Senior Data Engineer - Snowflake & Data Pipelines

Alphafmcroles; United States; Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Profit sharing

401k matching

PTO 25 days

Medical, dental & vision

Commuting and device reimbursements

Laptop provided

Team training & retreats

Certifications/training support

Job summary

Alpha FMC is seeking a Data Engineering & Operations Specialist to design, implement, and maintain robust data pipelines and architectures. You will leverage Snowflake for scalable storage and analytics while collaborating with cross‑functional teams to deliver client solutions.

The role requires 4+ years as a Senior Data Engineer, strong SQL, Python, and cloud experience (AWS/Azure), and a deep understanding of ETL and data governance within financial services.

Qualifications

• Bachelor's or Master's degree in computer science, information systems, or a related field is preferred.
• Proven experience (4+ years) as a Senior Data Engineer with expertise in Snowflake and data integration tools.
• Strong SQL and scripting skills (Python, PowerShell) for data manipulation and automation.
• Experience with data modeling, ETL, data warehousing concepts, and data governance.

Responsibilities

• Design, implement, and maintain data pipelines, data integration solutions, and data architecture.
• Ensure scalable data storage, processing, and analytics with Snowflake.
• Collaborate with cross‑functional teams and stakeholders on data solutions.

Skills

Data engineering principles

SQL

Python

PowerShell

Data governance

Data modeling

ETL

Communication

Troubleshooting

Cross-functional collaboration

Education

Bachelors in CS/IS or related field

Masters in CS/IS or related field

Degree in Risk Mgmt/Business/Analytics/Engineering

Tools

Qlik Replicate

Compose

DBTLabs & Astronomer

Snowflake

Github

AWS or Azure cloud

Job description

Alpha FMC is seeking a Data Engineering & Operations Specialist to design, implement, and maintain robust data pipelines and architectures. You will leverage Snowflake for scalable storage and analytics while collaborating with cross‑functional teams to deliver client solutions.

The role requires 4+ years as a Senior Data Engineer, strong SQL, Python, and cloud experience (AWS/Azure), and a deep understanding of ETL and data governance within financial services.