Search  21 jobs from 10 companies hiring remote data engineers in argentina.

Data Engineer

Somos una de las startups líderes en ecommerce de Latinoamérica. Contamos con un equipo de más de 400 personas que trabajan en conjunto en Buenos Aires, San Pablo, Belo Horizonte y México, acompañando el crecimiento de más de 80.000 marcas que eligen vender online con la plataforma de e-commerce líder en Latinoamérica.

Brindamos una solución tecnológica de ecommerce para que micro, pequeñas, medianas y grandes empresas puedan crear su propia tienda online autogestionable sin conocimientos técnicos.

Desde el panel de administración, los dueños de las tiendas pueden personalizar el diseño del sitio y poner sus productos a la venta. La solución también los ayuda a aumentar sus ventas gracias a aplicaciones y herramientas de marketing online integradas, posibilitando la expansión del negocio y trayéndolo al ambiente virtual.

Tiendanube

• Design and develop new software applications
• Collaborate with cross-functional teams
• Implement best practices in software development
• Troubleshoot and resolve software issues
• Stay up-to-date with the latest technology trends

Truelogic Software, an Inc. 5000 company,  is an innovative technology services company that specializes in custom web and mobile software development firm that leverages global facilities, senior engineers, more than 19 years of experience and methodologies to help you reduce operating costs and shorten timelines.Truelogic has developed more than 1000 projects for well-known multinationals such as McAfee, Sony, Nissan, The Television Academy (The Emmys), The New York Times, Manpower, Panasonic, Honda, and Verizon as well start-ups and medium-sized businesses alike. We are proud to have a wide range of clients of all sizes, reflecting our flexibility and versatility, always finding the right balance that each particular client seeks.Truelogic offers a cost-effective blended model making use of its Development centers in New York and Latin America.We only work with software engineers, with at least 5 years of experience. Our proprietary database of 40,000 active candidates allows us to create a team composed by only the Top 1% Software Engineers.Truelogic provides nearshore Software Engineering Services to companies in the United States. Our Services:- Nearshore Software Development- Staff Augmentation Services & Dedicated Agile Teams- Mobile Product Development- Software Maintenance- Data Engineering- QA Automation & Testing- Project Management- DevOps

Truelogic Software

• Truelogic is a leading provider of nearshore staff augmentation services, located in New York.
• Our team of 500 tech talents is driving digital disruption from Latin America to the top projects in U.S. companies.
• Truelogic has been helping companies of all sizes to achieve their digital transformation goals.
• Would you like to make innovation happen?
• Have you ever dreamed of building Products that impact millions of users?
• Then we have a seat for you on our team!
• You will have the opportunity to work in a forward-thinking and growth-oriented environment, at a top national mortgage lender with over 4 million lifetime customers.
• Occupy a unique position in the market, in a critical position for the company.
• Present Tech design architecture, talk technically and explain how things work.
• Heavy on AWS, how everything works and go into details

Data Architect (AWS) - PennyMac (ID: 1601)

IT Scout is a powerful boutique recruiting firm who loves connecting people and companies in the Tech Industry. We create quality relationships between the best IT talent in the market and the most challenging software development projects.We are 100% remote, start-up oriented and we specialize in headhunting senior talent worldwide.

IT Scout

• We are looking for a mid-level data engineer to join our team. The ideal candidate will have experience working with Python, PySpark, SQL, and Databricks. In this role, you will be responsible for designing and implementing data pipelines, as well as maintaining and optimizing existing ones. You will work closely with our team of data scientists and analysts to ensure that data is stored, processed, and analyzed efficiently.

Responsibilities:
• Key Responsibilities would be to design, build, and maintain data pipelines using PySpark, ensuring data is collected, processed, and made available for analysis in a timely and efficient manner. Detailed tasks include: 
  ○ Extracting data from primary and secondary sources
  ○ Removing corrupted data and fixing coding errors and related problems
  ○ Performing analysis to assess the quality and meaning of data
  ○ Filter Data by reviewing reports and performance indicators to identify and correct code problems
• Design, develop, and maintain data-centric software solutions using Python.
• Collaborate with data scientists and product owners to understand requirements and transform them into scalable data engineering solutions.
• Optimize data pipelines for performance, scalability, and reliability, working with large volumes of structured and unstructured data.
• Perform data quality assurance, validation, and debugging to ensure accurate and reliable results.
• Develop and maintain data ingestion processes from various sources (e.g., databases, APIs, flat files).
• Create and manage config-driven data transformation workflows, including data cleansing, aggregation, and enrichment.
• Write clean, maintainable, and well-documented code.
• Collaborate within and across teams for knowledge sharing, code reviews, and general tech synchronization.

