Data Engineer

About Binagora

At Binagora, we are a fully remote community of software crafters with over a decade of experience partnering with international clients. We collaborate with bold organizations to deliver high-quality, custom solutions that achieve tangible results. Our expertise spans various sectors, including Media & Entertainment, Solar Energy, Healthcare, Marketing, Audit & Compliance, Diversity & Inclusion, among many others. From initial strategy to final delivery, we go above and beyond, infusing creativity and aligning with business objectives to develop innovative products that challenge conventions and propel businesses forward.

Our Client

Our client provides the leading professional development platform purpose-built exclusively for accounting and advisory firms. They offer the only comprehensive solution for managing learning compliance, L&D initiatives, attendance tracking, and training content. Trusted by over 130 of the top 200 firms, their platform boasts over 99% client retention by helping administrators and compliance specialists save countless hours on manual tasks and eliminate risky errors.

Requirements

Responsibilities

We are seeking a self-directed, hands-on Data Engineer to build the data foundation that powers the entire organization. Today, our data lives across 250+ transactional tables refreshed weekly. You will own consolidating this into ~10 well-defined analytic tables, transitioning from full refreshes to daily (or better) incremental loads, and standing up a centralized analytics layer that BI, product, and AI can draw from with confidence.

Responsibilities

• 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).

Must Haves

• 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).

Nice to Haves

• Experience integrating SaaS third-party tools (HubSpot, Jira, Zendesk) into data lakes/warehouses.
• Experience partnering with AI/ML teams on feature stores and ML evaluation pipelines.
• Familiarity with data observability and quality monitoring tooling.
• Background in multi-tenant SaaS, edtech, or compliance platforms.

Benefits

• 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.