{"id":2580517,"url":"https://alion.io/job/sigma-software-group-middle-data-engineer","title":"Middle Data Engineer","company":{"id":6266,"name":"Sigma Software Group","domain":"sigma.software","url":"https://alion.io/company/sigma-software-group","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["São Paulo, Brazil"],"countries":["BR"],"hiring_countries":["BR"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":90000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":865},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-14T22:19:20Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T05:46:47Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Do you enjoy building scalable data solutions that enable analytics, reporting, and business intelligence? We are looking for a Middle Data Engineer to join a remote team working on modern cloud-native data platforms and distributed data processing systems.\nIn this role, you will contribute to the development and optimization of ETL/ELT pipelines, data models, and cloud-based data architectures using technologies such as Databricks, Apache Spark, Snowflake, and AWS. This opportunity is ideal for engineers who want to deepen their expertise in modern Data Engineering practices while working on impactful business solutions.\nWe at Sigma Software value collaboration, continuous learning, and technical excellence. Joining our team means working in a supportive engineering environment with opportunities for professional growth, knowledge sharing, and long-term career development.\nCUSTOMER\nOur customer operates within a modern data-driven environment focused on analytics, reporting, and operational decision-making. The platform ecosystem combines cloud-native technologies, distributed processing frameworks, and scalable infrastructure to support reliable and high-performance data solutions.\nPROJECT\nThe project focuses on building and maintaining scalable cloud-based data platforms that support analytics and business intelligence initiatives. The team develops ETL/ELT pipelines, optimizes data transformations, and enhances modern data architectures using distributed data processing technologies and cloud infrastructure.\nKey Technologies: Python, SQL, Apache Spark, Databricks, Snowflake, AWS, ETL/ELT, CI/CD\n Design, develop, and maintain ETL/ELT pipelines\nBuild and optimize data transformations to support analytics and reporting needs\nDevelop and maintain data models, datasets, and integration solutions\nEnsure data quality, consistency, and reliability through testing and monitoring\nTroubleshoot and resolve data pipeline and performance issues\nCollaborate with analysts, engineers, and business stakeholders to deliver data-driven solutions\nContribute to the development and maintenance of cloud-based data platforms\nParticipate in code reviews and technical discussions\nCreate and maintain technical documentation for implemented solutions\nContinuously improve existing data processes and platform performance\n 3+ years of experience in Data Engineering or Software Engineering\nUpper-Intermediate English level\nStrong SQL skills and understanding of relational and dimensional data modeling\nHands-on experience with Python for data processing and automation\nExperience building and maintaining ETL/ELT pipelines\nHands-on experience with Databricks and Apache Spark\nExperience working with Snowflake\nUnderstanding of data warehousing and modern data platform concepts\nExperience working with cloud environments, preferably AWS\nFamiliarity with CI/CD, Git, and software engineering best practices\nStrong analytical, troubleshooting, and communication skills\nWILL BE A PLUS\nExperience with streaming data processing\nKnowledge of orchestration tools such as Airflow or Dagster\nExperience with infrastructure as code practices\nFamiliarity with data quality and observability frameworks\nExposure to large-scale distributed data systems\nExperience working in Agile environments\nPERSONAL PROFILE\nStrong analytical mindset\nDetail-oriented and quality-focused\nProactive and collaborative approach\nGood communication and teamwork skills\nWillingness to learn and grow within modern Data Engineering environments\nAbility to work independently in remote teams","description_format":"text","description_chars":3571,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":["Continuous learning"],"hiring_locations":[{"name":"Brazil","iso":"BR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Outsourcing & Dedicated Teams","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-10-15T01:42:19Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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