{"id":4223808,"url":"https://alion.io/job/spin-ic4-sr-data-engineer-2","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":6,"ghost_share":0,"stale_share":0.833,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-11-12T10:38:37Z"}},"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":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"GitLab","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":"2026-11-13T01:27:28Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T06:52:24Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"IC4 - Sr Data Engineer\nJob Family: Decision Sciences > Sub-family: Data Engineering\nReports to (role): Data Engineering Lead I Sr Lead I Manager\nObjective 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 real-time 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.\nRequired Knowledge and Experience\nMinimum 5-6 years of experience in data engineering or related fields, with proven expertise in designing and implementing scalable data solutions.\nAdvanced technical expertise in software development life cycle (SDLC) methodologies.\nAdvanced understanding of design patterns.\nAble to work autonomously and provide support to less qualified professionals.\nAdvanced experience in the use of Python, Java, and data-related frameworks.\nAdvanced knowledge of dimensional data modeling and advanced techniques in this field, including structured, semi-structured, and unstructured data storage (NoSQL), as well as ETL, ELT construction.\nAdvanced knowledge in file processing: CSV, JSON, Parquet, YAML, images, and videos.\nAdvanced knowledge in data processing: batch, microbatch, near real-time, and real-time.\nAdvanced understanding and experience to contribute and implement data privacy strategies.\nAdvanced understanding and experience in implementing and maintaining robust data governance strategies.\nAdvanced knowledge in Data Engineering Lifecycle (also known as Data Processing Lifecycle).\nAdvanced knowledge in processing different types of internal and external data sources with API management, for subsequent processing, storage, and analysis.\nAdvanced knowledge in understanding Architecture: Business, Solutions, Data, etc.\nAdvanced mastery in version control: Git, GitHub, GitLab.\nAdvanced in business vision (business domain), to sensitively identify how data contributes to the business.\nAdvanced mastery and evidence with projects using the Google Cloud Platform (GCP) Stack for Data.\nAdvanced mastery and evidence with projects using the Amazon Web Services (AWS) Stack for Data.\nAdvanced experience in developing and optimizing SQL and related queries.\nAble to effectively and exceptionally socialize the design of the data solution without supervision.\nAdvanced experience in Project Management with Agile methodology (Scrum or Kanban).\nExperience in collaborating on projects to achieve OKRs, warning of risks, and providing business value.\nAdvanced competence in transparently communicating project status.\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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