Senior Backend Software Engineer – Data Engineering

ArcTouch

Partner with Data Architect to design data pipelines and integrations feeding Knowledge Graph platform. Requires strong backend and data engineering experience with cloud platforms and tools.

Posted 7/21/2026contractRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in backend engineering and data engineering, with a strong focus on designing ETL/ELT pipelines and integrating data sources into cloud platforms. Proficient in utilizing modern data engineering tools and languages to support system architecture and data flow.

Highest-signal resume keywords

C# / .NETPythonData EngineeringETL/ELT Pipeline DesignCloud Data Engineering Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend EngineeringData EngineeringSQLGraph Query LanguagesREST APIsGraphQLEvent-Driven Integration PatternsDataflows Gen2LakehouseOneLake

Tools & Technologies

Microsoft FabricData FactoryAzure FunctionsService BusEvent GridKey VaultAzure OpenAI

Industry Keywords

Knowledge GraphSaaS IntegrationPIMECommerce

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformGraphQL.NETPySparkPythonSQLVault

About the role

Key responsibilities & impact

Partner with the Data Architect to inventory existing data sources, run gap analysis, and design the pipelines and integrations that feed the Knowledge Graph platform.
Inventory existing data sources (APIs, schemas, quality, schema markup);
Run gap analysis between current systems and the target Knowledge Graph model;
Support System Architecture design with integration and data-flow input;
Design ETL/ELT pipelines into the target lakehouse/data lake (e.g., OneLake), using tools such as Fabric Data Factory and Dataflows Gen2, or equivalent;
Design the LLM enrichment pipeline and human-review workflow;
Document API contracts, source-to-target mappings, and pipeline sequencing for Build.

Requirements

What you’ll need

5+ years backend engineering, with 2+ years in data engineering;
Strong C# / .NET and/or Python (PySpark a plus);
Hands-on experience with modern cloud data engineering platforms and tools (e.g., Microsoft Fabric — Data Factory, Dataflows Gen2, Lakehouse, OneLake, Notebooks — or equivalent services on Azure, AWS, or GCP);
Solid experience with cloud platform services (e.g., Azure Functions, SQL, Service Bus/Event Grid, Key Vault, or equivalents on other cloud providers);
REST APIs, GraphQL, webhooks, and event-driven integration patterns;
Experience integrating with SaaS platforms (PIM / eCommerce preferred);
Familiarity with Azure OpenAI or LLM-based pipelines;
SQL strong; graph query languages (GQL, Cypher, SPARQL) a plus.

Benefits

Comp & perks

REMOTE WORK: This position is remote-friendly. If you miss being in the office, we have a great one in Florianópolis and you are welcome to work from there whenever you wish.
Just a reminder: remote employees must live in Brazil (we hire international professionals only for specific openings).
Why work for us? Simple: We love what we do.