{"id":1759414,"url":"https://alion.io/job/spin-ic4-sr-data-engineer","title":"IC4 - Sr Data Engineer","company":{"id":1811024,"name":"Spin","domain":"spin.app","url":"https://alion.io/company/spin-app","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":84,"open_postings":11,"ghost_share":0,"stale_share":0.636,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-07T05:47:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":40000,"max_usd":100000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1839},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"Kanban","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-07-07T20:23:02Z","employer_posted_date":"2026-07-23","last_verified_at":"2026-10-07T23:39:31Z","board_verified":true,"closed_at":null,"days_open":92,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":91},"description":"Objective of the Role\nLeads the design, development, and optimization of advanced data solutions, ensuring scalability, reliability, and alignment with business objectives. This role plays a critical part in defining data architectures, mentoring team members, and driving the adoption of best practices throughout the data engineering lifecycle. With a strong focus on performance, security, and governance, ensures that data solutions contribute to a data-driven culture and deliver measurable business value.\nMain Responsibilities\nLead the design and implementation of robust and scalable data pipelines, enabling efficient ingestion, processing, and storage of structured, semi-structured, and unstructured data.\nCollaborate with cross-functional teams to gather requirements, define technical solutions, and align data architectures with business needs.\nDevelop and optimize data models using industry-standard techniques to support analytics, reporting, and AI-driven solutions.\nImplement advanced data processing workflows, including batch, microbatch, near real-time, and realtime pipelines, to ensure seamless data availability and performance.\nDrive the adoption of data governance and privacy strategies, ensuring compliance with security and regulatory requirements throughout the data lifecycle.\nDesign and maintain data architectures, contributing to the scalability and reliability of data lakes, warehouses, and real-time streaming platforms.\nDevelop monitoring processes and data quality metrics to ensure the reliability, integrity, and completeness of data used for decision-making.\nActively contribute to all phases of the data engineering lifecycle, adhering to Agile methodologies and ensuring timely delivery of high-quality solutions.\nMentor and guide junior and mid-level engineers, fostering a collaborative and inclusive team environment.\nMaintain and document data architectures, processes, and technical workflows to ensure continuity and knowledge sharing.\nLead the integration of APIs and external data sources, optimizing data flows and ensuring compatibility with existing architectures.\nManage version control and repository practices to maintain clean, reliable, and maintainable codebases.\nPromote an autonomous work culture by encouraging self-management, accountability, and proactive problem-solving among team members.\nServe as a Spin Culture Ambassador to foster and maintain a positive, inclusive, and dynamic work environment that aligns with the company's values and culture.\nWhat We Are Looking For\n\nWe are seeking a Senior Data Engineer with 5+ years of experience to drive our data architecture, mentor talent, and deliver strategic business value.\nCloud & Code Mastery: 5+ years of experience designing scalable data solutions with advanced, project-proven mastery of both GCP and AWS data stacks, Python, Java, and expert SQL optimization.\nData & Pipeline Engineering: Deep expertise in the end-to-end Data Engineering Lifecycle, including advanced dimensional modeling, ETL/ELT pipeline design, and multi-format data processing (batch, real-time streaming, NoSQL, and APIs) using robust SDLC methodologies.\nGovernance & Privacy: Proven track record implementing and maintaining robust Data Governance and Data Privacy strategies across complex architectures.\nAutonomy & Mentorship: Ability to operate with high autonomy, effectively socializating complex technical designs with stakeholders while actively mentoring and guiding junior engineers.\nAgile & Business Impact: Strong business acumen with experience managing projects via Agile (Scrum/Kanban), proactively mitigating risks, and directly aligning data initiatives with company OKRs.\nEn Spin estamos comprometidos con construir un lugar de trabajo diverso e inclusivo.\nCreemos en la igualdad de oportunidades y promovemos un entorno libre de discriminación por motivos de raza, origen nacional, género, identidad de género, orientación sexual, discapacidad, edad o cualquier otra condición legalmente 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