Sr Data and AI Engineer

Abstra; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Company-provided equipment

20 days PTO per year

Professional growth opportunities

Collaborative, multicultural work环境

Job summary

Abstra is seeking a Sr Data and AI Engineer to design and deliver modern data platforms powering analytics and generative AI initiatives. You will build scalable data lakes, warehouses, and pipelines in cloud-native architectures, emphasizing automation and CI/CD.

The role focuses on hands-on engineering, IaC, and collaboration with architects, cloud engineers, and clients to transform complex requirements into secure, production-ready solutions.

Qualifications

• 5+ years in data engineering or AI/ML
• At least 1 year in the other domain
• Experience writing SQL (any dialect) including stored procedures, CTEs
• Significant programming experience (Python, Scala, Java) with Git
• Experience with AWS/Azure/GCP cloud platforms
• Ability to engage with customers and set expectations without a PM
• IaC experience: Terraform/OpenTofu/CloudFormation
• Data warehouses: Redshift/Snowflake/BigQuery
• NoSQL databases and concepts: DynamoDB/Cassandra/Redis
• Data streaming: Spark/Kafka/Kinesis

Responsibilities

• Design and implement data pipelines, platforms, lakes, and warehouses
• Deliver ML and GenAI solutions via IaC and CI/CD
• Stay current on AWS and GenAI developments
• Mentor junior engineers and collaborate with cloud teams
• Build reusable data products for future engagements

Skills

Data engineering

AI/ML

Python

SQL

Git

Cloud platforms

Customer communication

Tools

Terraform

OpenTofu

CloudFormation

Docker

Kubernetes

Spark

Kafka

Redshift

Snowflake

BigQuery

DynamoDB

Job description

As a Sr Data and AI Engineer, you will work closely with architects, cloud engineers, and clients to design and deliver modern data platforms that power analytics, machine learning, and generative AI initiatives. You will help build scalable data lakes, warehouses, pipelines, and cloud-native architectures, transforming complex business requirements into secure, production-ready solutions. This is a hands-on engineering role focused on delivering impact through automation, Infrastructure as Code (IaC), and CI/CD best practices.

Location:

LATAM 100% Remote. Working hours are based on the US Pacific Time Zone. Minimum 6-hour overlap

About the Company:

Abstra is a fast-growing, Nearshore Tech Talent services company, providing top Latin American tech talent to U.S. companies and beyond. Founded by U.S.-bred engineers with over 15 years of experience, Abstra specializes in sourcing skilled professionals across a wide range of technologies to meet our clients’ needs, driving innovation and efficiency.

Key Responsibilities:

• Collaborate with architects and customers to design and implement data pipelines, platforms, lakes, warehouses, and architectures
• Deliver enterprise-level ML and GenAI solutions via IaC and CI/CD
• Continuous learning: staying up to date on AWS (including certifying) as well as awareness of GenAI developments
• Mentoring and guiding junior engineers, cross-team collaboration with cloud engineers
• Build and maintain generic, repeatable data products for use in future consulting engagements

Required Qualifications:

• 5+ years in one of the domains (data engineering or AI/ML)
• At least one year of experience in the other domain
• Experience writing SQL (any dialect), including stored procedures, CTEs, etc.
• Significant programming experience (Python, Scala, Java, etc.) using source control (Git, GitHub, GitLab, Bitbucket, etc.)
• Regularly using at least one major cloud platform: AWS, Azure, GCP
• Confident working directly with customers: you can run a technical conversation, set expectations, and build trust without a project manager in the room
• IaC: Terraform, OpenTofu, CloudFormation, etc.
• Data warehouses: Redshift, Snowflake, BigQuery, etc.
• NoSQL databases and concepts: DynamoDB, Cassandra, Redis, etc.
• Data streaming: Spark, Kafka, Kinesis, etc.

Preferred Qualifications:

• ETL tooling: Airflow, dbt, Glue, Fivetran, etc.
• Familiarity with ML concepts (random forests, neural nets, etc.) and common frameworks: scikit-learn, TensorFlow, PyTorch, etc.
• Containerization: Docker, Kubernetes, etc.
• Data visualization: QuickSight, Tableau, Power BI, etc.

What We Offer:

• Competitive compensation paid in USD.
• 20 days of paid time off (PTO) per year.
• Opportunities for professional growth and career development.
• Company-provided equipment.
• A collaborative, inclusive, and multicultural work environment.
• The opportunity to contribute to meaningful projects alongside a talented and supportive team.

Pre-Employment Verification

As part of our standard onboarding process, candidates who successfully complete the interview process and accept an employment offer will be required to complete an employment verification check, and background check. This process will confirm job titles and dates of employment with two previous employers and is a standard requirement for all new employees joining the company.