13 of 13 Remote Amazon Athena Jobs

workload management Expert SQL knowledge and experience working with a variety of databases Experience using the following software/tools: Big Data tools: e.g. Hadoop, Spark, Kafka, ElasticSearch AWS: Athena, RDB, AWS credentials from Cloud Practitioner to Solutions Architect Data Lakes: e.g. Delta Lake, Apache Hudi, Apache Iceberg Distributed SQL interfaces: e.g. Apache Hive, Presto/Trino, Spark Data More ❯

Hands-on experience with cloud platforms (preferably AWS or Snowflake) and ETL/ELT orchestration tools (e.g. Airflow, dbt). Desirable Skills Familiarity with tools such as MongoDB , Glue , Athena , and React . Experience in API development and working with modern data infrastructure. Ability to work independently, solve complex problems, and contribute ideas proactively. Working Environment Hybrid working model More ❯

Hands-on experience with cloud platforms (preferably AWS or Snowflake) and ETL/ELT orchestration tools (e.g. Airflow, dbt). Desirable Skills Familiarity with tools such as MongoDB , Glue , Athena , and React . Experience in API development and working with modern data infrastructure. Ability to work independently, solve complex problems, and contribute ideas proactively. Working Environment Hybrid working model More ❯

and PySpark for data processing and automation. Strong command of SQL for data querying, transformation, and performance tuning. Deep experience with cloud platforms , preferably AWS (e.g., S3, Glue, Redshift, Athena, EMR, Lambda). Experience with Azure or GCP is a plus. Experience building and managing data lakes and data warehouses. Strong understanding of distributed systems and big data processing. More ❯

and PySpark for data processing and automation. Strong command of SQL for data querying, transformation, and performance tuning. Deep experience with cloud platforms , preferably AWS (e.g., S3, Glue, Redshift, Athena, EMR, Lambda). Experience with Azure or GCP is a plus. Experience building and managing data lakes and data warehouses. Strong understanding of distributed systems and big data processing. More ❯

and PySpark for data processing and automation. Strong command of SQL for data querying, transformation, and performance tuning. Deep experience with cloud platforms , preferably AWS (e.g., S3, Glue, Redshift, Athena, EMR, Lambda). Experience with Azure or GCP is a plus. Experience building and managing data lakes and data warehouses. Strong understanding of distributed systems and big data processing. More ❯

helping to establish telemetry standards, efficient usage patterns, and scalable platform abstractions. Ability to make forward-looking technical decisions and lead others through ambiguity. Familiarity with ClickHouse, Grafana Loki, Athena, or equivalent systems for log and metrics querying. Contributions to open-source observability tools or communities. Experience building cost visibility or FinOps tooling for cloud compute and telemetry pipelines. More ❯

Top Secret clearance Desired Skills: Two or more of the below: - Design, build, and maintain AWS infrastructure including but not limited to EC2, Lambdas, S3, SNS, SQS, Event Router, Athena, and Step Functions using Terraform - Understanding of AWS networking principles to include VPCs, NATs, IP Gateway. - Develop and manage Gitlab CI/CD pipelines to automate deployment processes - Collaborate More ❯

features and ensuring high-fidelity cloud platform emulation to help developers test locally with speed and confidence. What you will be working on/responsible for Ensure Snowflake, Redshift, Athena, Glue, and future emulators are kept up to date with the latest syntax, behaviors, and APIs. Identify and resolve bugs, edge cases, and inconsistencies across emulated services. Maintain robust … including SQL engines, query planning, storage layers, indexing, and SQL parsing/ASTs, with experience developing database features. Hands-on experience with cloud data platforms such as Snowflake, Redshift, Athena, or BigQuery, including optimization techniques and custom parsers/transpilers. Practical knowledge of distributed and analytical engines (e.g., Apache Spark, Trino, PostgreSQL, DuckDB) with skills in query engines, performance More ❯

/parallel processing frameworks to prepare big data for the use of data analysts and data scientists. If you have experience with Apache Parquet, Apache Spark, AWS Glue, AWS Athena, Databricks and want your work to contribute to systems that collect healthcare data used by hundreds of thousands of daily users, we want to (virtually) meet you! You will … so we want you to use your knowledge of Spark to teach others, inform design decisions, and debug runtime problems. Tools & Technology Python SAS PostgreSQL Jenkins AWS Glue AWS Athena JAVA Git and GitHub Confluence Key Responsibilities and Job Duties Migrate data from SAS to Python Design and build software processing pipelines using tools and frameworks in the AWS More ❯

/parallel processing frameworks to prepare big data for the use of data analysts and data scientists. If you have experience with Apache Parquet, Apache Spark, AWS Glue, AWS Athena, Databricks and want your work to contribute to systems that collect healthcare data used by hundreds of thousands of daily users, we want to (virtually) meet you! You will … employee work locations and blocks access from foreign locations/foreign IP addresses and prohibits personal VPN connections. Tools & Technology Python PySpark Spark Databricks PostgreSQL Jenkins AWS Glue AWS Athena JAVA Git and GitHub Confluence Key Responsibilities and Job Duties Design and build data processing pipelines using tools and frameworks in the AWS ecosystem. Analyze requirements and architecture specifications More ❯

related discipline) 6-8 years' experience in Data engineering with strong background in pipeline development and data integration. 3+ years of hands-on experience with AWS data services, including: Amazon Glue, Lambda, S3, StepFunctions and Athena; familiarity with Redshift and Lake Formation is a plus. 6+ years of experience in SQL and programming, preferably in Python. Experience with … BI Tools like Tableau, PowerBI or Amazon QuickSight. Experience with cloud integration tools such as Talend, Informatica Excellent oral communications, thought leadership and formal presentation skills US Citizen or Permanent Lawful Resident (Green Card Holder). Must be able to obtain and maintain a Public Trust MUST RESIDE IN THE United States (U.S.) and the work MUST BE PERFORMED More ❯

design scalable, secure and cost-efficient data architectures that support analytics and machine learning needs. Guide the selection and use of AWS services (e.g., Glue, S3, Lake Formation, Redshift, Athena, Step Functions) and integration tools (e.g., Kafka, Informatica, Talend). Mentor technical teams on architectural standards, data modeling practices, and modern cloud-native data design patterns. Support project delivery … experience in data architecture, data engineering, or enterprise data management. 3+ years of experience designing and implementing cloud-native data solutions in AWS, including services such as Glue, S3, Athena, Redshift, Lake Formation, Step Functions, and Lambda. Experience in data modeling, metadata management, and data governance frameworks. Understand ETLconcepts of data flow, data enrichment, data consolidation, change data capture More ❯