Senior Data Engineer: Snowflake & Data Pipelines

Alpha Financial Markets Consulting; New York (NY); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

401k matching

25 days of annual PTO

Supplemental medical, dental andVision

Commuting, mobile phone, home internet

Laptop provided

Team training and retreats

Certifications sponsorship with 5 paid

Job summary

Alpha FMC is seeking a Senior Data Engineer to design and maintain data pipelines and architectures for insurance-focused analytics. You will work closely with clients and internal teams to collect data, build scalable solutions, and enable data-driven decisions using Snowflake and related tools.

Ideal candidates have 4+ years in data engineering or consulting, strong SQL and scripting skills (Python/PowerShell), and expertise in Snowflake, data warehousing, and ETL processes.

Qualifications

• Bachelor’s or Master’s degree in CS/IS or related field preferred.
• 4+ years of proven consulting or equivalent Senior Data Engineer experience.
• Experience with Snowflake data storage, ingestion, and optimization.
• Strong skills in SQL and scripting (Python, PowerShell).
• Experience with data integration tools and data governance concepts.

Responsibilities

• Design, implement, and maintain data pipelines and data integration solutions.
• Build and optimize data architecture for analytics and reporting.
• Collaborate with cross-functional teams and stakeholders to solve data challenges.

Skills

Data engineering

Data modeling

ETL

SQL

Python

PowerShell

Communication

Collaboration

Education

Bachelor’s or Master’s degree in CS/IS/related

Tools

Snowflake

Qlik Replicate

Qlik Compose

Github

DBTLabs

Astronomer

AWS

Azure

Job description

Alpha FMC is seeking a Senior Data Engineer to design and maintain data pipelines and architectures for insurance-focused analytics. You will work closely with clients and internal teams to collect data, build scalable solutions, and enable data-driven decisions using Snowflake and related tools.

Ideal candidates have 4+ years in data engineering or consulting, strong SQL and scripting skills (Python/PowerShell), and expertise in Snowflake, data warehousing, and ETL processes.