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Data Migration Engineer

Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Contract — employment source
Employment type in the employer’s posting: Contract
From the employer’s posting

What you’ll work on

Full posting
  • Meet business users to document current workflows, reports and data dependencies

  • Identify missing data feeds and define requirements to close gaps in Snowflake

  • Replicate stored procedures and views in Snowflake with consistent behavior

  • Validate record counts and data accuracy between source and Snowflake

  • Document findings and assist in knowledge transfer to internal teams

From the employer’s posting
Meet with business stakeholders to understand how they currently use the system
Identify missing or incomplete data feeds required to support business workflows.
Ensure equivalent logic is replicated in Snowflake with consistent behavior.
Validate record counts, data accuracy, and output consistency between source and Snowflake environments.
Document findings, assumptions, and decisions to support long-term maintainability.

Posting record

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Open 5 monthsWe first saw this posting 155 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 2, 2026155 days ago
Recorded sightings
73
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 155

Up longer than most. Similar jobs usually come down between day 6 and day 54.

From 10,782 similar postings that came down. Coming down is not always a hire.

Kanini Software Solutions is hiring

4 open jobs

  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
  • Snowflake
  • SQL Server
Where the posting names them
Title : Data Migration Engineer – SQL Server to Snowflake & Matillion for a Finance Data Platform Location : Nashville TN
Strong experience with Snowflake for data storage, querying, and validation Hands-on experience with SQL Server (on-prem, preferably SQL Server 2016) Advanced SQL skills, including stored procedures and views
Hands-on experience with SQL Server (on-prem, preferably SQL Server 2016) Advanced SQL skills, including stored procedures and views Experience rebuilding and migrating data pipelines (not just lift-and-shift)
2. Data Feed Assessment & Gap Analysis Review existing data feeds currently available in Snowflake (e.g., QuickBooks, NetSuite). Identify missing or incomplete data feeds required to support business workflows.
Identify missing or incomplete data feeds required to support business workflows. Perform gap analysis between the current environment and Snowflake to determine additional ingestion or transformation needs. Define requirements for building or enhancing data feeds to close identified gaps.
Analyze existing database objects such as stored procedures, views, and transformations used in the source environment. Ensure equivalent logic is replicated in Snowflake with consistent behavior. Validate record counts, data accuracy, and output consistency between source and Snowflake environments.
Ensure equivalent logic is replicated in Snowflake with consistent behavior. Validate record counts, data accuracy, and output consistency between source and Snowflake environments. Support testing and reconciliation efforts to ensure parity during migration.
Work closely with the core engineering and data teams throughout the migration process. Help ensure a smooth transition from the legacy environment to Snowflake with minimal disruption to business users. 5. Project Enablement & Knowledge Transfer
Assist in knowledge transfer to internal teams to ensure post-migration self-sufficiency. Support adoption by ensuring business users are confident in the Snowflake-based solution. Required Skills & Experience
Required Skills & Experience Strong experience with Snowflake for data storage, querying, and validation Hands-on experience with SQL Server (on-prem, preferably SQL Server 2016)
Hands-on experience with Matillion (mandatory) Experience building and maintaining ETL pipelines into Snowflake Ability to identify missing data feeds and build new integrations

Your next step

Complete your application on kanini.zohorecruit.in. The employer’s form will show what is required.

Already applied? Track this application

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Title : Data Migration Engineer – SQL Server to Snowflake & Matillion for a Finance Data Platform

Location : Nashville TN

Duration : Long Term

 

1. Business Engagement & Current-State Understanding

Meet with business stakeholders to understand how they currently use the system, including day-to-day workflows, reports, and decision-making processes.

Document current business use cases, dependencies, and expectations from the data platform.

Act as a liaison between business users and the technical team to ensure requirements are clearly understood and translated.

2. Data Feed Assessment & Gap Analysis

Review existing data feeds currently available in Snowflake (e.g., QuickBooks, NetSuite).

Identify missing or incomplete data feeds required to support business workflows.

Perform gap analysis between the current environment and Snowflake to determine additional ingestion or transformation needs.

Define requirements for building or enhancing data feeds to close identified gaps.

3. Data Object & Logic Replication

Analyze existing database objects such as stored procedures, views, and transformations used in the source environment.

Ensure equivalent logic is replicated in Snowflake with consistent behavior.

Validate record counts, data accuracy, and output consistency between source and Snowflake environments.

Support testing and reconciliation efforts to ensure parity during migration.

4. Migration Support & Collaboration

Work closely with the core engineering and data teams throughout the migration process.

Help ensure a smooth transition from the legacy environment to Snowflake with minimal disruption to business users.

5. Project Enablement & Knowledge Transfer

Document findings, assumptions, and decisions to support long-term maintainability.

Assist in knowledge transfer to internal teams to ensure post-migration self-sufficiency.

Support adoption by ensuring business users are confident in the Snowflake-based solution.

 

Required Skills & Experience

Strong experience with Snowflake for data storage, querying, and validation

Hands-on experience with SQL Server (on-prem, preferably SQL Server 2016)

Advanced SQL skills, including stored procedures and views

Experience rebuilding and migrating data pipelines (not just lift-and-shift)

ETL & Data Integration

Hands-on experience with Matillion (mandatory)

Experience building and maintaining ETL pipelines into Snowflake

Ability to identify missing data feeds and build new integrations

Experience working with multiple inbound data sources

Finance & Source Systems (Preferred)

Experience working with finance or accounting data

Familiarity with NetSuite and/or QuickBooks is a strong plus

Understanding of data accuracy, reconciliation, and reporting needs



Source details

View original posting ↗

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Pay

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Location & working pattern

Nashville, United States

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