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Freelance Data Analytics Engineer Jobs in Kansas

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 operational reporting across Mariner. This role translates defined business requirements into ...

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Model Tango's data on the modern warehouse Design and build curated, well-documented, tested data models on Redshift that turn a deep and complex real estate and facilities data model into analytics ...

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Model Tango's data on the modern warehouse Design and build curated, well-documented, tested data models on Redshift that turn a deep and complex real estate and facilities data model into analytics ...

$132K/yr

Be the expert on our data analytics buyers - understand how data analysts, analytics engineers, and BI practitioners evaluate and adopt tools, and translate those insights into product roadmap ...

Process and Analytics Engineer

Wichita, KS · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role will work with internal customers in business, technical and operations teams applying engineering knowledge and data analytics to solve business problems and enable faster and more ...

Data Engineer

Kansas City, KS

$107K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As an Associate Analyst (Data Engineer) on the Data Analytics Team, you will be integral to this journey. Your primary area of responsibility will be building a strong data ecosystem which supports a ...

Data Engineer

Kansas City, KS · On-site

$107K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As an Associate Analyst (Data Engineer) on the Data Analytics Team, you will be integral to this journey. Your primary area of responsibility will be building a strong data ecosystem which supports a ...

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Showing results 1-20

Freelance Data Analytics Engineer information

What is the difference between Freelance Data Analytics Engineer vs Data Scientist?

AspectFreelance Data Analytics EngineerData Scientist
CredentialsOften requires a degree in data analysis, statistics, or related fields; certifications like Google Data Analytics or Microsoft Certified Data Analyst are commonTypically holds a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist or SAS Certified Data Scientist are common
Work EnvironmentFreelance, project-based, remote or on-site depending on client needsUsually employed full-time in organizations or research settings; some freelance roles exist but are less common
Industry UsageUsed across various industries including finance, marketing, healthcare, and e-commercePrimarily in tech, finance, healthcare, and research sectors

While both roles analyze data to extract insights, Freelance Data Analytics Engineers focus on building and maintaining data pipelines and dashboards on a project basis, whereas Data Scientists develop predictive models and advanced algorithms, often requiring deeper statistical expertise.

What are the most commonly searched types of Data Analytics Engineer jobs in Kansas?

The most popular types of Data Analytics Engineer jobs in Kansas are:

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

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

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

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

Analytics Engineer II

Mariner

Overland Park, KS • On-site

$90K - $115K/yr

Full-time

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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