Semi Senior Data Engineer - 362 - (NE)

3XM Group develops quality software solutions, with offices in the US and Argentina. We aim to be strategic advisors for our clients, taking care of all their technology needs, focusing on delivering tailored solutions on-time and within scope.We provide Data Analytics, Cloud, DevOps and Software Development services, with agile teams that can work with you as stand-alone teams, integrating into your inhouse dev teams, or providing external architectural guidance.

3XM Group

• Design, build, and maintain reusable data products through DBT and SQL.
• Ensure data accuracy, consistency, timeliness, and completeness with automated testing and reporting.
• Develop, maintain, and improve data infrastructure, data pipeline architecture, and data integration between various systems.
• Collaborate with different stakeholders to understand their data needs and requirements.
• Build scalable and efficient data processing solutions to support data-driven applications.
• Develop and maintain documentation related to data engineering processes and procedures.
• Ensure data security and compliance with data privacy regulations.
• Troubleshoot and resolve data-related issues and incidents.
• Keep up to date with emerging trends and technologies in data engineering and incorporate them into our data processes.

Sr. / Ssr. Data Engineer

• Develop and maintain an efficient data pipeline architecture
• Assemble large and complex data sets
• Identify opportunities for internal process improvements
• Construct infrastructure for extracting, transforming, and loading data
• Collaborate with stakeholders, product teams, data teams, and design teams
• Develop data tools that support analytics and data science
• Work with Product Management to validate requirements for BI
• Setup monitoring and alerting on data pipelines and dashboards

Senior Data Engineer - 350 - (NE)

Newsweek is a global news magazine that provides high quality, in-depth coverage and analysis of the major events shaping our world. For more than 80 years, the iconic brand has been offering readers a unique perspective on world affairs and giving context to the most important events in global news. Today, via its print and digital editions, Newsweek continues to help its readers navigate a rapidly-changing world. Newsweek publishes a U.S. and International edition weekly in English. The international edition – branded as Newsweek International –serves the Europe, Middle-East, Africa and Asia-Pacific regions while language-specific editions are available in Japan, Korea, Latin America, Pakistan, Poland and Serbia. A separate English-language edition is also published for the Middle East. 

The print edition is available in 68 territories while round-the-clock- coverage on the latest breaking world news can be found at newsweek.com
 
Subscribe here: newsweek.com/subscribe

Newsweek

• Design, develop, and maintain data processing and analytics infrastructure on Azure platform
• Create reusable and scalable data pipelines
• Deploy new data platforms
• Use Azure BI services for development of Big Data Platforms
• Work closely with Product Owners and Architects
• Collaborate with data scientists and business analysts
• Stay up to date with latest Azure technologies and best practices

Azure Data Engineer

Nearsure helps US companies form their technical teams providing distributed staff augmentation solutions for any technology, spanning every industry. With our proven remote mindset, we staff and support your team with the savviest Latin American tech talent so you can scale quickly, hit important milestones, and reduce time to market.Contact us today for a free quote. hello@nearsure.net

Nearsure

We are looking for a Senior Data Engineer to join our operations team. You will be responsible for managing and operating the company's databases, which will involve overseeing various aspects such as reporting, indexing, security, clustering, and replication. This role is a critical one for ensuring the smooth and efficient functioning of the company's data infrastructure. 

What you will do:

- Develop and maintain an efficient data pipeline architecture that meets business requirements.
- Assemble large and complex data sets to meet functional and non-functional business requirements.
- Identify opportunities for internal process improvements, such as automating manual processes, optimizing data delivery, and infrastructure scalability.
- Construct the necessary infrastructure for extracting, transforming, and loading data from various sources, using SQL, Python, and AWS data technologies.
- Develop data tools that support analytics and data science in building and optimizing the company's product into an innovative industry leader.
- Work with Product Management to validate requirements for BI and author datasets and dashboards.
- Set up monitoring and alerting on data pipelines and dashboards.
- Collaborate with stakeholders, product teams, data teams, and design teams, to address technical data-related issues and support their data infrastructure needs.

