Home › Companies › Itx › SR Software Engineer (Data focus) - (Remote, LATAM)
SR Software Engineer (Data focus) - (Remote, LATAM)
Itx · Remote · Active · $5,300–$7,500,000,000 / month · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Itx |
| Title | SR Software Engineer (Data focus) - (Remote, LATAM) |
| Normalized title | - |
| Department / team | - |
| Location | São Paulo, São Paulo, Brazil |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | $5,300–$7,500,000,000 / month |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-06-05 / 2026-05-30 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Itx. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in São Paulo. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Itx |
| Source | ec8a2ced-a0fd-4602-8a5a-764deaad46b2 |
| ATS provider | BambooHR |
Description
ITX is Hiring a Senior Software Engineer with AI & Data Skills!
We’re looking for an Engineer with deep expertise in Data and AI to design and implement scalable, AI-driven solutions that power exceptional user experiences.
In this role, you’ll focus on building chatbot platforms and data flows , enabling intelligent interactions and seamless integration across systems. You’ll work in a cloud-agnostic environment , leveraging GCP, Azure, and AWS to deliver dynamic, multi-cloud solutions that adapt to evolving client needs.
Note: This role is limited to candidates based in LATAM. Candidates from other locations will not be considered for this role.
What You'll Do:
Design and implement scalable, secure data pipelines across multi-cloud ecosystems (Azure, AWS, GCP).
Develop and maintain ETL/ELT workflows using modern orchestration tools like Apache Airflow , Spark , and cloud-native services.
Build and optimize data processing frameworks with technologies such as Apache Beam , DLT , DBT , and Snowflake .
Collaborate with data scientists and AI engineers to operationalize machine learning models and integrate AI services (Azure AI, AWS SageMaker, GCP Vertex AI, Databricks MLflow).
Implement data quality, governance, and observability practices to ensure accuracy, consistency, and compliance.
Design and maintain data models and analytical layers that power self-service analytics and BI solutions.
Continuously evaluate emerging tools and frameworks to deliver best-in-class performance and cost efficiency .
What We're Looking For:
Cloud Expertise: Hands-on experience with platforms like Databricks , Snowflake , AWS (Redshift, Glue, Athena, EMR), Azure (Synapse, Data Lake), or GCP (BigQuery, Dataflow, Vertex AI).
Strong understanding of Delta Lake , Spark optimization , and distributed data processing.
Familiarity with multi-cloud architecture and secure data movement.
Data Engineering Skills: Proficiency in Python , experience with Apache Airflow , DBT , and scalable ETL/ELT frameworks.
AI Integration: Knowledge of MLflow, SageMaker, Vertex AI, or Azure ML for deploying models at scale.
Governance & Security: Understanding of data lineage, cataloging tools, and compliance standards (GDPR, HIPAA, SOC2).
Soft Skills: Analytical mindset, excellent communication, and ability to explain technical concepts to both engineers and business stakeholders.
Experience working in Agile environments and collaborating with cross-functional teams
English bilingual proficiency.
Preferred Certifications:
Databricks Certified Data Engineer (Associate or Professional)
Snowflake SnowPro Core / Advanced Architect
AWS Certified Data Analytics – Specialty
Google Cloud Professional Data Engineer
Microsoft Certified: Azure Data Engineer or AI Engineer Associate
ITX’s Compensation Philosophy
Equality in compensation has been our practice since ITX started in 1997.
ITX believes that market-based pay ensures fair and equitable compensation for our worldwide team members and pay that is based on the market, not on who has the best negotiation skills. At ITX, you’ll never discover that someone in the same job with the same experience makes more than you, or that there are pay gaps based on race, gender, disability, or age.
How do our team members experience market-based pay at ITX? We gather market data to benchmark each position in our candidates’ and team members’ locations and use these benchmarks for candidate offers and to perform regular compensation reviews for our team members. You’ll never have to worry about asking for a pay raise again. At least once a year ITX automatically adjusts pay when the benchmark is higher than our team member’s compensation.
In LATAM the pay range for the Senior Software Engineer with AI & Data Skills role is $5,300 to $7,500 monthly, depending on experience, specific skills and certifications, and education. Based on your location in LATAM pay ranges could be adjusted according to local market data, which can vary from country to country. This variation percentage could be 16% lower or 14% higher.
Do you have questions about ITX’s compensation practices? Let us know! We’re proud of how we do compensation at ITX and welcome the opportunity to share more.
This role was posted by ITX on December 12th, 2025.
