Amazon Athena

Amazon Athena Engineer Jobs

3 jobs found

30d ago

Senior Data Engineer

LTM Tampa, FL

Tampa, FL

30d ago Closed

$84k - $114k/yr Full time Senior 3d Design Tools Amazon Athena

This position is no longer accepting applications (closed Sep 18, 2026).

Job Description

The Senior Data Engineer role at LTM focuses on designing, building, and optimizing scalable data solutions on AWS. The position emphasizes PySpark-based big data processing, data warehousing concepts with Apache Hive, and modern data lake table formats including Apache Iceberg.

Responsibilities

Design, develop, and deploy scalable, cost-effective data solutions on AWS using services including S3 for data lakes, EC2, EMR, Glue, Athena, Lambda, Redshift, and Kinesis
Build and maintain robust ETL/ELT pipelines using PySpark for data ingestion, transformation, and loading into data stores, including environments that use open table formats such as Iceberg
Develop and optimize big data processing jobs using PySpark on AWS EMR or AWS Glue, handling large datasets and integrating with Iceberg table formats
Implement and manage data warehousing solutions, including schema design, data modeling, and query optimization, with an approach that supports historical and analytical workloads using Hive and Iceberg
Provide secure and robust cloud infrastructure components, including VPCs, subnets, routing, and security groups, to support proper connectivity and isolation for data solutions
Design, deploy, and manage containerized data processing applications on Amazon EKS
Optimize performance and efficiency by tuning AWS resources and big data applications across Spark, Hive, and Iceberg
Apply data governance, security, and compliance best practices in AWS, including IAM policies, S3 bucket policies, and encryption
Set up monitoring, logging, and troubleshooting for data pipelines and AWS infrastructure to resolve issues promptly
Develop and maintain automation scripts using Python and shell scripting for infrastructure provisioning, deployment, and operational tasks
Collaborate with data scientists, analysts, and other engineering teams to understand data requirements and deliver reliable data solutions

Required Qualifications

At least one AWS certification, for example: AWS Certified Solutions Architect – Associate, AWS Certified Data Analytics – Specialty, or AWS Certified Developer – Associate
Hands-on experience with key AWS services for data processing and storage, including S3, EC2, EMR, Glue, Athena, and Lambda
Experience with VPC, subnets, routing, and security groups
Experience with EKS
Strong proficiency in PySpark for complex data transformations and analytics
Practical experience with Apache Iceberg for managing and querying data lakes
In-depth knowledge and practical experience with Apache Hive for data storage, querying, and schema management
Expert-level Python proficiency for scripting data manipulation and AWS automation using Boto3
Proficiency in shell scripting for automation and operational tasks
Strong SQL skills for data querying and manipulation
Solid understanding of ETL/ELT, data modeling, distributed computing, and data governance

Technologies

AWS, PySpark, Amazon S3, EC2, EMR, AWS Glue, AWS Athena, AWS Lambda, Amazon Redshift, Amazon Kinesis
Apache Iceberg, Apache Hive, VPC, subnets, routing, security groups
Amazon Elastic Kubernetes Service (EKS), Kubernetes
IAM policies, encryption, Python, shell scripting, SQL, Boto3
Apache Spark, SparkSQL, data lakes, ETL/ELT, Iceberg, Spark Hive Iceberg
Apache Airflow, Git, Apache Kafka, Flink, Presto, AWS CodePipeline, GitHub Actions, GitLab CI

Benefits

Comprehensive Medical Plan covering medical, dental, and vision
Short Term and Long-Term Disability coverage
401(k) plan with company match
Life insurance
Vacation time, sick leave, and paid holidays
Paid paternity and maternity leave

Good to Have Skills

Orchestration experience with workflow orchestration tools such as Apache Airflow
CICD experience with tools and practices including AWS CodePipeline, GitHub Actions, and GitLab CI
Version control proficiency using Git
Exposure to other big data technologies including Apache Kafka, Flink, or Presto
Containerization and orchestration experience with Kubernetes for deploying and managing containerized applications

Certifications

AWS Certified Solutions Architect – Associate
AWS Certified Data Analytics – Specialty
AWS Certified Developer – Associate

Role Details

Work location: Tampa, FL (onsite)
Salary: USD 83,912 - 113,900 per year
Mandatory: Karat interview

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1mo ago

Data & AI Engineer

RevStar Virginia 🇺🇸 Remote

Virginia

1mo ago Closed

Full time Amazon Athena Amazon Web Services Artificial Intelligence

This position is no longer accepting applications (closed Sep 16, 2026).

Job Description

RevStar is seeking an experienced Data & AI Engineer (remote in Virginia) to lead production AI/ML delivery on AWS with a focus on GenAI and data lake architecture.

