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Snowflake Jobs in Kansas (NOW HIRING)

Security Benefit

Data Engineer

Topeka, KS · On-site

$107K - $129K/yr

Build and maintain Snowflake-native transformations, data marts, and analytics-ready datasets * Ensure data quality through validation logic, monitoring, automated testing, and alerting * Collaborate ...

hcmportal

Data Engineer

Topeka, KS · On-site +1

$107K - $129K/yr

Build and maintain Snowflake-native transformations, data marts, and analytics-ready datasets * Ensure data quality through validation logic, monitoring, automated testing, and alerting * Collaborate ...

Mariner

Analytics Engineer II

Overland Park, KS · On-site

$90K - $115K/yr

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 ...

Security Benefit

Senior Data Architect

Topeka, KS · On-site

$120 - $160/hr

Architect data solutions on Snowflake, Coalesce, Fivetran, and AWS (Lambda, Glue, S3, Step Functions, API Gateway); ensure alignment between ingestion, transformation, and storage patterns under the ...

hcmportal

Senior Data Architect

Topeka, KS · On-site +1

$63.25 - $84.75/hr

Architect data solutions on Snowflake, Coalesce, Fivetran, and AWS (Lambda, Glue, S3, Step Functions, API Gateway); ensure alignment between ingestion, transformation, and storage patterns under the ...

Security Benefit

Senior Data Architect

Topeka, KS · On-site

$63.25 - $84.75/hr

Architect data solutions on Snowflake, Coalesce, Fivetran, and AWS (Lambda, Glue, S3, Step Functions, API Gateway); ensure alignment between ingestion, transformation, and storage patterns under the ...

PayIt

Associate Data Engineer

Kansas City, KS

Experience with RDBMS, NoSQL and Cloud data storage technologies - AWS DocumentDB, MongoDB, Postgres and Snowflake experience preferred * Experience with building ETL solutions and transforming data ...

PayIt

Data Engineer

Kansas City, KS

$110K - $132K/yr

Experience with RDBMS, NoSQL and Cloud data storage technologies - AWS DocumentDB, MongoDB, Postgres and Snowflake experience preferred * Experience with building ETL solutions and transforming data ...

Alarm.com

DevOps Engineer

Lawrence, KS

$49.75 - $68.25/hr

... Snowflake, Redis, MySQL, PostgreSQL, and Microsoft SQL Server. - Contribute to Infrastructure as Code, configuration management, and deployment automation efforts to improve consistency and ...

Global Partners

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 a maturing portfolio of streaming, ML, and agentic capabilities - while embedding agentic ...

Ascend Learning

Data Architect

Leawood, KS · On-site

$108K - $154K/yr

Architect modern data ecosystems including cloud data warehouses, lakehouse platforms, and medallion architectures using dimensional models (Star/Snowflake). * Develop and govern data models ...

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Snowflake information

What is a Snowflake?

A Snowflake job typically refers to tasks executed within Snowflake, a cloud-based data platform. These jobs can include data loading, transformation, querying, or scheduled tasks using Snowflake's task and stream features. They help automate data workflows, improve performance, and ensure efficient data management within the Snowflake ecosystem.

What are the key skills and qualifications needed to thrive in the Snowflake position?

To thrive as a Snowflake professional (such as a Snowflake Data Engineer or Administrator), you need a solid understanding of cloud data warehousing, SQL, and data modeling, typically supported by a degree in computer science or related fields. Experience with the Snowflake platform, data integration tools (like Informatica or Talend), and relevant certifications such as SnowPro are highly valuable. Strong problem-solving abilities, communication skills, and adaptability help professionals translate business requirements into data solutions and work effectively with cross-functional teams. These competencies are crucial for optimizing data workflows, ensuring system performance, and supporting the data-driven goals of an organization.

What are some common challenges faced by Snowflake professionals, and how can they be addressed?

