Senior Data Engineer

Binagora

Data Engineer building data foundations and analytics layers for remote software community. Consolidating data for improved accessibility and analytical capabilities.

Posted 7/20/2026contractRemote • 🇦🇷 ArgentinaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data pipeline design and implementation, with a focus on building centralized analytics layers and establishing Master Data Management frameworks. Proficient in SQL, Python, and AWS Data Stack, with a strong emphasis on data governance and AI-ready data models.

Highest-signal resume keywords

Data Pipeline DesignSQLPythonAWS Data StackMaster Data Management

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Hard Skills

Data EngineeringPostgreSQLDimensional ModelingChange Data CaptureIncremental LoadingData GovernanceAI-Ready PipelinesStatistical AnalysisData ObservabilityData Validation

Tools & Technologies

AWS DMSAWS GlueAWS AthenaAWS S3AWS RDSAWS LambdaHubSpotJiraZendesk

Industry Keywords

Analytics LayerTransactional TablesData MartSelf-Service AnalyticsMetrics DefinitionsKPIBenchmarksData Lake

Tech Stack

Tools & technologies

AWSPostgresPythonSQL

About the role

Key responsibilities & impact

Own data pipeline design and implementation; consolidate 250+ transactional tables into ~10 analytic tables; move from weekly full-refresh to daily/near-real-time incremental loads via CDC (e.g., AWS DMS). Build and own the centralized analytics layer.
Establish unified data definitions, metrics, KPIs, and benchmarks across the organization. Deliver a Master Data Management (MDM) framework with unified definitions and governance standards.
Drive migration to the centralized layer while deprecating direct raw table access.
Partner with internal departments to drive self-service analytics and build aggregations/data marts for benchmarking and experimentation.
Conduct exploratory and statistical analysis for data validation, and implement data observability/monitoring.
Partner with the Applied AI Engineer to design AI-ready data models (including retrieval- and embedding-ready structures to ground RAG and LLM applications). Expand the data lake to ingest third-party sources (e.g., HubSpot, Jira, Zendesk).

Requirements

What you’ll need

5+ years of data engineering experience building/operating production pipelines and analytics layers.
Strong SQL and Python, with deep hands-on PostgreSQL expertise.
Deep experience in dimensional modeling and consolidating transactional schemas into analytic tables.
Hands-on experience with Change Data Capture (CDC) and incremental loading strategies.
Hands-on experience with the AWS Data Stack (Athena, Glue, DMS, S3, RDS, Lambda).
Proven experience establishing Master Data Management (MDM), metrics definitions, and data governance.
Hands-on experience constructing AI-ready pipelines (retrieval/embedding-ready data for RAG/LLM applications).

Benefits

Comp & perks

Trust-based culture: We highly value ownership and we trust in our team's skills and seniority to achieve goals.
Remote work: Enjoy working remotely! We are spread-headed in different locations in LATAM and Europe.
Flexible time off policy.
Diverse & Impactful Projects: Engage with complex challenges for major players in Media & Entertainment, alongside innovative startups in Solar Energy, Compliance, and other dynamic sectors.
Learning and development: Get the opportunity to take English classes, trainings and certifications.
Referral Program: We value connection! Our referral program provides bonuses for successful referrals.
Strong culture and traditions: We foster a supportive and engaging work environment, highlighted by our annual “Binagora Week”, regular team gatherings and gifts for special occasions.