(350) Senior Data Engineer

• Collaborate with cross-functional teams to understand data requirements and objectives.
• Develop and maintain efficient data pipelines for data collection, processing, and cleaning.
• Utilize your expertise in Python and AI to enhance data processing and analysis capabilities.
• Work with platforms such as AEP, Google Cloud, and AWS to manage and optimize data infrastructure.
• Explore and implement best practices for data quality, integrity, and security.
• Collaborate with stakeholders to identify and address data-related challenges.
• Stay current with industry trends and emerging technologies in data engineering.

(346) Senior Data Engineer

intive is a fast-growing global technology company and partner to the world’s leading brands providing people-centric digital products. As a driver of digital excitement, intive combines domain expertise, design and world-class engineering to accelerate business transformation of its clients and create game-changing products and services of tomorrow.Driven by enthusiasm and innovation, intive adds value along the whole application lifecycle – from product conceptualization to CI/CD. The company’s rapidly growing operations include development centers, design studios and regional offices in Germany, UK, Ireland, Poland, Ukraine, Romania, Argentina and the US. intive has over 20 years of experience innovating with clients across many industries, including Telecommunications, Retail, Automotive, FinTech, Transportation and Hi-Tech, Media and Communications.By focusing on creating end-user excitement in digital products, intive continually delivers unprecedented customer satisfaction and has won the trust of some of the world’s largest companies such as Audi, BASF, BMW, Deichmann, Discovery, Facebook, Tandem, ViacomCBS and Vorwerk.

intive

Participate in the Data Engineering team for data pipelines. Mostly sitting on top of Spark (real-time processing) and data lakes. This role is not focused on pipelines and APIs, but instead, data distribution and maintenance. Design/Implement systems/process to collect data from their execution systems to feed model generation/evaluation/testing. Collaborate with cross-functional teams to understand data needs.

Data Engineers

Conexio is a global consulting and technology services firm collaborating with leading international brands to create meaningful client connections.  

Through deep human insights, we provide clarity to our client's processes and develop multi-channel experiences that bring their brand's purpose to life each time. 

We bring the smarts and the heart to everything we do. It is our belief that the best way to work is to add up the sum of very talented individuals who work together to create a positive impact in their fields and the industry at large. 

Based in Montevideo, Uruguay, what started as a dream has turned into an 80+ people team and over 180 successfully delivered international projects. 

Our work makes sense of countless customer interactions and simplifying billions of touchpoints all over the world.  
 
Let’s reshape the customer journey together. 

www.conexiogroup.com

conexio

• Developing new features and functionality for our web application
• Collaborating with cross-functional teams to design, develop, and ship new features
• Troubleshooting and resolving issues reported by users
• Maintaining and improving the performance and reliability of our application
• Participating in code reviews to ensure best practices and quality code

Ref. 137 Senior Data Engineer

At Passport, we help brands reach their global potential.

With an expansive network, an in-house team of shipping and compliance experts, and a user-friendly software platform, Passport is the shipping carrier that growth-focused brands trust to expand their business internationally.

You make the products your customers love. We’ll get it to their doorsteps.

Passport

• Collaborate with your team in creating shared data assets generating visibility into critical business metrics.
• Work cross functionally with our functional teams to develop the insights needed to make important decisions.
• Your responsibilities may look like helping your team with updating data models using dbt, creating data sets, setting standards for organizing data sets and views, conducting ad hoc analyses and data pulls, and creating dashboards from data sets you create.
• Strong familiarity with SQL, dbt, and some experience transforming data warehouse (Snowflake) tables into critical self-serve data artifacts that power impactful analytic use cases (e.g. metrics, dashboards) and empower data consumers.

Data Engineer - LATAM

•Provide tailored data models based on customers unique data sources & use cases provided.
•Provide automated delivery of customers daily incremental user data into Platform.
•Provide real-time streaming of customer data into Platform & automated notifications

Ref. 133 Data Engineer

Dev.Pro helps innovative technology companies scale their business by leveraging our software engineering expertise to support them every step of the way.

It was founded by entrepreneurs and technologists, with the goal of helping technology-driven companies to develop their innovative software products and grow their businesses.

We started as an American company in 2011 and now have offices in different locations. Part of our development centers are located in Ukraine and we support Ukrainian specialists by providing them with career opportunities around the world. Also over the past few years, we have been hiring specialists from very different countries and continue to do so, expanding and globalizing the company. 

