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Data Engineer with Snowflake, MongoDB & AI - W2 Contract

Remote • Posted 5 hours ago • Updated 5 hours ago

Contract W2

12 Months

No Travel Required

Remote

Depends on Experience

Fitment

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Job Details

Skills

Artificial Intelligence
Large Language Models (LLMs)
snowflake
MongoDB
Data Engineering

Summary

Required Skills

Core Platforms

Snowflake (5+ years hands-on): Architecture, virtual warehouses, Snowpipe, Streams & Tasks, Time Travel, cloning, secure data sharing, semi-structured (VARIANT/JSON) handling, stored procedures, performance and cost optimization.
MongoDB (3+ years hands-on): Data modelling, indexing strategy, aggregation framework, replication/sharding concepts, backup/restore, performance tuning, Atlas or self-managed operations.

Technical Capabilities

Languages: Advanced SQL and Python (pandas, requests, PySpark a plus); strong scripting (Bash).
Data Integration: ETL/ELT design patterns, batch and incremental/CDC loads, idempotency, error handling and retries. Tools such as dbt, Airflow, Informatica, Talend, Fivetran, or equivalent.
Data Concepts: Dimensional modeling, data warehousing, data lake/lakehouse concepts, data governance, metadata, and lineage.
Monitoring & Operations: Pipeline observability, alerting (e.g., Grafana, Splunk, Datadog, CloudWatch), SLA/SLO management, incident and problem management, on-call/support participation.

Good to Have

Certifications: SnowPro certification, MongoDB certification (Associate/Professional DBA or Developer).
Advanced Snowflake Features: Snowflake Snowpark or Cortex.
Domain Knowledge: Familiarity with DevOps toolchain data (Jenkins, SonarQube, GitHub/GitLab, Jira), DORA/engineering metrics, and DevOps practices.
AI Analytics: Exposure to AI/ML data preparation or AI-assistant usage analytics.

Qualifications

Education: Bachelor’s or Master’s in Computer Science, Engineering, or a related field (or equivalent experience).
Experience: 7+ years in data engineering with demonstrated production experience on Snowflake and MongoDB.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91088983
Position Id: 9107939
Posted 5 hours ago

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Jaffar Deen

Recruiter @ XFORIA Inc

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Data Engineer with Snowflake, MongoDB & AI - W2 Contract

Dice Job Match Score™

Job Details

Skills

Summary

Required Skills

Core Platforms

Technical Capabilities

Good to Have

Qualifications

Jaffar Deen

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