Pay
$122K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 321 postings in the last year. Stated ranges, not salaries paid.
Tyler, TX, US
Actively hiring, first seen by us 11 days agoEmployment type in the employer’s posting: Full TimeFrom the employer’s posting
Build and maintain ELT pipelines with Fivetran or similar tools
Develop and own dbt projects, including models, tests, and semantic layer
Own Snowflake architecture, access control, warehouses, and cost governance
Define data quality standards and build data lineage documentation
Designs, builds, and maintains scalable ELT pipelines using Fivetran or similar ingestion tools
Develops and owns dbt projects, including data models, tests, documentation, and semantic layer definitions.
with individual accountability for areas including database and schema design, role-based access control (RBAC), virtual warehouse management, cost governance, and performance optimization.
Defines and enforces data quality standards through dbt tests, monitoring pipelines, and data observability practices.
Actively hiringFirst seen by us 11 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$122K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 321 postings in the last year. Stated ranges, not salaries paid.
Day 11
Similar jobs usually come down between day 6 and day 47.
From 1,405 similar postings that came down. Coming down is not always a hire.
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd 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.
- Familiarity with Snowflake Cortex and AI/ML features, including LLM functions, document AI, and Snowpark. - Experience with Python for data engineering tasks, including Snowpark Python preferred. - Working knowledge of data modeling concepts including dimensional modeling (Kimball), Data Vault, and medallion architecture.
- Deep expertise in Snowflake, including virtual warehouses, Snowpipe, Streams and Tasks, RBAC, clustering, and cost optimization. - Advanced SQL skills and strong proficiency in dbt (data build tool), including Jinja templating, materializations, and incremental models. - Familiarity with Snowflake Cortex and AI/ML features, including LLM functions, document AI, and Snowpark.
- Demonstrated experience building and maintaining dbt projects in a production environment, including models, tests, macros, and documentation. - Experience with data ingestion tools such as Fivetran, Airbyte, or comparable ELT platforms. - Experience in banking, financial services, or a similarly regulated industry preferred.
Job Summary: The Senior Analytics Engineer is a senior technical role within Southside Bank’s data team, focused on building and maintaining the Snowflake data platform that supports analytics, reporting, and AI capabilities across the organization. This person will lead day-to-day work across data ingestion, dbt modeling, and data quality, and will be the team’s primary resource on Snowflake AI and Cortex features. Platform decisions are made collaboratively as a team, with this role carrying individual accountability for specific workstreams and initiatives. Essential Functions:
- Designs, builds, and maintains scalable ELT pipelines using Fivetran or similar ingestion tools to bring new data sources into the Snowflake environment. - Develops and owns dbt projects, including data models, tests, documentation, and semantic layer definitions. - Contributes to the architecture and maintenance of the Snowflake environment, with individual accountability for areas including database and schema design, role-based access control (RBAC), virtual warehouse management, cost governance, and performance optimization.
- Partners with business units, compliance, finance, and operations teams to understand data requirements and translate them into documented data models. - Defines and enforces data quality standards through dbt tests, monitoring pipelines, and data observability practices. - Builds and maintains data lineage documentation to ensure transparency and traceability across the data platform.
- Supports the development of dashboards, self-service analytics tools, and reporting layers used by business stakeholders across the Bank. - Monitors Snowflake platform releases, dbt updates, and developments in financial services AI/ML to evaluate applicability to the Bank’s environment. - Maintains confidentiality of all sensitive Bank information.
- 3+ years of hands-on, production-level Snowflake experience required; SnowPro Core or Advanced certification is a strong plus. - Demonstrated experience building and maintaining dbt projects in a production environment, including models, tests, macros, and documentation. - Experience with data ingestion tools such as Fivetran, Airbyte, or comparable ELT platforms.
Essential Functions: - Designs, builds, and maintains scalable ELT pipelines using Fivetran or similar ingestion tools to bring new data sources into the Snowflake environment. - Develops and owns dbt projects, including data models, tests, documentation, and semantic layer definitions.
- Develops and owns dbt projects, including data models, tests, documentation, and semantic layer definitions. - Contributes to the architecture and maintenance of the Snowflake environment, with individual accountability for areas including database and schema design, role-based access control (RBAC), virtual warehouse management, cost governance, and performance optimization. - Serves as the team’s lead on Snowflake AI and Cortex features, driving the implementation of LLM-powered analytics, document intelligence, and AI-driven workflows in partnership with business stakeholders and teammates.
- Contributes to the architecture and maintenance of the Snowflake environment, with individual accountability for areas including database and schema design, role-based access control (RBAC), virtual warehouse management, cost governance, and performance optimization. - Serves as the team’s lead on Snowflake AI and Cortex features, driving the implementation of LLM-powered analytics, document intelligence, and AI-driven workflows in partnership with business stakeholders and teammates. - Partners with business units, compliance, finance, and operations teams to understand data requirements and translate them into documented data models.
- Minimum of 5 years of experience in data engineering, analytics engineering, or a closely related data role; 8+ years preferred. - 3+ years of hands-on, production-level Snowflake experience required; SnowPro Core or Advanced certification is a strong plus. - Demonstrated experience building and maintaining dbt projects in a production environment, including models, tests, macros, and documentation.
Necessary Skills: - Deep expertise in Snowflake, including virtual warehouses, Snowpipe, Streams and Tasks, RBAC, clustering, and cost optimization. - Advanced SQL skills and strong proficiency in dbt (data build tool), including Jinja templating, materializations, and incremental models.
- Advanced SQL skills and strong proficiency in dbt (data build tool), including Jinja templating, materializations, and incremental models. - Familiarity with Snowflake Cortex and AI/ML features, including LLM functions, document AI, and Snowpark. - Experience with Python for data engineering tasks, including Snowpark Python preferred.
Complete your application on workforcenow.adp.com. The employer’s form will show what is required.
Already applied? Track this application
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Position Title:
Senior Analytics Engineer
FSLA Status:
Exempt (17C)
Reports to:
Director of Data Analytics and Strategy
Location:
Tyler or Dallas Fort Worth, Texas
Job Summary:
The Senior Analytics Engineer is a senior technical role within Southside Bank’s data team, focused on building and maintaining the Snowflake data platform that supports analytics, reporting, and AI capabilities across the organization. This person will lead day-to-day work across data ingestion, dbt modeling, and data quality, and will be the team’s primary resource on Snowflake AI and Cortex features. Platform decisions are made collaboratively as a team, with this role carrying individual accountability for specific workstreams and initiatives.
Essential Functions:
Additional Functions:
Required Education/Experience:
Necessary Skills:
Physical Activity/Dexterity:
Physical Environment Demands:
Work Schedule/Hours:
Travel:
Southside Bank uses E-Verify to confirm the employment eligibility of all newly hired employees.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Tyler, TX, US
Tyler or Dallas Fort Worth, Texas - Only Candidates currently residing in the Texas area will be considered. No relocation assistance or fully remote options available. - Open to a hybrid work schedule - 3 days in the office/2 days working from home. Job Summary:
No clear work-authorization passage found. Eligibility is unconfirmed.