True to our roots, we remain creative and nimble, tailoring our engagement with clients to meet their specific needs. Some come to us for our engineering expertise, some for the rapid delivery, and some for cost efficiency. But what truly sets us apart is the alliance we forge with our clients over time, aligning our success with theirs.

Dev.Pro

• Developing and maintaining software applications
• Collaborating with cross-functional teams
• Writing clean and efficient code

Data Engineer - OP01105-00

• Company is seeking an energetic and passionate Senior Consultant to join our rapidly growing data & analytics practice. Our team of full-time consultants work with today’s most cutting-edge Data Warehouse and Business Intelligence tools, building custom solutions for clients around the Chicagoland area.
• Responsibilities: As Senior Consultant, you are responsible for the successful completion of project work plans. Working as part of a team or individually, you will help clients address complex issues and deliver exceptional solutions to help clients. Demonstrate in-depth technical capabilities and professional knowledge Engage with executive leadership to deliver solutions and drive projects Define the architecture, design solutions, develop test & implementation of Business Intelligence & software applications Lead and train junior Consultants Effectively build relationships with your clients


Senior Sisense Data Engineer - 318 - (NE)

JABU (YC S21) is a B2B marketplace and last-mile distribution partner, offering tech-enabled, route-to-market development and merchandising for FMCG brands in undeveloped areas while helping unbanked businesses grow through efficient delivery, an affordable product basket, inventory management, and credit facilities. 

Headquartered in Windhoek, Namibia, we are reinventing the way retailers in the informal sector order, stock, and receive supplies for their shops in Southern Africa.

We're HIRING! Join our growing team. Be part of something big.

JABU

• Analyze and organize raw data
• Build data systems and pipelines
• Evaluate business needs and objectives
• Interpret trends and patterns
• Conduct complex data analysis and report on results
• Prepare data for prescriptive and predictive modeling
• Build algorithms and prototypes
• Combine raw information from different sources
• Explore ways to enhance data quality and reliability
• Identify opportunities for data acquisition
• Develop analytical tools and programs
• Collaborate with data scientists and architects on several projects

Looking for both impact and a fast-paced tech startup environment?  
We're hiring!  https://jobs.lever.co/taptapsend

Taptap Send serves immigrant communities by helping them with their most important financial needs: sending money to friends and family back home. 

Our first product, the Taptap Send mobile app, is easy to use and allow immigrants to send money back home within minutes at great rates to Africa and Asia, with no fees for most of the countries.

Launched in 2019, Taptap Send is backed by top VCs (Spark, Canaan, Reid Hoffman, Breyer Capital...) and is rapidly growing.

Taptap Send

• Analyze and optimize customer support operations: report on key metrics (e.g. CPC, productivity metrics, CSAT) and identify opportunities to improve customer experience and reduce costs across markets and channels
• Drive CX experimentation: own the processes for implementing and reporting on customer support experiments and support Customer Support teams to drive improvements in processes and overall customer experience
• Root Cause Analysis: identify root causes for customer pain points and operational challenges across all teams. Identify insights and opportunities to provide feedback to the business and product teams to reduce defective transactions
• Develop data model to support reporting, operations and optimisation: ingest data into our data warehouse, transform data via SQL queries managed in DBT, and maintain data sets for accuracy and comprehensiveness
• Build systems to enable targeted customer support automations: integrate data warehouse and CRM systems (in collaboration with engineering team) and support operations in improving efficiency and customer experience
• Build and develop operational reporting: create dashboards and reports to provide visibility to the leadership and business on customer experience


Data Scientist / Analytics Engineer, Customer Support - US, UK, Latin America, Remote

Embrace is the only observability platform purpose-built for mobile. Companies, including GOAT, Hilton, P&G, Owlet, and Home Depot, partner with Embrace to observe, proactively analyze, and access the unique datasets of phones, tablets, point-of-sale systems, IoT, cars, and other devices.  Their entire teams, whether engineering, marketing, or business intelligence, use Embrace to create and optimize the experiences of their end-consumers and workforces.

Mobile is a unique challenge for mobile teams, who must now think in terms of millions of autonomous devices with an infinite variation of user and environmental variables.  Embrace unlocks the value by consuming 100% of the user-behavioral and technical time-based session data.  Teams now have real-time observability for product and engineering and automated analysis of now usable and transformed datasets for marketing and BI.

