Lead Data Engineer — Spark & Graph Pipelines

Sayari

United States

On-site

USD 200,000 - 220,000

Full time

8 days ago

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Benefits offered by this job

Health benefits
401(k) match
Paid time off
Bonus & equity

Job summary

Sayari is seeking a Principal Data Engineer to lead our Data Resolution team. You will be a hands-on expert (70%) with Spark and graph data logic while guiding system architecture and long-term data-pipeline strategies. Your work powers global data products used by investigators and regulators.

You will mentor engineers, optimize cloud footprint, and drive major re-architectures to scale. Target salary aligns with market norms, with bonus and equity opportunities.

Qualifications

  • 8+ years of experience in the big data space.
  • Expert-level mastery of Apache Spark for large-scale data processing.
  • Strong experience with orchestration tools (Airflow) and cloud computing environments.
  • Hands-on experience architecting data flows into databases (Elasticsearch, Memgraph, Cassandra).
  • Demonstrated ability in system architecture, including IaC and schema design.
  • Builder mindset with improving architectures to meet scale.

Responsibilities

  • Design and implement Spark data logic with performance and latency goals.
  • Own architecture of graph build pipelines for scalability and resilience.
  • Plan re-architecture of data pipelines to meet evolving needs.
  • Optimize infrastructure-as-code and schema designs to reduce cloud costs.
  • Foster collaboration and provide design guidance across the team.
  • Review code and designs, mentoring engineers.

Skills

Big data experience
Apache Spark
Airflow
Cloud computing
Elasticsearch
Memgraph
Cassandra
Infrastructure as Code
Graph data
Entity resolution
Identity resolution
Graph databases

Job description

Sayari is seeking a Principal Data Engineer to lead our Data Resolution team. You will be a hands-on expert (70%) with Spark and graph data logic while guiding system architecture and long-term data-pipeline strategies. Your work powers global data products used by investigators and regulators.

You will mentor engineers, optimize cloud footprint, and drive major re-architectures to scale. Target salary aligns with market norms, with bonus and equity opportunities.

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