Senior Data Platform Engineer – Snowflake & Cloud Pipelines

Huxley

Boston (MA)

Hybrid

USD 115,000 - 150,000

Full time

2 days ago
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Benefits offered by this job

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Job summary

Huxley in Boston, MA is seeking a Senior Associate on the Data Products team to own and enhance data products supporting finance, operations, and investments. You will work in a modern cloud data environment to build scalable data solutions, with a hybrid work model (3 days in office per week).

The role offers compensation ranging from $115k to $150k plus bonus and benefits, and requires 6+ years in data engineering or related fields with Snowflake, AWS, Python, SQL, and data governance

Qualifications

  • 6+ years of experience in Data Engineering, Data Platform Engineering, or Software Engineering.
  • Deep expertise with Snowflake and enterprise data warehousing platforms.
  • Strong SQL, data modeling, and Python development experience.
  • Experience with Infrastructure-as-Code tools such as Terraform and CI/CD pipelines.
  • Hands-on experience with workflow orchestration tools (e.g., Airflow).
  • Familiarity with dbt and modern data architecture best practices.
  • Knowledge of data governance
  • Experience working within AWS cloud environments.

Responsibilities

  • Own end-to-end data ingestion, modeling, and delivery for business-critical datasets.
  • Design, build, and maintain scalable data pipelines and data products.
  • Develop and enforce data quality, lineage, certification, and governance frameworks.
  • Manage platform reliability, monitoring, alerting, and incident resolution.
  • Administer cloud data platform infrastructure, security, access controls, and cost optimization.
  • Implement Infrastructure-as-Code and CI/CD processes for data platforms.

Skills

SQL
Python
Airflow
Terraform
dbt
Data modeling
AWS

Tools

Snowflake
Data warehousing
CI/CD

Job description

Huxley in Boston, MA is seeking a Senior Associate on the Data Products team to own and enhance data products supporting finance, operations, and investments. You will work in a modern cloud data environment to build scalable data solutions, with a hybrid work model (3 days in office per week).

The role offers compensation ranging from $115k to $150k plus bonus and benefits, and requires 6+ years in data engineering or related fields with Snowflake, AWS, Python, SQL, and data governance

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