Full job record
| Job ID | 6dd8ce303eb4e632a838332d0371efc28221076a |
| Org ID | 92d6a30a-ceff-438e-aaa5-2e78704fd658 |
| Source ID | ec8a2ced-a0fd-4602-8a5a-764deaad46b2 |
| Board ID | ec8a2ced-a0fd-4602-8a5a-764deaad46b2 |
| Provider | bamboohr |
| Provider Job Key | 372 |
| Title | SR Software Engineer (Data focus) - (Remote, LATAM) |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | — |
| Department | — |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | Brazil |
| Region | São Paulo |
| City | São Paulo |
| Salary Raw | pay range for the Senior Software Engineer with AI & Data Skills role is $5,300 to $7,500 monthly, depending on experience, specific skills and certifications, and educati |
| Salary Min | 5,300 |
| Salary Max | 7,500,000,000 |
| Salary Currency | USD |
| Salary Period | month |
| Source URL | https://itx.bamboohr.com/careers/372 |
| Apply URL | https://itx.bamboohr.com/careers/372 |
| First Seen At | 2026-05-30 06:09:19Z |
| Last Seen At | 2026-06-06 10:29:08Z |
| Last Checked At | 2026-06-06 10:29:08Z |
| Last Changed At | 2026-06-06 10:29:08Z |
| Inactive At | — |
| Source Posted At | 2026-06-05 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=itx/date=2026-06-06/2026-06-06T10-29-07-424Z-8c62faaa8cc67c0302dad22d6aefdc6f219f0be25402823808f33f7fe02339fd.json |
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"description": "<p><span style=\"font-weight: bold\"><span style=\"color: rgb(15, 71, 97)\"><span>ITX is Hiring a Senior Software Engineer with AI & Data Skills!</span></span></span><span style=\"color: rgb(15, 71, 97)\"> </span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt\">We’re looking for an <span style=\"font-weight: bold\">Engineer with deep expertise in Data and AI</span> to design and implement <span style=\"font-weight: bold\">scalable, AI-driven solutions</span> that power exceptional user experiences.<br><br></span></p>\n<p><span style=\"font-size: 12pt\">In this role, you’ll focus on <span style=\"font-weight: bold\">building chatbot platforms and data flows</span>, enabling intelligent interactions and seamless integration across systems. You’ll work in a <span style=\"font-weight: bold\">cloud-agnostic environment</span>, leveraging <span style=\"font-weight: bold\">GCP, Azure, and AWS</span> to deliver dynamic, multi-cloud solutions that adapt to evolving client needs.</span></p>\n<p><em><span style=\"font-size: 12pt\"><br></span></em><br></p>\n<p><em><span style=\"font-size: 12pt\"><span style=\"text-decoration: underline\">Note:</span><span> </span>This role is limited to candidates based in LATAM. Candidates from other locations will not be considered for this role. </span></em></p>\n<p><br></p>\n<p><span style=\"color: rgb(52, 73, 94)\"><span style=\"font-weight: bold\">What You'll Do:</span> </span></p>\n<ul>\n<li><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Design and implement</span> scalable, secure data pipelines across <span style=\"font-weight: bold\">multi-cloud ecosystems</span> (Azure, AWS, GCP).</span></li>\n<li><span style=\"font-size: 12pt\">Develop and maintain <span style=\"font-weight: bold\">ETL/ELT workflows</span> using modern orchestration tools like <span style=\"font-weight: bold\">Apache Airflow</span>, <span style=\"font-weight: bold\">Spark</span>, and cloud-native services.</span></li>\n<li><span style=\"font-size: 12pt\">Build and optimize <span style=\"font-weight: bold\">data processing frameworks</span> with technologies such as <span style=\"font-weight: bold\">Apache Beam</span>, <span style=\"font-weight: bold\">DLT</span>, <span style=\"font-weight: bold\">DBT</span>, and <span style=\"font-weight: bold\">Snowflake</span>.</span></li>\n<li><span style=\"font-size: 12pt\">Collaborate with <span style=\"font-weight: bold\">data scientists and AI engineers</span> to operationalize machine learning models and integrate AI services (Azure AI, AWS SageMaker, GCP Vertex AI, Databricks MLflow).</span></li>\n<li><span style=\"font-size: 12pt\">Implement <span style=\"font-weight: bold\">data quality, governance, and observability</span> practices to ensure accuracy, consistency, and compliance.</span></li>\n<li><span style=\"font-size: 12pt\">Design and maintain <span style=\"font-weight: bold\">data models and analytical layers</span> that power self-service analytics and BI solutions.</span></li>\n<li><span style=\"font-size: 12pt\">Continuously evaluate emerging tools and frameworks to deliver <span style=\"font-weight: bold\">best-in-class performance and cost efficiency</span>.