Sqs Engineer Jobs

2 jobs found

3d ago

Data Engineer

Symple Lending Tampa, FL

Tampa, FL

3d ago

Full time 3d Design Tools Automation AWS

Apply Now

Job Description

Hybrid Data Engineer role in Tampa, FL (hybrid) focused on reliable cloud data pipelines, dbt transformations, and production-grade security.

Responsibilities

Maintain and optimize production data pipelines using AWS services such as S3, Redshift, ECS, and SFTP integrations
Build, test, and maintain dbt models to support dependable and efficient data transformations
Monitor pipeline performance, data accuracy, and overall system health; troubleshoot and resolve production issues
Ensure security and compliance through system updates, dependency upgrades, vulnerability remediation, and patching
Collaborate with engineering teams using Git, pull requests, code reviews, and CI/CD processes
Use AI-assisted development tools including Claude and Cursor to improve development efficiency and workflow
Create and maintain technical documentation, operational procedures, and communicate system updates across teams
Work with the Senior Data Engineer on infrastructure improvements and scalable data solutions

Requirements

3–5 years of professional experience in data engineering or a related technical role
Strong SQL skills and experience with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery
Proficiency in Python for pipeline development, scripting, and automation
Hands-on experience with AWS services including S3, IAM, ECS, or Lambda
Production experience with dbt and data transformation workflows
Experience using Git, including pull requests and collaborative code review practices
Knowledge of security best practices, monitoring, dependency management, and vulnerability remediation
Familiarity with AI-assisted development tools and interest in incorporating AI into daily workflows
Strong problem-solving, communication, and collaboration skills

Technologies

AWS, S3, Redshift, ECS, SFTP, dbt, Git, CI/CD, Claude, Cursor
SQL, Snowflake, BigQuery, Python, IAM, Lambda
Docker, ECS/Fargate, Terraform, CloudFormation
EventBridge, SQS, Dependabot, Snyk, AWS Inspector
Amazon SageMaker, machine learning pipelines

Benefits

Competitive salary
Comprehensive health, dental, and vision insurance
Direct mentorship from an experienced Senior Data Engineer
Opportunity to take ownership of production systems and make a meaningful impact
Hands-on exposure to modern AWS cloud infrastructure and AI-driven engineering tools
Positive and collaborative work culture
Paid time off
Professional growth and development opportunities
Employee referral bonus program

Bonus Points

Experience with Docker, ECS/Fargate, Terraform, or CloudFormation
Familiarity with AWS EventBridge, SQS, or other event-driven architectures
Experience with security tools such as Dependabot, Snyk, or AWS Inspector
Background in financial services, lending, or another regulated industry
Exposure to machine learning pipelines or Amazon SageMaker

View full job page →

2mo ago

Sr Machine Learning Engineer

Disney Entertainment and ESPN Product & Technology New York, NY

New York, NY

2mo ago Closed

$149k - $199k/yr Full time Senior Ai Ml Artificial Intelligence

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

Job Description

The News ML team builds machine learning capabilities that enable robust, real-time personalized news experiences across web, mobile, and connected TV. In this role, you will help lead the technical direction for the News ML Platform by delivering scalable learning, inference, and monitoring, while partnering with product, editorial, and engineering stakeholders to translate business needs into production systems.

This is a senior position based in New York, NY (onsite), offering a salary range of USD 148,700 - 199,400 per year. You will take ownership of complex initiatives end-to-end, from technical design through deployment and operational excellence.

What you’ll do

Own complex technical initiatives from technical design through production deployment, ensuring operational excellence
Design and develop ML infrastructure across the lifecycle, including data pipelines, workflow orchestration, data discovery and quality tools, and feature libraries
Deliver data and ML-driven solutions for engineering use cases including recommendation systems, object detection, autogenerated tagging solutions, and RAGs
Partner with product, editorial, and engineering stakeholders to translate business requirements into robust technical solutions
Strategically prioritize workstreams to deliver the highest-impact, time-sensitive outcomes while identifying, communicating, and mitigating risks
Champion engineering best practices across code quality, testing, CI/CD, observability, and incident response
Mentor and coach engineers to promote ownership, collaboration, and continuous improvement
Contribute to technical documentation and support knowledge sharing across teams

Required qualifications

Bachelor’s degree in Computer Science, Information Systems, Statistics, Math, or a comparable field of study (or equivalent work experience)
5+ years of experience building and operating ML engineering systems in production environments
Expertise in data science, deep learning algorithms, or statistical methods to solve real-world engineering problems
Comfort operating across the predictive stack, including data collection, data analysis, feature engineering, batch training, and low-latency online serving
Experience designing and developing backend microservices for distributed systems using REST
Experience with cloud infrastructure, preferably AWS (including Step Functions, Lambda, Glue, SQS, SNS, Personalize)
Familiarity with developing and deploying Spark and ML pipelines
Hands-on experience with big data technologies such as Databricks, Kinesis, Kafka
Proven leadership, coaching, and mentoring skills to inspire and empower a team toward business goals
Experience with observability tools for metrics, logging, and monitoring such as Datadog
Experience working in Agile/Scrum environments
Excellent communication skills and a commitment to collaboration in a fast-paced, guest-focused environment

Technologies you may work with

REST, AWS, Step Functions, Lambda, Glue, SQS, SNS, Personalize
Spark, Databricks, Kinesis, Kafka
Datadog, CI/CD
RAGs, object detection, recommendation systems

Compensation and benefits

A bonus and/or long-term incentive units may be provided as part of the compensation package
Full range of medical, financial, and/or other benefits

View full job page →

Get Sqs Engineer Jobs alerts

New Sqs Engineer Jobs, daily.