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Contract Data Analytics Engineer Jobs in Kansas (NOW HIRING)

Mariner

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 ...

Locatee AG

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 ...

Locatee Ag

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 ...

Stripe

$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 ...

Colgate

Sr. Specialist, Quality Data Analytics

Topeka, KS · On-site

$97 - $137/hr

Job Title: Sr. Specialist, Quality Data Analytics Travel Required?: Travel - up to 10% of time ... Data Engineering: Designs and aggregates complex manufacturing datasets from ERP and laboratory ...

Kforce Technology Staffing

Data Architect

Lenexa, KS · On-site

$59.75 - $77/hr

Microsoft certification such as Fabric Analytics Engineer, Fabric Data Engineer, or Azure Solutions ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

Murphy-Hoffman Company

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

The Data Engineer partners closely with data architecture, analytics, and business teams to deliver ... data contracts, and solution designs that align with enterprise standards and business needs.

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All JobsContract Data Analytics Engineer JobsContract Data Analytics Engineer Jobs in Kansas

Contract Data Analytics Engineer information

What is the difference between Contract Data Analytics Engineer vs Data Analyst?

AspectContract Data Analytics EngineerData Analyst
CredentialsBachelor's in Data Science, Analytics, or related field; often some experience with cloud platformsBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentProject-based, often remote or contract roles within tech, finance, or consulting firmsFull-time or part-time roles in various industries, including healthcare, marketing, and finance
Employer & Industry UsageUsed by companies needing specialized, short-term data solutions, especially in tech and consultingWidely employed across industries for ongoing data reporting and insights

The Contract Data Analytics Engineer focuses on building and optimizing data pipelines and analytics solutions on a contractual basis, often requiring technical expertise in data engineering. In contrast, Data Analysts primarily interpret data, create reports, and support decision-making. Both roles require strong analytical skills, but the Contract Data Analytics Engineer emphasizes data infrastructure and engineering tasks.

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:

Contract Data Analytics Engineer jobs near you

Analytics Engineer II

Mariner

Overland Park, KS • On-site

$90K - $115K/yr

Full-time

Posted 15 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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