</span><br></li>\n</ul>\n<p><br></p>\n<p><span style=\"color: rgb(35, 111, 161)\"><span style=\"color: rgb(52, 73, 94); font-weight: bold\">What We're Looking For:</span> </span></p>\n<ul>\n<li><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Cloud Expertise:</span> Hands-on experience with platforms like <span style=\"font-weight: bold\">Databricks</span>, <span style=\"font-weight: bold\">Snowflake</span>, AWS (Redshift, Glue, Athena, EMR), Azure (Synapse, Data Lake), or GCP (BigQuery, Dataflow, Vertex AI).</span></li>\n<li><span style=\"font-size: 12pt\">Strong understanding of <span style=\"font-weight: bold\">Delta Lake</span>, <span style=\"font-weight: bold\">Spark optimization</span>, and distributed data processing.</span></li>\n<li><span style=\"font-size: 12pt\">Familiarity with <span style=\"font-weight: bold\">multi-cloud architecture</span> and secure data movement.</span></li>\n<li><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Data Engineering Skills:</span> Proficiency in <span style=\"font-weight: bold\">Python</span>, experience with <span style=\"font-weight: bold\">Apache Airflow</span>, <span style=\"font-weight: bold\">DBT</span>, and scalable ETL/ELT frameworks.</span></li>\n<li><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">AI Integration:</span> Knowledge of MLflow, SageMaker, Vertex AI, or Azure ML for deploying models at scale.</span></li>\n<li><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Governance & Security:</span> Understanding of data lineage, cataloging tools, and compliance standards (GDPR, HIPAA, SOC2).</span></li>\n<li><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Soft Skills:</span> Analytical mindset, excellent communication, and ability to explain technical concepts to both engineers and business stakeholders.</span></li>\n<li><span style=\"font-size: 12pt\">Experience working in <span style=\"font-weight: bold\">Agile environments</span> and collaborating with cross-functional teams</span></li>\n<li><span>English bilingual proficiency.</span></li>\n</ul>\n<p><br><br></p>\n<p><span style=\"color: rgb(52, 73, 94); font-size: 12pt\"><span style=\"font-weight: bold\">Preferred Certifications:</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Databricks Certified Data Engineer (Associate or Professional)</span></li>\n<li><span style=\"font-size: 12pt\">Snowflake SnowPro Core / Advanced Architect</span></li>\n<li><span style=\"font-size: 12pt\">AWS Certified Data Analytics – Specialty</span></li>\n<li><span style=\"font-size: 12pt\">Google Cloud Professional Data Engineer</span></li>\n<li><span style=\"font-size: 12pt\">Microsoft Certified: Azure Data Engineer or AI Engineer Associate</span></li>\n</ul>\n<p><br></p>\n<ul></ul>\n<p><span style=\"font-size: 12pt; font-weight: bold\">ITX’s Compensation Philosophy </span></p>\n<p><span style=\"font-size: 12pt\">Equality in compensation has been our practice since ITX started in 1997. </span></p>\n<p><span style=\"font-size: 12pt\"> </span></p>\n<p><span style=\"font-size: 12pt\">ITX believes that market-based pay ensures fair and equitable compensation for our worldwide team members and pay that is based on the market, not on who has the best negotiation skills. At ITX, you’ll never discover that someone in the same job with the same experience makes more than you, or that there are pay gaps based on race, gender, disability, or age. </span></p>\n<p><span style=\"font-size: 12pt\"> </span></p>\n<p><span style=\"font-size: 12pt\">How do our team members experience market-based pay at ITX? We gather market data to benchmark each position in our candidates’ and team members’ locations and use these benchmarks for candidate offers and to perform regular compensation reviews for our team members. You’ll never have to worry about asking for a pay raise again. At least once a year ITX automatically adjusts pay when the benchmark is higher than our team member’s compensation. </span></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\"> </span></p>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">In LATAM the pay range for the <span style=\"color: rgb(0, 0, 0)\">Senior Software Engineer with AI & Data Skills</span> role is $5,300 to $7,500 monthly, depending on experience, specific skills and certifications, and education. Based on your location in LATAM pay ranges could be adjusted according to local market data, which can vary from country to country. This variation percentage could be 16% lower or 14% higher.<span> </span></span><span style=\"font-weight: bold\"> </span><br> </span></p>\n<p><span style=\"font-size: 12pt\">Do you have questions about ITX’s compensation practices? Let us know! 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