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.
Nashville, United States
Open 5 months, first seen by us 155 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: ContractFrom the employer’s 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
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.
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.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$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.
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.
4 open jobs
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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
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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.
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.
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
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Nashville, United States
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