{"id":2456656,"url":"https://alion.io/job/blend360-senior-data-engineer-29","title":"Senior Data Engineer","company":{"id":4305,"name":"Blend360","domain":"blend360.com","url":"https://alion.io/company/blend360","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":37,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Guadalajara, Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":42000,"max_usd":109000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2157},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Databricks","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-10-13T13:08:47Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-14T00:03:23Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com\n The Data Products Team builds and certifies the data products that power outage management and reliability reporting. The team owns the full data lifecycle, from raw source feeds to validated, stakeholder-ready outputs.\nWe’re looking for a hands-on Data Engineer to build and maintain ETL pipelines, implement data quality validations, and support the delivery of certified, versioned data products. You will work closely with the team and operational stakeholders to ensure data accuracy, reliability, and readiness for downstream reporting and business use.\nResponsibilities\nBuild and maintain scalable ETL pipelines using AWS Glue, Spark, and Athena to process modem telemetry, outage events, and customer impact data.\n\nDevelop and manage daily data quality checks, including SQL validations, threshold-based alerts, and row-count monitoring.\n\nInvestigate data anomalies such as nulls, duplicates, missing intervals, and unexpected data distributions, resolving issues before they affect downstream systems.\n\nIntegrate data from multiple upstream systems, including AOM, IPDR, Scope, CARS, IRIS, and Gisual, to produce unified, validated datasets.\n\nSupport data product certification by validating outputs and ensuring they meet established quality standards before stakeholder delivery.\n\nCoordinate versioned data product releases, including test case development, release notes, go/no-go decisions with end users, and patches through a structured release process.\n\nDocument data validation methodologies, pipeline behavior, and release processes.\n\nCollaborate with data engineering teammates and BI and operational stakeholders throughout the data delivery lifecycle.\n\n Strong proficiency in SQL, including window functions (LAG, PARTITION BY), grouping sets, null handling, and Athena-specific query patterns.\n\nExperience with Python for scripting, automation, and data validation.\n\nHands-on experience with AWS data services, particularly Glue, Athena, S3, EMR, and Step Functions.\n\nExperience using Spark for large-scale data processing, preferably on EMR.\n\nStrong understanding of data quality and the ability to investigate anomalies, identify root causes, and determine when data does not look correct.\n\nExperience validating data pipelines and ensuring data accuracy and consistency before downstream consumption.\n\nStrong written communication skills, with the ability to document technical methodologies and coordinate effectively with teammates and stakeholders.\n\nNice to Have\nExperience working with telecommunications or network operations data, including modem telemetry, outage records, or IPDR-style data feeds.\n\n Our Perks and Benefits:\nLearning Opportunities:\nCertifications in AWS (we are AWS Partners), Databricks, and Snowflake.\n\nAccess to AI learning paths to stay up to date with the latest technologies.\n\nStudy plans, courses, and additional certifications tailored to your role.\n\nAccess to Udemy Business, offering thousands of courses to boost your technical and soft skills.\n\nEnglish lessons to support your professional communication.\n\nTravel opportunities to attend industry conferences and meet clients.\nMentoring and Development:\nCareer development plans and mentorship programs to help shape your path.\n\nCelebrations & Support:\nSpecial day rewards to celebrate birthdays, work anniversaries, and other personal milestones.\n\nCompany-provided equipment.\n\nFlexible working options to help you strike the right balance.\nOther benefits may vary according to your location in LATAM. 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