Sr Data and AI Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 19h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 14d ago
The date the source published, not the day we noticed it (2026-10-19). Last seen at its source 4h ago.
We have tracked this listing since 29 Oct 2026 (3 days). The employer's own board has carried it every time we have read it, most recently 4 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
LATAM
No source stated where this role may be worked. This is read from the ad's own words.
What the ad says
…Location : LATAM 100% Remote…
Pay not stated
Similar roles pay $6,000–7,250/mo
Middle 50% of 39 listings that do state pay — Engineering · Senior · LATAM · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
BambooHR employer's own board first seen 3d ago · last seen 4h ago
- location not stated
The listing
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.