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Freelance Analytics Engineer Dbt Jobs in Kansas (NOW HIRING)

Analytics Engineer II

Overland Park, KS · On-site

$90K - $115K/yr

The Analytics Engineer II builds and delivers enterprise data products that support analytical and ... Develop and maintain scalable data models and data products using dbt and Snowflake in alignment ...

Role Summary: We are looking for a Staff Analytics Engineer to be a high-level individual ... Direct experience with Omni, with Redshift, or with dbt in production. Familiarity with deploying ...

Role Summary: We are looking for a Staff Analytics Engineer to be a high-level individual ... Direct experience with Omni, with Redshift, or with dbt in production. Familiarity with deploying ...

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

The Data Engineer designs, builds, and supports scalable data products and platform capabilities ... SQL, T-SQL, dbt, Python, and PySpark to support reporting, analytics, data science, and AI ...

Senior Director, Data Engineering

Newton, KS · On-site

$93K - $126K/yr

You will lead a team that operates at the modern data stack - Snowflake, dbt, Dagster, DataHub, and ... analytics engineers, and embedded BI teams build and ship. You will translate complex business ...

$125K - $165K/yr

Own the transformation layer in dbt: models, tests, sources, and documentation. Every dataset that ... Support Product and Data Analytics teams with curated datasets and high-performance query patterns.

$125K - $165K/yr

Own the transformation layer in dbt: models, tests, sources, and documentation. Every dataset that ... Support Product and Data Analytics teams with curated datasets and high-performance query patterns.

Senior Data Engineer

Kansas, KS · On-site +1

$93K - $127K/yr

... analytics. * Data Pipeline Development: Design and build ETL/ELT pipelines with Databricks, dbt ... Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent ...

Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

... dbt * Expertise in Python with a working knowledge of test-driven development * Experience ... Experience building solutions for analytical reporting and business intelligence * Experience with ...

Snowflake (or equivalent) as source of truth, dbt for modeling, Reverse ETL (Hightouch, Census) for ... Outreach or Salesloft, Gong, ZoomInfo, Clay, Apollo, LinkedIn Sales Navigator, product analytics

Experience with Python, R, dbt, BigQuery, Snowflake, Databricks, ETL workflows, data modeling, or analytics engineering practices. * Experience combining search data, web analytics data, content ...

... dbt * Expertise in Python with a working knowledge of test-driven development * Experience ... Experience building solutions for analytical reporting and business intelligence * Experience with ...

BI ETL Data Developer II * Ability to analyze complex data and develop practical, scalable ... dbt, Fivetran, Airflow, or similar). * Experience working with cloud data platforms such as ...

The scope of this job includes collaborating with data scientists, analysts, solutions partners ... Exposure to data transformation tools (dbt / Dataform) * Exposure to BI tools (Looker / Tableau ...

Data Engineer

Overland Park, KS · On-site

$113K - $135K/yr

The scope of this job includes collaborating with data scientists, analysts, solutions partners ... Exposure to data transformation tools (dbt / Dataform) * Exposure to BI tools (Looker / Tableau ...

The Staff Data Engineer is responsible for designing, building, and maintaining scalable data ... for analytics-ready solutions * Experience with Dataflow, Airflow, dbt, Dataform, or equivalent ...

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Freelance Analytics Engineer Dbt information

What is a freelance analytics engineer dbt?

A Freelance Analytics Engineer Dbt is a professional who specializes in building, maintaining, and optimizing data transformation workflows using dbt (data build tool) on a contract or project basis. They help organizations clean, transform, and document data in their data warehouses, enabling data teams to perform accurate and efficient analytics. As freelancers, they work with multiple clients, often remotely, to design data models, write SQL-based transformations, and ensure data quality. Their expertise with dbt allows businesses to scale their analytics capabilities without hiring full-time staff.

How does a freelance analytics engineer specializing in dbt typically collaborate with client teams during a project?

As a Freelance Analytics Engineer with expertise in dbt, you will often work closely with both data engineering and business analytics teams. Your role usually involves translating business requirements into data models using dbt, conducting regular syncs to align on project goals, and providing documentation or training to client teams. Communication is key, as you'll need to clarify data definitions, troubleshoot pipeline issues, and ensure your dbt models integrate smoothly into the client's broader data infrastructure. Effective collaboration and adaptability are essential, since you'll likely juggle multiple stakeholders and varying technical environments across different projects.

What are the key skills and qualifications needed to thrive as a freelance analytics engineer specializing in dbt, and why are they important?

