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Data Engineer (Snowflake + Coalesce)

Neumeric Technologies Corporation

Remote or Irving, Texas • Today

Easy Apply

Full-time, Part-time, Third Party, Contract

$Open

Data Engineer With Coalesce

Magicforce

Remote • Today

Easy Apply

Contract, Third Party

Depends on Experience

Job Details

Skills

Orchestration
Extract
Transform
Load
ELT
WebKit
Database
Meta-data Management
Data Quality
Documentation
SQL
Python
Data Engineering
API
Cloud Computing
Snow Flake Schema
Change Data Capture
Replication
Git
Continuous Integration
Continuous Delivery
Agile
Artificial Intelligence
Amazon Web Services
Microsoft Azure
Cloud Storage

Summary

Hello,

Hope you are doing good,

Position: Data Engineer (Snowflake + Coalesce)

Location: Remote

Duration: Contract Opportunity

Job Description:

We are seeking skilled Data Engineers with strong expertise in Snowflake + Coalesce, data-pipeline development, orchestration, ETL/ELT, cloud data platforms, and modern data-engineering practices.

Build ingestion pipelines into Bronze layer from databases, files, and APIs.

Develop Silver and Gold transformations using dbt.

Enhance reusable metadata-driven ingestion frameworks.

Implement data quality, error handling, reconciliation, and observability.

Support profiling, defect resolution, and operational documentation.

Participate in Agile ceremonies and code reviews.

What we're looking for

Educational Qualifications: -

Engineering Degree BE / ME / BTech / M Tech / B.Sc. / M.Sc.

Technical certification in multiple technologies is desirable.

Mandatory Technical skills: -

Snowflake (minimum 5+ years hands-on development)

Coalesce (Catalog, Quality, Transformation)

Advanced SQL

Python for data engineering and API integrations

dbt (Core or Cloud) with production experience

Airflow, Azure Data Factory, or Snowflake Tasks

CDC/Replication tools (Fivetran, Qlik Replicate, Debezium, etc.)

Git and CI/CD

Agile delivery experience

Claude AI

Good to have skills: -

SnowPro Core certification

AWS/Azure cloud storage integrations

Experience with large-scale source consolidation programs

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: 10123174
Position Id: 2026-13819
Posted 3 hours ago

Fitment

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Transform
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WebKit
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Summary

Hello,

Hope you are doing good,

Position: Data Engineer (Snowflake + Coalesce)

Location: Remote

Duration: Contract Opportunity

Job Description:

Build ingestion pipelines into Bronze layer from databases, files, and APIs.

Develop Silver and Gold transformations using dbt.

Enhance reusable metadata-driven ingestion frameworks.

Implement data quality, error handling, reconciliation, and observability.

Support profiling, defect resolution, and operational documentation.

Participate in Agile ceremonies and code reviews.

What we're looking for

Educational Qualifications: -

Engineering Degree BE / ME / BTech / M Tech / B.Sc. / M.Sc.

Technical certification in multiple technologies is desirable.

Mandatory Technical skills: -

Snowflake (minimum 5+ years hands-on development)

Coalesce (Catalog, Quality, Transformation)

Advanced SQL

Python for data engineering and API integrations

dbt (Core or Cloud) with production experience

Airflow, Azure Data Factory, or Snowflake Tasks

CDC/Replication tools (Fivetran, Qlik Replicate, Debezium, etc.)

Git and CI/CD

Agile delivery experience

Claude AI

Good to have skills: -

SnowPro Core certification

AWS/Azure cloud storage integrations

Experience with large-scale source consolidation programs

Dice Id: 10123174
Position Id: 2026-13819
Posted 3 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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