{"id":2160527,"url":"https://alion.io/job/talentcross-data-engineer","title":"Data Engineer","company":{"id":3853091,"name":"TalentCross","domain":"talentcross.it","url":"https://alion.io/company/talentcross","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["AR","BR"],"hiring_countries_total":2,"salary":{"min":3000,"max":3750,"currency":"USD","period":"month","gross":null,"usd_annual":45000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"MySQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-09T08:15:32Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-12T12:12:41Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Data Engineer\nSalary: $3,000 - $3,750 USD/month\nRemote - LATAM-based candidates only\n\nAbout TalentCross\nTalentCross connects top Latin American talent with high-growth US-based companies. We specialize in placing skilled professionals in remote roles where they can make a real impact - without relocating. When you work with TalentCross, you get full support throughout the hiring process and beyond.\nAbout the Client\nOur client is a US-based company that relies on data to drive decisions across Production, Marketing, and Operations. They have a modern data stack and a collaborative engineering team that values clean pipelines, reliable data products, and smart automation. They are looking for a mid-level Data Engineer who can hit the ground running and make an immediate contribution.\nAbout the Role\nWe are looking for a mid-level Data Engineer to support the design, development, and maintenance of data pipelines and automation workflows across the business. You will work closely with technical and non-technical teams to collect, transform, and organize data from different sources into reliable data warehouses and data products.\nThe ideal candidate has hands-on experience with ETL processes, strong SQL and Python skills, and is comfortable working with existing codebases, data models, and internal systems. This role requires someone who can think analytically, communicate clearly, and help automate labor-intensive workflows across departments.\nResponsibilities\nDesign, build, and maintain ETL pipelines using Airflow to collect data from multiple sources and move it into data warehouses\nBuild pipeline integrations with internal data products and support long-running data processes\nWrite and optimize complex SQL queries to extract, transform, and analyze data from relational databases\nIdentify opportunities to improve relational data storage through schema design, query optimization, indexing, replicas, partitioning, and related techniques\nDevelop ad-hoc scripts and recurring automation processes to reduce manual work across internal teams\nWork with existing codebases and contribute improvements without needing to rebuild systems from scratch\nCollaborate with engineering and business stakeholders to understand requirements, troubleshoot issues, and deliver reliable data solutions\nSupport ongoing data modeling, pipeline monitoring, and maintenance to ensure data accuracy and availability\nRequirements\n2+ years of related experience in data engineering, ETL development, or a similar technical role\nHands-on experience designing, implementing, and maintaining ETL pipelines\nStrong experience writing complex SQL queries and working with relational databases such as MySQL, Redshift, or similar\nComfortable coding extensively in Python\nExperience with schema design, data modeling, and relational database optimization\nExperience using version control systems such as Git\nFamiliarity with Airflow, Django, Docker, and related technologies is a plus\nComfortable working with codebases originally written by other engineers\nStrong communication skills and ability to work effectively with both technical and non-technical stakeholders\nWillingness to learn new languages, tools, and frameworks as needed to solve business and technical problems\nBased in Argentina, Brazil, or another South American country; Argentina preferred\nWhy Join Us\nCompetitive pay: $3,000 - $3,750 USD/month based on experience\n100% remote: Work from anywhere in South America\nImpactful work: Build pipelines that drive real business decisions\nModern stack: Work with Airflow, Python, SQL, Docker, and more\nCollaborative team: Work alongside engineers and business stakeholders\n TalentCross support: We guide you through every step of the hiring process\nTalentCross is an equal opportunity recruiter. 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