To thrive as a Freelance Analytics Engineer specializing in dbt, you need strong SQL proficiency, experience with data modeling, and a solid understanding of data warehousing concepts, often backed by a degree in computer science, data analytics, or a related field. Familiarity with dbt (data build tool), cloud data platforms like Snowflake or BigQuery, version control systems such as Git, and relevant dbt certifications are highly beneficial. Excellent problem-solving abilities, strong communication skills, and the capacity to work independently help you stand out in freelance and client-facing environments. These skills are crucial for delivering accurate, scalable data solutions and maintaining productive client relationships in dynamic, project-based settings.

What is the difference between Freelance Analytics Engineer Dbt vs Freelance Data Analyst?

AspectFreelance Analytics Engineer DbtFreelance Data Analyst
Skills & CertificationsProficiency in dbt, SQL, data modeling, and data transformation toolsStrong SQL skills, data visualization, and reporting tools
Work EnvironmentFocus on data transformation, pipeline development, and analytics engineeringData interpretation, reporting, and business insights
Industry UsageUsed in data engineering and analytics teams for building data modelsUsed across various industries for analyzing and reporting data

Freelance Analytics Engineer Dbt specialists focus on building and maintaining data pipelines using dbt, emphasizing data transformation and modeling. Freelance Data Analysts primarily interpret data, create reports, and provide insights. While both roles require SQL skills, the analytics engineer role involves more technical data pipeline work, whereas data analysts focus on business reporting and analysis.

What are popular job titles related to Freelance Analytics Engineer Dbt jobs in Kansas?

For Freelance Analytics Engineer Dbt jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Freelance Analytics Engineer Dbt jobs in Kansas look for?

The top searched job categories for Freelance Analytics Engineer Dbt jobs in Kansas are:

What cities in Kansas are hiring for Freelance Analytics Engineer Dbt jobs?

Cities in Kansas with the most Freelance Analytics Engineer Dbt job openings:

Analytics Engineer II

Mariner Wealth Advisors

Overland Park, KS • On-site

$100 - $125/hr

Other

Posted 6 days ago


Job description

The Analytics Engineer II builds and delivers enterprise data products that support analytical and operational reporting across Mariner. This role translates defined business requirements into scalable data models and datasets in Snowflake using SQL, dbt, and Python while contributing to data quality, governance, and AI-enabled analytics capabilities. The Analytics Engineer II partners with Data Engineering, Business Intelligence, business analysts, and other stakeholders throughout the analytics lifecycle. This opportunity offers hands-on involvement in modern data platforms, semantic-layer development, and the implementation and ongoing support of data products across the organization.

Responsibilities
  • Collaborate with business stakeholders to gather and clarify data and reporting requirements and translate them into effective data solutions.

  • Develop and maintain scalable data models and data products using dbt and Snowflake in alignment with established architecture and engineering standards.

  • Partner with Data Engineering, Business Intelligence, and business teams to design and implement data products across the analytics lifecycle.

  • Contribute to semantic-layer models, business metrics, and standardized definitions that support AI-enabled agents, workflows, and consistent analytics.

  • Apply Snowflake capabilities, including data definition language (DDL) operations, role-based access control (RBAC), SQL functions, and Snowflake Cortex, in the development and support of data products.

  • Support data quality and governance by applying data validation, security, and quality practices throughout data development and implementation.

  • Participate in code reviews, version control, testing, and continuous integration and continuous delivery (CI/CD) processes in accordance with team standards.

  • Provide clear project updates, technical documentation, and implementation status to technical and business stakeholders.

Requirements
  • 3+ years of professional experience in analytics engineering, data engineering, or business intelligence.

  • 3+ years of experience with SQL and analytical databases such as Snowflake, Databricks, SQL Server, or Azure.

  • Experience developing and maintaining data models, pipelines, and reporting datasets.

  • Experience working in Agile environments and collaborating with cross-functional teams.

Preferred qualifications include a bachelor’s degree in computer science, engineering, data analytics, or a related technical field; experience in wealth management or financial services; experience with dbt for data modeling, testing, documentation, and deployment workflows; experience with Git and version control practices; understanding of extract, load, transform (ELT) and extract, transform, load (ETL) processes and tools; and exposure to semantic-layer concepts and tools.

Skills
  • Apply strong analytical, problem-solving, and data validation skills to develop reliable data solutions.

  • Communicate effectively with technical and business stakeholders, including providing clear documentation and project updates.

  • Collaborate across Data Engineering, Business Intelligence, and business teams to deliver solutions that meet defined needs.

  • Organize and coordinate work effectively across assigned projects while contributing within established engineering and delivery practices.

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We welcome your interest in being a part of our firm. We believe in giving associates progressive opportunities, actively nurturing professional growth and giving back to the community. We are dedicated to building a diverse culture where everyone has the support they need to achieve their career goals. We offer an innovative workplace and a culture that fosters camaraderie, teamwork and work-life balance.


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