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HomeCompaniesItxSR 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

FieldValue
CompanyItx
TitleSR Software Engineer (Data focus) - (Remote, LATAM)
Normalized title-
Department / team-
LocationSão Paulo, São Paulo, Brazil
Work modelRemote / Remote
Employment typeFull Time
Salary$5,300–$7,500,000,000 / month
Statusactive
ATS providerBambooHR
Posted / first seen2026-06-05 / 2026-05-30
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Itx.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in São Paulo.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyItx
Sourceec8a2ced-a0fd-4602-8a5a-764deaad46b2
ATS providerBambooHR

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 ID6dd8ce303eb4e632a838332d0371efc28221076a
Org ID92d6a30a-ceff-438e-aaa5-2e78704fd658
Source IDec8a2ced-a0fd-4602-8a5a-764deaad46b2
Board IDec8a2ced-a0fd-4602-8a5a-764deaad46b2
Providerbamboohr
Provider Job Key372
TitleSR Software Engineer (Data focus) - (Remote, LATAM)
Normalized Title
Statusactive
Activeyes
Location Text
Department
Team
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryBrazil
RegionSão Paulo
CitySão Paulo
Salary Rawpay 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 Min5,300
Salary Max7,500,000,000
Salary CurrencyUSD
Salary Periodmonth
Source URLhttps://itx.bamboohr.com/careers/372
Apply URLhttps://itx.bamboohr.com/careers/372
First Seen At2026-05-30 06:09:19Z
Last Seen At2026-06-06 10:29:08Z
Last Checked At2026-06-06 10:29:08Z
Last Changed At2026-06-06 10:29:08Z
Inactive At
Source Posted At2026-06-05 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=itx/date=2026-06-06/2026-06-06T10-29-07-424Z-8c62faaa8cc67c0302dad22d6aefdc6f219f0be25402823808f33f7fe02339fd.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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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 &amp; 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 &amp; 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 &amp; 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. 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