Senior Data Engineer

Merkle Science

. Design and build scalable, high-throughput data pipelines and platform systems for blockchain data across 30+ chains .

Posted 11/11/2026full-timeNew York City • New York • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating scalable data systems, with a strong focus on Python, Go, and ClickHouse for high-throughput data pipelines. Proven ability to mentor engineers and contribute to architectural discussions while ensuring operational accountability.

Highest-signal resume keywords

Python ProgrammingGo ProgrammingClickHouse OptimizationDatabricks Pipeline DevelopmentETL/ELT Pipeline Management

ATS Keywords

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Hard Skills

SQLAsyncioConcurrencyIncremental Data ModelsKafkaAirflowKubernetesDockerTerraformHelm

Soft Skills

MentoringCollaborationProblem-Solving

Tools & Technologies

DatabricksPySparkDelta LakeUnity CatalogGoogle CloudAWSOpenTelemetryPrometheusGrafanaArgoCD

Industry Keywords

Blockchain DataFintechComplianceAMLData Workloads

Tech Stack

Tools & technologies

AirflowAWSCloudDockerETLGrafanaGRPCKafkaKubernetesPrometheusPySparkPythonSQLTerraformUnityGo

About the role

Key responsibilities & impact

Design and build scalable, high-throughput data pipelines and platform systems for blockchain data across 30+ chains
Build backend data services and loaders in Go and Python
Design and evolve data models and analytical workloads in ClickHouse
Tune ClickHouse workloads for sub-second queries
Build incremental, idempotent Databricks pipelines over billions of rows and tens of terabytes
Improve platform scale, reliability, freshness, performance, and cost efficiency
Investigate and resolve complex performance and reliability problems
Collaborate with product, analytics, and investigations teams to turn needs into platform designs
Contribute to architecture discussions, design reviews, and code reviews
Mentor engineers and strengthen engineering and operational practices
Own work end to end from design document through production, including operational accountability

Requirements

What you’ll need

5+ years building and operating production data systems, including ETL and ELT pipelines
At least 2 years owning systems that other engineers depend on
Expert Python and strong SQL
Typed, tested code; asyncio and concurrency experience
Experience building incremental data models over billions of rows
Production experience with Go for backend services, high-throughput services, or data loaders
Production experience with ClickHouse, including MergeTree schema and sort-key design, materialised views, bulk loads, and query tuning
Production experience with Databricks, PySpark, Delta Lake, and Unity Catalog
Experience designing incremental and idempotent tables and managing compute cost
Hands-on experience with pipelines over billions of rows and tens of terabytes
Understanding of partitioning, clustering, and file sizing impacts on cost and latency
Production experience with Kafka, Airflow, and Kubernetes
Understanding of delivery semantics and idempotent writes
Experience handling backfills and failures
Experience running data workloads with Docker and Helm
Google Cloud preferred; AWS acceptable
Instrumentation, runbooks, post-incident reviews, and design-document writing
Blockchain data experience is nice to have, including EVM, UTXO, or non-EVM chain data models and JSON-RPC or gRPC
Graph or distributed key-value store experience is nice to have
Infrastructure as code, GitOps, and observability experience is nice to have
Experience with Terraform, Helm, ArgoCD, OpenTelemetry, Prometheus, Grafana, and load-test design is nice to have
Experience building platforms serving multiple data sources, datasets, or product teams is nice to have
AI-assisted development and fintech, compliance, or AML experience is nice to have

Benefits

Comp & perks

Excellent health insurance
Flexible time off
Learning & development initiatives
Hours designed to provide work/life balance
Team-building sessions
Mental health discussions and support
Industry-leading compensation
Generous equity
Career growth opportunities