAMUS Consulting, we're building More ❯

6+ years of experience in data engineering with large, distributed data systems. Strong SQL expertise with ability to create performant datasets. Hands-on experience with Spark, Hadoop (HDFS, Hive, Presto, PySpark). Proficiency in Python, Scala, or Java. Experience with at least one major MPP or cloud database (Snowflake preferred, Redshift or BigQuery acceptable). Experience with orchestration tools More ❯

engineering strategies Comfort with writing & optimizing SQL queries Nice to have: Experience working with data-pipeline engines (Airflow, Dagster) Experience working with big data query engines (Apache Spark, Trino, Presto) Experience building reliable infrastructure on the Cloud (AWS, preferred, GCP, Azure) or willing to do so. Experience in fault-tolerant infrastructure & real-time system monitoring A genuine interest in More ❯

in Analytics, Data Science, or a related field Fluency in SQL and proficiency in a scripting language like Python or R Experience with distributed data systems (e.g., Redshift, Snowflake, Presto, Hive, Spark) Strong foundation in statistical methods, experimentation, and/or forecasting A track record of working cross-functionally and communicating effectively with both technical and non-technical partners More ❯

of ETL processes and tools for data integration and transformation Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams Experience with distributed query engines (hive/presto/bigquery) Exposure to DevOps tools including JIRA, Git, Docker, and Alluxio is a plus Benefits : Comprehensive healthcare with medical, dental, and vision options, and 100%-paid life & disability More ❯

data products that allow our stakeholders to easily leverage data in an effective manner. As part of this team, you will work on diverse data technologies such as Spark, Presto, Flink, Kafka and others to build insightful, scalable and robust data pipelines; write ETL jobs to collect and aggregate data; and build high quality data models that describe the … preferred) with at least 2 years of data engineering experience Advanced level SQL skills in a complex data environment Experienced in engineering data pipelines using big data technologies (Spark, Presto, Flink etc.) on medium to large scale data sets Comfortable working cross functionally with multiple types of stakeholders groups Able to successfully lead large, complex systems design and implementation More ❯