Embrace

• Design, build, scale, and evolve data engineering platforms, services and tooling
• Select, evaluate, and implement evolving technologies to collect high volume, infinitely cardinal data sets
• Design and implement data management services for data trust, data compliance, data access and scalable and configurable metadata management
• Develop methods to ensure the integrity of very complex and evolving data sets
• Optimize data pipelines to scale to processing of 100B+ messages per day in real time

Mutt Data is a technology company that helps startups and big companies build and implement Machine Learning solutions that drive real business results. 

Whether you work in finance, insurance, advertising, telcos, on-demand services or e-commerce, our solutions will help you get ahead of your competition with the latest technologies, techniques and best practices 

We Are Astronomer & Amazon Consulting Partners. We Are #DataNerds.

MUTT DATA

• Develop proof of concepts, build and operate data and Machine Learning pipelines and Data Warehouses/Lakes
• Build ETL processes for a wide variety of data sources (relational database, NoSQL, web services, flat files, etc) as per projects’ needs
• Own problems, from beginning to end - propose, define, present, evangelize, prototype, build, handle and maintain data systems
• Design modern data pipelines and data architectures
• Research and develop new technologies to improve Mutt Data’s toolset, as well as best practices. We invite you to contribute your knowledge on infrastructure, code, frameworks, etc
• Collaborate with Interview instances for Tech People (Exam Review and Technical Interview)

CitizenGO is a global community of millions of active citizens who work together and campaign to defend and promote life, family, and liberty. We work to ensure that those in power respect human dignity and individuals’ rights. 

CitizenGO

• Develop and construct data architectures, systems, and processing tools, including creating and integrating APIs and developing data set processes. 
• Maintain databases and reports that communicate trends, patterns, insights, recommendations, and predictions. 
• Create and manage ETL processes to pull data from various sources, transform it, and load it into a more usable destination. 
• Develop effective communication methods and share knowledge through detailed documentation. 
• Adhere to data protection, privacy, and security regulations. 
• Work remotely from anywhere in the world.

Factored (backed by Andrew Ng's AI Fund and deeplearning.ai) helps leading tech companies select, upskill, and build world-class data science, machine learning and AI engineering teams much faster and more cost effectively. Our engineers have been personally vetted, educated, and mentored by some of the most talented and recognized AI educators and engineers from Silicon Valley, Stanford University and deeplearning.ai.

Factored 

• Create and maintain optimal data pipeline architecture across multiple data sources, including licensed and scraped data.
• Assemble large, complex data sets that meet functional needs across Data Teams.
• Design and develop optimal data processing techniques: automating manual processes, data delivery, data validation and data augmentation.
• Develop any necessary ETL processes to optimize analysis and performance.
• Manage analytics tools that provide actionable insights into usage, customer acquisition, operational efficiency and other key business performance metrics.
• Design and develop a API integrations in order to feed different data models.
• Architect and implement new features from scratch, partnering with AI/ML engineers to identify data sources, gaps and dependencies.
• Identify bugs and performance issues across the stack, including performance monitoring and testing tools to ensure data integrity and quality user experience.
• Build a highly scalable infrastructure using SQL and AWS big data technologies.
• Keep data secure and compliant with international data handling rules.

Search  21 jobs from 10 companies hiring remote data engineers in argentina.. Sr. / Ssr. Data Engineer. Senior Data Engineer - 350 - (NE). Azure Data Engineer. (350) Senior Data Engineer. (346) Senior Data Engineer. Data Engineers. Ref. 137 Senior Data Engineer. Data Engineer - LATAM. Ref. 133 Data Engineer. Data Engineer - OP01105-00. Senior Sisense Data Engineer - 318 - (NE). Data Engineer. Data Scientist / Analytics Engineer, Customer Support - US, UK, Latin America, Remote. Data Engineer. Data Engineer. Data Engineer. Data Engineer

Remote Data Engineer Jobs in Argentina

Search 21 jobs from 10 companies hiring remote data engineers in argentina.

Data Engineer

Tiendanube

Data Architect (AWS) - PennyMac (ID: 1601)

Truelogic Software

Semi Senior Data Engineer - 362 - (NE)

IT Scout

Sr. / Ssr. Data Engineer

3XM Group

Senior Data Engineer - 350 - (NE)

IT Scout

Azure Data Engineer

Newsweek

(350) Senior Data Engineer

Nearsure

(346) Senior Data Engineer

Nearsure

Data Engineers

intive

Data Engineer - LATAM

Passport

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