Senior Analytics Engineer

Remote in New York, NY, US • Posted 4 hours ago • Updated 4 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Apache Airflow
  • Data Engineering
  • SQL
  • Optimization
  • Data Quality
  • Extract
  • Transform
  • Load
  • ELT
  • Data Modeling
  • Orchestration
  • Python
  • Data Warehouse
  • Communication
  • Collaboration
  • Generative Artificial Intelligence (AI)
  • Business Analysis
  • AML
  • Screening
  • Know Your Customer
  • Fraud
  • Snow Flake Schema
  • Databricks
  • Warehouse
  • GitHub
  • Workflow
  • Continuous Integration
  • Continuous Delivery
  • Dashboard
  • Tableau
  • Statistics
  • Root Cause Analysis
  • Cryptography
  • Blockchain
  • Analytics
  • Data Integration
  • Computer Science

Summary

Job Description

Role: Senior Analytics Engineer
Location: US (Remote)
Duration: 12 months + Potential to extend / convert


Top 3 Skills: Airflow | SQL | Snowflake

Duties:
Key Requirements:
  • 4+ years of strong experience with Apache Airflow, SQL, and Snowflake -top priority.
  • 5+ years of experience in Analytics Engineering, Data Engineering, or similar data-heavy roles.
  • Advanced SQL skills including complex transformations, optimization, and data quality checks.
  • Hands-on experience with ETL/ELT pipelines, data modeling, and orchestration.
  • Strong Python skills for automation and data pipelines.
  • Experience with dbt or similar transformation tools is a plus.
  • Familiarity with GitHub, CI/CD, and modern data warehouse/lakehouse environments.
  • Experience in AML/BSA, transaction monitoring, fraud, KYC/EDD, sanctions, or investigations is highly preferred.
  • Strong communication, ownership, and ability to work across teams in a regulated environment.
  • Ability to responsibly leverage Generative AI/coding copilots in daily workflows.

Skills:
Nice to haves:
  • Domain experience in BSA/AML, Transaction Monitoring, sanctions screening, KYC/EDD, fraud, or investigations.
  • Familiarity with Snowflake/Databricks and modern warehouse/lakehouse patterns.
  • Experience with GitHub-based workflows, CI/CD for data, and data observability tools.
  • Experience building dashboards in Looker/Tableau/Superset (or equivalent).
  • Applied statistics/experimentation, root-cause analysis, or detection performance measurement.
  • Interest in crypto, blockchain analytics, or on-chain/off-chain data integration.
Education:
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Meet Your Recruiter

Sanjeev Kushwaha
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10375359
  • Position Id: a7fca2c08cfd88940f8404fa8ebd0c92
  • Posted 4 hours ago
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