Responsibilities

Design, build, and deploy LLM-based APIs using Amazon Bedrock, including support for models such as Claude, Titan, Nova, and Cohere
Implement retrieval-augmented generation (RAG) pipelines using OpenSearch and S3
Build data pipelines for curated and raw data layers with AWS Glue, Athena, and Lake Formation
Enable real-time reporting and AI usage dashboards using Amazon QuickSight
Design serverless workflows with AWS Lambda and manage prompt metadata in DynamoDB
Develop prompt orchestration strategies, including fallback handling, versioning, and safety guardrails
Partner with product managers, architects, and DevOps to align AI/ML delivery with customer and project goals
Document solutions clearly and support onboarding for client-team handoff
Keep pace with AWS innovations across GenAI, MLOps, and scalable data platforms

Requirements

Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or a related field
5+ years designing, building, and deploying cloud-based ML or GenAI systems
Deep hands-on experience with AWS AI/ML and data services, including Amazon Bedrock, AgentCore, SageMaker, Lambda, S3, DynamoDB, Glue, Athena, Lake Formation, OpenSearch, and QuickSight
Strong Python development skills focused on data manipulation, API development, and automation
Experience implementing RAG, prompt orchestration, or LLMOps workflows (preferred)
Familiarity with CI/CD, Infrastructure-as-Code (IaC), and Git-based workflows
Excellent communication skills for explaining AI system design and tradeoffs to both technical and business stakeholders in a client-facing professional services environment

Technologies

Amazon Bedrock, Claude, Titan, Nova, Cohere
OpenSearch, S3
AWS Glue, Athena, Lake Formation
Amazon QuickSight
AWS Lambda, DynamoDB
Amazon AgentCore, Amazon SageMaker
Python, CI/CD, Infrastructure-as-Code (IaC), Git
LLM Ops, MLOps

Benefits

Paid Time Off
Remote-First Working Environment
Comprehensive Health Coverage: Medical, Dental, Vision
401(k) Retirement Plan
Annual Learning & Development Stipend
Peer Mentorship & Coaching
Professional Growth Opportunities
Company Outings & Volunteer Opportunities
Collaborative, Innovative Culture

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1mo ago

Data Engineer, Specialist Technology Team (STT), Centralized Data & Analytics

Amazon Web Services, Inc. New York, NY

New York, NY

1mo ago Closed

$132k - $197k/yr Full time Amazon Athena Amazon Emr Amazon Web Services

This position is no longer accepting applications (closed Sep 2, 2026).

Job Description

AWS Specialist Technology Team (STT) is seeking a Data Engineer to help design and implement a centralized analytics data platform for unified reporting and agent-driven insights. The role will build scalable data pipelines and models that connect product telemetry, usage metrics, and business outcomes to support analytics experiences and executive decision-making.

Responsibilities

Design, build, and operate scalable ETL/ELT pipelines ingesting product telemetry, usage events, and business outcome data from multiple heterogeneous sources across the STT product portfolio
Architect and implement a centralized data platform using AWS-native technologies, including Redshift, S3, Glue, Lake Formation, Lambda, and Athena, to provide a single source of truth for organizational analytics
Build and maintain data models that link product usage signals to business outcomes, including analytics workflows for content effectiveness, field engagement, pipeline progression, and revenue impact
Develop data infrastructure to support AI/ML pipelines and agentic systems, including MCP tools and natural-language data access layers
Implement data quality frameworks with automated monitoring, alerting, and validation to maintain accuracy and reliability as the platform scales
Create self-service data products with defined SLAs, documentation, and governance to reduce ad-hoc requests and enable stakeholders to answer questions independently
Partner with Applied Scientists and SDE teams to deliver clean, well-modeled data for agent evaluation frameworks, retrieval quality measurement, and content effectiveness scoring
Establish data contracts, lineage tracking, and catalog metadata to improve discoverability and trust across the organization
Maintain operational excellence by owning on-call, monitoring pipeline health, and resolving data freshness or quality issues before they affect consumers
Help progress from static dashboards to agentic data systems by creating foundational data layers that AI agents can query and reason over

Requirements

3+ years of data engineering experience
3+ years developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes
3+ years developing and operating large-scale business intelligence analytics data structures using SQL
3+ years developing and operating large-scale business intelligence analytics data structures using data modeling experience
3+ years of experience in the job offered or a related occupation

Technologies

Redshift, S3, Glue, Lake Formation, Lambda, Athena
ETL, ELT
SQL, EMR, Kinesis, FireHose
IAM roles and permissions
Natural-language data access layers
MCP tools

Benefits

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)

Preferred Qualifications

Experience with AWS technologies including Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with non-relational databases or data stores such as object storage, document or key-value stores, graph databases, or column-family databases

About the Team

Join a high-growth engineering organization focused on applying generative AI and agentic technologies to transform how AWS field teams operate
The centralized analytics team is being built from the ground up, with this role among the first two Data Engineers on the team
Work alongside Business Intelligence Engineers, a Senior BD, an Applied Scientist, and a TPM
Contribute to foundational architectural decisions that influence how the platform is built, scaled, and operated long-term
Operate in an environment where innovation pace is high, problems are ambiguous, and impact extends across thousands of field team members and the customers they serve

Location and Compensation

New York, NY (onsite). USD 132,100 - 196,600 per year.

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Amazon Athena Engineer Jobs

Senior Data Engineer

Data & AI Engineer

Data Engineer, Specialist Technology Team (STT), Centralized Data & Analytics

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