Senior Data Engineer - Snowflake & Data Pipelines Expert

Alpha Financial Markets Consulting; United States; Hybrid; USD 140,000 - 185,000; Full time

Benefits offered by this job

Profit-sharing

401k matching

Paid time off 25 days

Medical coverage

Tech stipend

Laptop provided

Team-wide training

Certifications support

Job summary

Alpha FMC is seeking a Data Engineering & Operations Specialist to design, implement, and maintain data pipelines and architecture with Snowflake expertise. You will work on data integration, replication, and transformation within the insurance domain and collaborate with client teams to deliver scalable data solutions.

The role requires 4+ years in data engineering/consulting, proficiency in SQL/Python, cloud platforms, and strong communication to translate business needs into technical

Qualifications

• Bachelor's or Master's degree in computer science, information systems, or a related field is preferred.
• 4+ years of proven consulting experience at a recognized consulting firm or through an in-house consulting role.
• Experience within financial services, preferably within the insurance industry.
• Excellent consulting and problem-solving skills with familiarity with recognized project frameworks.

Responsibilities

• Design, implement, and maintain data pipelines, data integration solutions, and data architecture.
• Expertise in Snowflake to ensure scalable data storage, processing and analytics.
• Collaborate with cross-functional teams to solve insurance industry data challenges.
• Translate business needs into technical data solutions and present recommendations.

Skills

SQL

Python

Snowflake

ETL

Data warehousing

Cloud platforms

Data governance

Communication

Education

Bachelor's degree in a related field

Tools

Qlik Replicate

Qlik Compose

DBTLabs & Astronomer

Snowflake

Github

Job description

Alpha FMC is seeking a Data Engineering & Operations Specialist to design, implement, and maintain data pipelines and architecture with Snowflake expertise. You will work on data integration, replication, and transformation within the insurance domain and collaborate with client teams to deliver scalable data solutions.

The role requires 4+ years in data engineering/consulting, proficiency in SQL/Python, cloud platforms, and strong communication to translate business needs into technical