{"id":709368,"url":"https://alion.io/job/scalepex-data-engineer-big-data-full-stack-exposure-only-mexico","title":"Data Engineer (Big Data + Full Stack exposure) - ONLY MEXICO","company":{"id":685237,"name":"Scalepex","domain":"scalepex.com","url":"https://alion.io/company/scalepex","size_band":null,"is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"D","score":44,"open_postings":45,"ghost_share":0.933,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["MX"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Aerospike","optional":false},{"name":"Angular","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Play Framework","optional":false},{"name":"Airflow","optional":true},{"name":"AWS","optional":true},{"name":"Hadoop","optional":true},{"name":"Java","optional":true},{"name":"JavaScript","optional":true},{"name":"Linux","optional":true},{"name":"MySQL","optional":true},{"name":"Python","optional":true},{"name":"Scala","optional":true},{"name":"Spark","optional":true},{"name":"Tableau","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-04-21T00:00:00Z","employer_posted_date":"2026-04-21","last_verified_at":"2026-11-04T12:58:31Z","board_verified":true,"closed_at":null,"days_open":197,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":197},"description":"About Scalepex\nScalepex is a nearshore partner that empowers businesses to scale efficiently and effectively through exceptional services. With a strong focus on customer success, innovation, and cultural alignment, we support companies in building high-performing teams across industries.\nAt Scalepex, we believe in fostering an environment where our people can thrive, grow their careers, and make a real impact.\nJob Summary\nWe are looking for a Data Engineer / Senior Data Engineer to design, build, and scale robust data pipelines and analytics solutions. This role combines hands-on development with technical leadership, ensuring high-quality data systems that power business insights and analytics products.\nYou will work across the full data lifecycle-from ingestion and transformation to modeling and delivery-while contributing to architectural decisions and best practices.\nRequirements\nKey Responsibilities\nSr Data Engineer will understand the business need and design the data pipelines, translate data into business insights, data cleansing and ETL.\nExperience in Databricks, GitHub Actions. \nUnderstand CI/CD, Aerospike\nGather requirements from vested teams to build features.\nSelf-motivated individual will use their love of user interfaces to balance design and function, and thrive in a fast-paced environment, knowledge in Angular / Play Framework is a plus.\nUnderstand the priorities and ensures the deliverables stick to the timeline and complete projects on time.\nBe a team player who works effortlessly with people.\nRequired Qualifications\n3-7 years of experience in data engineering or software development at an enterprise level \n Strong hands-on experience with: \n Apache Spark (Scala) \n Python \n MySQL and relational databases \n Columnar storage formats (e.g., Apache Parquet) \n Experience with AWS ecosystem, including data lake architectures \n Familiarity with: \n Airflow for orchestration \n Databricks \n CI/CD pipelines (e.g., GitHub Actions) \n Strong understanding of data modeling, storage, and access patterns \n Experience building highly scalable, high-volume data systems \n Solid understanding of ETL processes and data integration layers\nPreferred Qualifications\nExperience with: \n Java \n Angular or Play Framework \n Tableau or other BI tools \n Aerospike or NoSQL databases \n Knowledge of Hadoop ecosystem and EMR management \n Experience working in AdTech or digital media environments \n Familiarity with Linux systems\nBenefits\nContractor scheme\n100% 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