Innovative IT Solutions Inc.

Snowflake Data Engineer

Innovative IT Solutions Inc.Contract
California
10 - 20 YearsMar 13th, 2026
98 ViewsBe an Early Applicant
Required Skillset:
DBT test

Job Description

Role : Snowflake Data Engineer
Location: Boston, MA
Mode: Contract

Competencies: 10+ years experience required.

Role Summary:
We are seeking a hands-on Snowflake Data Engineer to design, build, optimize, and productionize data pipelines and data products on Snowflake for enterprise analytics use cases. The role requires deep expertise in SQL, ELT/ETL orchestration, data modeling (3NF/Star/Snowflake), performance tuning, cost optimization, and secure data sharing in Snowflake. You’ll collaborate with Product Owners, Data Architects, Analytics Engineers, and Platform teams to deliver reliable, scalable, and well-governed data solutions for TJX.

Required Skills & Experience:
Must have:
Snowflake (Hands-on Expert):

● Warehouses, Databases, Schemas, Roles & Grants (RBAC)
Stages (internal/external), File Formats, COPY INTO, Snowpipe, Streams & Tasks
● Time Travel, Cloning, Zero-Copy Clones, Fail-safe awareness
Query tuning (clustering keys, micro-partitions, caching, pruning)
Secure data sharing, masking policies, tags, governance features
BCR, DR, Storage integration and Parameters
● Materialized / Semantic Views, Dynamic Tables, Stream Lit, Snowflake Architecture
● SQL Mastery: Strong, production-grade SQL for large-scale transformations.
Good to have:
● Programming: Python (preferred) for ELT utilities, framework integration, data quality checks; dbt for transformation-as-code is a strong plus.
Orchestration: Airflow (preferred) or ADF/Glue/Composer; scheduling, dependencies, retry policies, SLAs.
● Data Modeling: Dimensional modeling (Kimball), SCD Type 1/2; normalization/denormalization trade-offs; exposure to data vault is a plus.
Cloud Platforms: Experience with at least one major cloud (AWS/Azure/GCP) for storage (S3/ADLS/GCS), IAM, networking basics, and secrets management.
● Version Control & CI/CD: Git workflows, branching, code reviews, packaging, environment promotion.
● Data Quality: Testing frameworks (dbt tests, Great Expectations) and monitoring/observability.

Soft Skills:
● Clear communicator, documentation-first mindset, proactive problem solver, vendor-collaboration friendly."
 

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