Data Engineer - Snowflake

Experience: 4-6 years min

Job Description:

We are hiring our first dedicated data engineer to build and run our cloud data platform.

You will stand up a Snowflake instance, load data from our

operational systems into it, and keep it reliable, secure and affordable. You will work with

engineering, operations and leadership to turn raw data into trusted tables for reporting

and analytics.

What you will do

Design and build the data platform: account or tenant setup, environments, storage

layers (raw , cleaned, curated) and naming standards.

Build and maintain ingestion pipelines from PostgreSQL, Salesforce, SaaS APIs and flat

files, using batch and incremental (CDC) loads.

Model data for analytics with dbt or F abric notebooks: dimensional models, tests and

documentation.

Manage security and access: role-based access, row and column masking for PII, SSO

integration, and audit logging.

Monitor pipelines and data quality; set up alerting and fix failures.

Control cost: warehouse or capacity sizing, auto-suspend, query tuning and monthly

spend reports.

Manage the platform as code (Terraform, Git, CI/CD) and write runbooks so others can

operate it.

Support analysts and BI users (Power BI, Tableau or similar) with performant, well-

documented data sets.

Required qualifications

4–6 years in data engineering, analytics engineering or a similar role.

2+ years hands-on with Snowflake or Microsoft Fabric / Azure Synapse / Databricks in

production.

Strong SQL and Python.

Experience building EL T pipelines with tools such as dbt, Airflow , Fivetran, Azure Data

Factory or Fabric Data Pipelines.

Solid grasp of dimensional modeling, incremental loading and data quality testing.

Experience with cloud security basics: RBAC, encryption, secrets management,

handling PII.

Comfortable owning a platform end to end with little supervision.

Preferred qualifications

SnowPro Core / Advanced Data Engineer , or Microsoft Fabric Data Engineer Associate

(DP-700) / Fabric Analytics Engineer (DP-600).

Terraform or other infrastructure-as-code.

Experience with Salesforce data, A WS (S3, RDS) and PostgreSQL.

Experience in legal, healthcare or another regulated industry .

Power BI semantic model experience.

Success at 90 days

Platform live with dev and prod environments, access controls and cost guardrails.

Core sources loading on a schedule with monitoring.

First curated data models in use by reporting.

Location: Hybrid (must be local to Philadelphia)

Range: $135K–$150K