Data Engineering Talent

Pipeline architects, analytics engineers, and data platform builders who turn raw data into your organization's most valuable asset.

110+
Data Engineering Placements
50PB+
Data Managed by Our Hires
95%
Pipeline Reliability

Build the Foundation for Data-Driven Decisions

Data engineering is the backbone of every analytics, ML, and BI initiative. Without reliable pipelines, clean transformations, and well-governed data platforms, downstream teams are flying blind. Matthor places data engineers who have built and operated modern data stacks at scale, from ingestion to serving layer.

Key Roles We Fill

Data Engineer

Analytics Engineer

Data Platform Architect

ML Operations Engineer

Data Pipeline Developer

Data Quality Engineer

In-Demand Skills

Apache Spark & Distributed Computingdbt & Modern ELT PatternsApache Airflow / Dagster OrchestrationStreaming (Kafka, Flink, Kinesis)Data Warehousing (Snowflake, BigQuery, Redshift)Data Quality & Governance

Why Matthor for Data Engineering

Data engineering candidates often list tools without depth. Our vetting process tests real pipeline design thinking: how they handle schema evolution, late-arriving data, and backfill strategies. We place engineers who have operated Spark clusters in production, designed idempotent pipelines, and built the data contracts that keep analytics teams productive.

Ready to Build Your Dream Team?

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