{"id":1150601,"url":"https://alion.io/job/ryzlabs-data-engineer-3","title":"Data Engineer","company":{"id":4626,"name":"Ryzlabs","domain":"ryzlabs.com","url":"https://alion.io/company/ryzlabs","size_band":"51-200","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":70,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":61,"computed_at":"2026-09-26T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["AR","BR","MX","AG","AW","BS","BB","BZ","BM","BO","VG","BQ","KY","CL","CR","CW","DM","DO","EC","SV","FK","GF","GD","GP","GT","GY","HT","HN","JM","MQ","MS","NI","PA","PY","PE","PR","KN","LC","PM","SX"],"hiring_countries_total":45,"salary":null,"salary_estimate":{"min_usd":47000,"max_usd":114000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1254},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS CDK","optional":false},{"name":"AWS Glue","optional":false},{"name":"Elixir","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"DynamoDB","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-09-23T14:57:31Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-26T23:45:40Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Remote position - only for professionals based in LATAM.\nWe are looking for a Senior Data Engineer for one of our client's teams. You will take ownership of the systems responsible for ingesting, transforming, validating, and publishing data across our platform.\nIn this role, you will work at the data ingestion boundary, where data from multiple external sources enters our systems. You will be responsible for building reliable pipelines, resolving identity and entity-matching challenges, detecting data-quality issues, and ensuring data flows correctly into downstream products and services.\nThis is a hands-on engineering role that combines AWS data engineering, Python/SQL development, event-driven architectures, data quality, and identity resolution. You will collaborate closely with engineering, product, analytics, and downstream platform teams to troubleshoot issues and improve the reliability of our data ecosystem.\nWhat You'll Do\nOwn and evolve data ingestion pipelines, including source ingestion/scraping, data cleaning and curation using AWS Glue, entity resolution, and event-driven data publishing.\nDesign and maintain reliable batch and event-driven data workflows across our data platform.\nDiagnose and resolve identity-resolution issues across multiple data sources, including deduplication and entity-matching challenges.\nDevelop and maintain data quality and validation frameworks, including freshness monitoring, null-rate checks, consistency validation, and schema-drift detection.\nMonitor data at the ingestion boundary and proactively identify issues before they impact downstream systems and products.\nPartner with engineering teams responsible for the events bridge and downstream identity services to trace data and events end-to-end.\nCollaborate with Product, Assessments, Analytics, and other stakeholders to understand how data flows into downstream products and ensure those requirements are reflected in the data pipelines.\nAutomate infrastructure and pipeline changes using Infrastructure as Code, primarily Terraform or AWS CDK.\nWork with AWS services including Glue, Athena, S3, and event-driven services to build and operate scalable data infrastructure.\nParticipate in production incident response, quickly identifying the scope and impact of data-quality issues and implementing remediation.\nContinuously improve pipeline reliability, observability, maintainability, and operational processes.\nWhat You'll Bring\n5+ years of experience building and operating production-grade data pipelines.\nStrong experience working with both batch data processing and event-driven architectures.\nHands-on experience with AWS Glue, Athena, and S3-based data lakes, including layered/medallion-style data transformations.\nStrong proficiency in Python and SQL for data transformation, processing, and analysis.\nExperience with identity resolution, entity matching, or deduplication, including exact and fuzzy matching approaches.\nUnderstanding of the challenges and tradeoffs involved in maintaining durable identifiers and first-seen/locked identity mappings.\nExperience working with event schemas and schema-registry-backed contracts, such as Protobuf, and an understanding of the risks associated with schema changes.\nStrong troubleshooting and production incident-response skills, including the ability to determine impact, identify root causes, and implement fixes quickly.\nAbility to understand and debug code written in a functional or concurrent programming language, such as Elixir.\nStrong communication and collaboration skills, with the ability to work effectively across engineering, product, analytics, and other technical teams.\nNice to Have\nExperience with Elixir/Phoenix or another BEAM-based concurrent processing framework.\nExperience with DynamoDB-backed identity, lookup, or matching services.\nExperience with the Snowflake ecosystem, including data modeling, Snowpipe, Streams, and Tasks.\nExperience working with sports data providers, such as MLB.com or Sportradar, or with other licensed-content/data provider ecosystems.\nExperience implementing data observability, including freshness/staleness alerts, null-rate monitoring, schema-drift detection, and data-quality dashboards.\nExperience working with Infrastructure as Code using Terraform or AWS CDK.\nTechnologies\nLanguages: Python, SQL, familiarity with Elixir\nAWS: Glue, Athena, S3, DynamoDB\nData & Streaming: Data Lakes, Event-Driven Architecture, Protobuf, Schema Registries\nInfrastructure: Terraform, AWS CDK\nData Platforms: Snowflake\nEngineering Practices: Data Quality, Data Observability, Identity Resolution, Entity Matching, Incident Response","description_format":"text","description_chars":4654,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Argentina","iso":"AR","kind":"region"},{"name":"Brazil","iso":"BR","kind":"region"},{"name":"Colombia","iso":null,"kind":"region"},{"name":"Mexico","iso":"MX","kind":"region"},{"name":"Anguilla","iso":null,"kind":"region"},{"name":"Antigua and Barbuda","iso":"AG","kind":"region"},{"name":"Aruba","iso":"AW","kind":"region"},{"name":"Bahamas","iso":"BS","kind":"region"},{"name":"Barbados","iso":"BB","kind":"region"},{"name":"Belize","iso":"BZ","kind":"region"},{"name":"Bermuda","iso":"BM","kind":"region"},{"name":"Bolivia","iso":"BO","kind":"region"},{"name":"British Virgin Islands","iso":"VG","kind":"region"},{"name":"Bonaire, Sint Eustatius and 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Guiana","iso":"GF","kind":"region"},{"name":"Grenada","iso":"GD","kind":"region"},{"name":"Guadeloupe","iso":"GP","kind":"region"},{"name":"Guatemala","iso":"GT","kind":"region"},{"name":"Guyana","iso":"GY","kind":"region"},{"name":"Haiti","iso":"HT","kind":"region"},{"name":"Honduras","iso":"HN","kind":"region"},{"name":"Jamaica","iso":"JM","kind":"region"},{"name":"Martinique","iso":"MQ","kind":"region"},{"name":"Montserrat","iso":"MS","kind":"region"},{"name":"Nicaragua","iso":"NI","kind":"region"},{"name":"Panama","iso":"PA","kind":"region"},{"name":"Paraguay","iso":"PY","kind":"region"},{"name":"Peru","iso":"PE","kind":"region"},{"name":"Puerto Rico","iso":"PR","kind":"region"},{"name":"Saint Kitts and Nevis","iso":"KN","kind":"region"},{"name":"Saint Lucia","iso":"LC","kind":"region"},{"name":"Saint Vincent and the Grenadines","iso":null,"kind":"region"},{"name":"Saint-Pierre and Miquelon","iso":"PM","kind":"region"},{"name":"Sint 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now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":61,"reasons":["conf:1","velocity","win:early"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/ryzlabs-data-engineer-3","json_url":"https://alion.io/job/ryzlabs-data-engineer-3.json","meta":{"generated_at":"2026-09-27T01:15:06Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1107,"day_limit":5000,"remaining_today":3893,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}