Snowflake professionals often encounter challenges such as optimizing query performance, managing data security and access controls, and integrating Snowflake with multiple data sources. Addressing these challenges requires continuous learning about the platform’s evolving features, proactively monitoring query and storage usage, and collaborating closely with data architects, DevOps, and IT security teams. Staying up to date with best practices and regularly attending Snowflake community webinars or training can also be extremely helpful. Most companies encourage knowledge sharing and collaboration, so being proactive in problem-solving will help you thrive in this role.

Does Snowflake offer remote jobs?

Snowflake offers remote job opportunities for various roles, including data engineers, analysts, and software engineers. Many positions are fully remote or have flexible work arrangements, often requiring proficiency with cloud platforms and collaboration tools. Candidates should review specific job listings for location and remote work options.

Is Snowflake a good career?

A career as a Snowflake professional typically involves working with cloud data platforms, data warehousing, and SQL skills. It offers opportunities in data engineering, analytics, and cloud computing, with demand driven by the growth of data-driven decision making. Certifications and continuous learning can enhance job prospects in this field.

What exactly does Snowflake do?

A Snowflake professional typically works with the Snowflake data platform, which is a cloud-based data warehousing service. They manage data integration, optimize queries, and ensure data security within the platform, often using SQL and cloud infrastructure skills. The role involves supporting data analytics and business intelligence initiatives.

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Cities in Kansas with the most Snowflake job openings:

Snowflake jobs near you
Infographic showing various Snowflake job openings in Kansas as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, 1% Temporary, and 4% Contract. Highlights an 72% Physical, 8% Hybrid, and 20% Remote job distribution.

Data Engineer: Azure, Databricks & Snowflake | Onsite/Hybrid

Overland Park, KS • On-site

Tech Mirrors
See more jobs at Tech Mirrorsexternal

$108K - $130K/yr

Other

Posted 8 days ago

Job description

Role

Data Engineer (Azure | Databricks | Snowflake)

Location: Overland Park, KS (Onsite/Hybrid)

Key Responsibilities
  • Build and enhance ingestion pipelines for large batch and event‑driven paths, integrating data from third‑party enrichment vendors, Digital platforms via Conversion API, Rewards/Promotions systems, and other sources.
  • Ensure data quality, reliability & operations by implementing validation, idempotency, replay/backfill strategies and deduplication to prevent quality drift.
  • Own monitoring, alerting, dashboarding and operational readiness, including wrappers around core pipelines.
  • Troubleshoot failures with root‑cause analysis, interpreting Spark logs, diagnosing performance issues (shuffle, skew, partitioning) and improving stability and SLA adherence.
  • Apply privacy, compliance and governance requirements across pipelines and datasets, supporting standards such as Unity Catalog, lineage, access controls, and PII handling.
  • Design pipelines with cost awareness from day one: cluster sizing, workload tuning, efficient compute/storage usage and balancing cost vs quality vs SLA.
  • Work collaboratively in a small, fast‑moving team, self‑driven and ownership‑oriented, raising and managing data quality escalations when issues are detected.
Required Skills
  • Strong coding in PySpark and SQL with hands‑on experience.
  • Databricks: notebooks, jobs, performance tuning fundamentals, medallion patterns; Spark fundamentals (partitioning, skew/shuffle optimization, log analysis).
  • Snowflake: data modeling and usage for analytics and warehousing workloads.
  • Azure ecosystem: Azure Data Factory orchestration and Azure‑native integrations.
  • Data engineering reliability patterns: validation, idempotency, replay/backfills, deduplication, auditability.
  • Data governance: Unity Catalog (preferred), lineage, access control patterns, PII handling.
  • Ownership mindset: ability to execute independently without constant approvals or check‑ins.
Nice‑to‑Have Skills
  • Event‑driven/streaming ingestion exposure, including Delta Live Tables (DLT).
  • Experience building config‑driven export frameworks for downstream consumers/vendors.
  • Interest in identity resolution concepts.
  • Operational telemetry: dashboards, alerts, SLA monitoring.
Success Criteria

Ships reliable, well‑governed datasets with strong data quality practices; scales pipelines for very large volumes; prevents silent failures where quality degrades; balances delivery speed with compliance, governance, and cost controls.

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