Concero
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This range is provided by Concero. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $130,000.00/yr - $140,000.00/yr
Analytics Engineer The
Analytics Engineer
bridges the gap between data engineering and analytics. They design, build, and maintain the data models and transformation pipelines that enable reliable reporting, dashboards, and advanced analytics across the organization.
Essential duties and responsibilities include the following.
Other duties may be assigned. Source System Analysis: Assess enterprise source systems, their data structures, and integration patterns to design reliable data ingestion and transformation processes.
Data Modeling & Organization: Build and maintain semantic data models and curated datasets for analytics and BI platforms.
Data Transformation: Develop efficient SQL and Python‑based transformation logic (e.g., dbt or similar frameworks) to produce trusted, reusable data assets
Master Data Alignment: Identify and document master data systems, ensuring alignment with enterprise data management and governance practices.
Optimization: Optimize Snowflake queries, schemas, and pipelines for performance and cost efficiency.
Documentation: Create and maintain technical documentation, data dictionaries, and metadata to promote transparency and reusability.
Collaboration: Partner with analysts, data scientists, and business teams to translate business needs into scalable data solutions.
Innovation & Best Practices: Stay current with modern analytics engineering practices, advocating for automation, modular data modeling, and scalable design patterns.
Educational and Skills Requirements:
Bachelor’s degree in related field
4-7 years’ work experience in related field
Snowflake Snowpro Core
dbt Analytics Engineering Certification is a plus
Demonstrable experience in analytics engineering, data analysis, and data management
Advanced SQL programming skills
Snowflake data warehouse (schema design, optimization, warehouse management)
Data modeling experience and knowledge of data modeling approaches (e.g., star schemas, dimensional modeling, semantic layers)
Experience with modern data transformation frameworks, especially dbt
Familiarity with BI platforms, with a preference for Tableau
Documenting pipelines, data models, and metadata (for technical and non-technical audiences)
Understanding of data management and data governance frameworks
Demonstrable ability to collaborate across technical and business teams to define requirements and deliver solutions.
Desired Technical Skills/Experience:
Python
Airflow
Data Catalogs
Innovation – Forward thinking, curious, & creative
Intermediate Analytical Skills– Ability to collect and analyze information, problem solve, and make decisions
Collaboration – Strong skills in inspiring the win-win-win
Self‑Starter - Ability to work independently
Travel Requirements:
Travel is rarely required for this position (0-1 trips per year).
Travel will be entirely domestic.
1-2 days in the office in Ft. Worth. Hours can be flexible because of traffic, etc.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Benefits
Medical insurance
Vision insurance
401(k)
#J-18808-Ljbffr
This range is provided by Concero. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $130,000.00/yr - $140,000.00/yr
Analytics Engineer The
Analytics Engineer
bridges the gap between data engineering and analytics. They design, build, and maintain the data models and transformation pipelines that enable reliable reporting, dashboards, and advanced analytics across the organization.
Essential duties and responsibilities include the following.
Other duties may be assigned. Source System Analysis: Assess enterprise source systems, their data structures, and integration patterns to design reliable data ingestion and transformation processes.
Data Modeling & Organization: Build and maintain semantic data models and curated datasets for analytics and BI platforms.
Data Transformation: Develop efficient SQL and Python‑based transformation logic (e.g., dbt or similar frameworks) to produce trusted, reusable data assets
Master Data Alignment: Identify and document master data systems, ensuring alignment with enterprise data management and governance practices.
Optimization: Optimize Snowflake queries, schemas, and pipelines for performance and cost efficiency.
Documentation: Create and maintain technical documentation, data dictionaries, and metadata to promote transparency and reusability.
Collaboration: Partner with analysts, data scientists, and business teams to translate business needs into scalable data solutions.
Innovation & Best Practices: Stay current with modern analytics engineering practices, advocating for automation, modular data modeling, and scalable design patterns.
Educational and Skills Requirements:
Bachelor’s degree in related field
4-7 years’ work experience in related field
Snowflake Snowpro Core
dbt Analytics Engineering Certification is a plus
Demonstrable experience in analytics engineering, data analysis, and data management
Advanced SQL programming skills
Snowflake data warehouse (schema design, optimization, warehouse management)
Data modeling experience and knowledge of data modeling approaches (e.g., star schemas, dimensional modeling, semantic layers)
Experience with modern data transformation frameworks, especially dbt
Familiarity with BI platforms, with a preference for Tableau
Documenting pipelines, data models, and metadata (for technical and non-technical audiences)
Understanding of data management and data governance frameworks
Demonstrable ability to collaborate across technical and business teams to define requirements and deliver solutions.
Desired Technical Skills/Experience:
Python
Airflow
Data Catalogs
Innovation – Forward thinking, curious, & creative
Intermediate Analytical Skills– Ability to collect and analyze information, problem solve, and make decisions
Collaboration – Strong skills in inspiring the win-win-win
Self‑Starter - Ability to work independently
Travel Requirements:
Travel is rarely required for this position (0-1 trips per year).
Travel will be entirely domestic.
1-2 days in the office in Ft. Worth. Hours can be flexible because of traffic, etc.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Benefits
Medical insurance
Vision insurance
401(k)
#J-18808-Ljbffr