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Maintain and improve Databricks metadata/tagging pipelines, ensuring data quality and operational reliability.
Develop and support Agentic AI solutions, including prompt engineering, tool orchestration, guardrails and response quality optimization.
Manage SageMaker environments and MLOps processes, including model deployment, monitoring, evaluation, retraining, versioning and rollback strategies.
Provide production support for AWS API Gateway, Lambda services and cloud-based applications, including incident response, troubleshooting and release readiness. Maintain and improve Databricks metadata/tagging pipelines, ensuring data quality and operational reliability. Develop and support Agentic AI solutions, including prompt engineering, tool orchestration, guardrails and response quality optimization.
Maintain and improve Databricks metadata/tagging pipelines, ensuring data quality and operational reliability. Develop and support Agentic AI solutions, including prompt engineering, tool orchestration, guardrails and response quality optimization. Manage SageMaker environments and MLOps processes, including model deployment, monitoring, evaluation, retraining, versioning and rollback strategies.
Develop and support Agentic AI solutions, including prompt engineering, tool orchestration, guardrails and response quality optimization. Manage SageMaker environments and MLOps processes, including model deployment, monitoring, evaluation, retraining, versioning and rollback strategies. Work with OpenSearch vector databases and support retrieval and search optimization for AI applications.
Solid experience supporting production environments on AWS, including Lambda and API Gateway (incident response, troubleshooting, release readiness)
Experience with Databricks and data engineering, with focus on pipeline reliability and data quality
Experience with Agentic AI frameworks
Hands-on experience with Amazon SageMaker and MLOps practices: model deployment, monitoring, evaluation, retraining, versioning and rollback
Practical experience building Generative AI / Agentic AI solutions, including prompt engineering, tool orchestration and guardrails
Experience optimizing response quality and retrieval/search relevance in AI applications
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 0
Early. Similar jobs usually come down between day 6 and day 55.
From 13,209 similar postings that came down. Coming down is not always a hire.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Hands-on experience with Amazon SageMaker and MLOps practices: model deployment, monitoring, evaluation, retraining, versioning and rollback - Strong Python skills - Experience with Databricks and data engineering, with focus on pipeline reliability and data quality
What you will do: - Provide production support for AWS API Gateway, Lambda services and cloud-based applications, including incident response, troubleshooting and release readiness. - Maintain and improve Databricks metadata/tagging pipelines, ensuring data quality and operational reliability.
- Advanced English - Solid experience supporting production environments on AWS, including Lambda and API Gateway (incident response, troubleshooting, release readiness) - Hands-on experience with Amazon SageMaker and MLOps practices: model deployment, monitoring, evaluation, retraining, versioning and rollback
- Provide production support for AWS API Gateway, Lambda services and cloud-based applications, including incident response, troubleshooting and release readiness. - Maintain and improve Databricks metadata/tagging pipelines, ensuring data quality and operational reliability. - Develop and support Agentic AI solutions, including prompt engineering, tool orchestration, guardrails and response quality optimization.
- Strong Python skills - Experience with Databricks and data engineering, with focus on pipeline reliability and data quality - Practical experience building Generative AI / Agentic AI solutions, including prompt engineering, tool orchestration and guardrails
- Develop and support Agentic AI solutions, including prompt engineering, tool orchestration, guardrails and response quality optimization. - Manage SageMaker environments and MLOps processes, including model deployment, monitoring, evaluation, retraining, versioning and rollback strategies. - Work with OpenSearch vector databases and support retrieval and search optimization for AI applications.
- Solid experience supporting production environments on AWS, including Lambda and API Gateway (incident response, troubleshooting, release readiness) - Hands-on experience with Amazon SageMaker and MLOps practices: model deployment, monitoring, evaluation, retraining, versioning and rollback - Strong Python skills
Complete your application on zallpy.inhire.app. The employer’s form will show what is required.
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
At Zallpy, technology is created by curious, collaborative people who care about doing things well. If you enjoy environments where there is room to ask questions, test ideas, learn, and grow together, this opportunity is for you! 💚
At Zallpy, a diverse environment and an inclusive culture are part of who we are. We build a safe and respectful space where different perspectives are welcomed and everyone has the opportunity to grow, contribute, and belong.
We support your development at every stage of your journey.
Come grow with us. 🚀
We are looking for someone to join a team that thinks big, works with attention to detail, values partnership in everyday work, and shares responsibility. We believe in autonomy, the exchange of different experiences, and building solutions together.
Here, growing means sharing knowledge, respecting different ways of thinking, and building relationships based on trust while delivering high-quality technology.
If this way of working resonates with you, come join us.
What you will do:
What we are looking for:
Nice to have:
Where you will work:
Hiring models:
Benefits of being a Zallper:
🍽 Meal/Food Allowance
Caju multi-benefit card (credit format), offering flexibility for everyday needs. (CLT only) *
🏥 Health Plan – Unimed
No waiting period or copayment for the holder. Possibility to include dependents (children, spouse, or stepchildren) with copayment. (CLT only) *
🦷 Dental Plan – Uniodonto
Affordable options to include dependents. (CLT only) *
💪 Wellhub
Access to gyms, physical activities, and wellness programs.
🧘 Zenklub
For CLT: Two free sessions per month and special rates for additional sessions.
For Cooperative/Contractor: Special rates for sessions.
🛡 Life Insurance
More security for you and your family. (CLT only) *
👶 Childcare Allowance
Financial support for Zallpers with children from 4 months to 6 years old, according to internal policy. (CLT only) *
🎁 Baby Zallpy
A special gift to celebrate the arrival of new Zallpy babies.
👥 Business Partner Support
Close and human-centered support from our People & Culture team throughout your journey at Zallpy.
🌍 Volunteer Internal Communities
Diversity, Sports & Movement, and Technology.
🎓 Educational Partnerships
Discounts on undergraduate and graduate programs, professional courses, and language schools.
✈️ Experiences & Development
Participation in events, workshops, trips, and team-building activities.
💼 Referral Program
Refer talents to Zallpy and receive bonuses from R$2,500 to R$5,000.
* Contractor / PJ: For these hiring models, the benefits above apply except for those marked with an asterisk (*), which are exclusive to CLT. In addition, we offer dedicated platforms to manage contractors, ensuring organization, transparency, and a structured experience throughout the entire journey. 😉
Job ID:d6934a
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Where you will work: - This is a 100% remote position, open to candidates living in Porto Alegre, RS. Hiring models:
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