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Founding Data Engineer Jobs in Kansas (NOW HIRING)

StackAdapt

This is a founding individual contributor role focused on improving visibility, understanding, and ... You will build the systems, tooling, and data models required to make engineering spend ...

weavix Inc.

Software Engineer

Lenexa, KS

Since its founding, weavix has shaped the future of work by introducing innovative methods to ... data-driven insights into facilities and teams to maximize productivity and achieve breakthrough ...

New

weavix Inc.

Software Engineer

Lenexa, KS · On-site

Since its founding, weavix has shaped the future of work by introducing innovative methods to ... data-driven insights into facilities and teams to maximize productivity and achieve breakthrough ...

T-Mobile

Sr Engineer, Tax Technology

Overland Park, KS · On-site

$121K - $159.60K/yr

Understands system protocols, how systems operate and data flows. * Expected to independently ... Act as a founding engineer for Tax Technology, setting coding standards and engineering practices ...

Artera

Senior Solutions Engineer

Kansas City, KS · On-site

$53.25 - $68.75/hr

Since founding in 2015, Artera has consistently been recognized for its innovative technology ... You can comfortably read API documentation, map complex data fields, evaluate payloads/webhooks ...

Accu-Crete

Superintendent - KS

Kansas City, KS · On-site

About Accu-Crete Since our founding in 1980, Accu-Crete has been dedicated to providing the best ... We work directly with some of the industry's leading engineering firms to provide a valuable, cost ...

Sunflower Bank NA

Model Risk Analyst

Overland Park, KS · Hybrid

Since our founding in 1892, we've been committed to serving our communities and supporting the team ... Act as a key point of contact with model developers and owners to discuss validation findings and ...

Sunflower Bank NA

Model Risk Analyst

Overland Park, KS · On-site

Since our founding in 1892, we've been committed to serving our communities and supporting the team ... Act as a key point of contact with model developers and owners to discuss validation findings and ...

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Founding Data Engineer information

What are the key skills and qualifications needed to thrive as a Founding Data Engineer, and why are they important?

To thrive as a Founding Data Engineer, you need strong expertise in data architecture, database design, and software engineering, often backed by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS or GCP), ETL frameworks, programming languages (such as Python or Scala), and data warehousing tools is typically required. Exceptional problem-solving, adaptability, and collaboration skills set standout candidates apart in this role. These abilities are crucial for building scalable data systems and shaping the technical foundation of an early-stage company.

What are the unique challenges and opportunities of being a Founding Data Engineer at an early-stage startup?

As a Founding Data Engineer, you'll face the challenge of building data infrastructure from scratch, often with limited resources and evolving requirements. You’ll work closely with founders and cross-functional teams to define data strategies, implement pipelines, and ensure data quality. This role offers significant influence over technical decisions and architecture, and you'll likely wear multiple hats, contributing to both backend engineering and data analytics. The fast-paced environment fosters rapid skill development and provides substantial opportunities for career growth as the company scales.

What are Founding Data Engineers?

Founding Data Engineers are among the first technical hires at a startup, responsible for designing, building, and scaling the company's data infrastructure from the ground up. They work closely with founders and early team members to define data architecture, set up data pipelines, and ensure data quality and accessibility for product development and business insights. This role often requires a blend of software engineering, data modeling, and strategic decision-making skills, as well as the flexibility to adapt to rapidly changing priorities in a startup environment.

What is the difference between Founding Data Engineer vs Data Engineer?

AspectFounding Data EngineerData Engineer
Required CredentialsBachelor's or higher in CS, experience in startup environmentsBachelor's or higher in CS, relevant data tools experience
Work EnvironmentEarly-stage startups, high flexibility, broad responsibilitiesEstablished companies, specialized roles, structured teams
Employer & Industry UsageFounding teams, startups, tech companiesTech firms, finance, healthcare, large organizations
Search & Comparison IntentUnderstanding startup data roles, early-stage responsibilitiesStandard data engineering roles, career progression

The main difference between a Founding Data Engineer and a Data Engineer lies in their work environment and responsibilities. Founding Data Engineers typically work in startups, handling broad tasks and building data infrastructure from scratch, while Data Engineers in established companies focus on specific data pipelines within structured teams. Both roles require similar technical skills and educational backgrounds, but their scope and context differ significantly.

What are popular job titles related to Founding Data Engineer jobs in Kansas? For Founding Data Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Founding Data Engineer jobs in Kansas look for? The top searched job categories for Founding Data Engineer jobs in Kansas are:
What cities in Kansas are hiring for Founding Data Engineer jobs? Cities in Kansas with the most Founding Data Engineer job openings:
Founding Data Engineer jobs near you

Staff Engineer, FinOps & Cost Platform

StackAdapt

Other

Posted 7 days ago

Job description

 

We are looking for a Staff Engineer, FinOps & Cost Platform to build and lead our engineering cost-management capability. This is a founding individual contributor role focused on improving visibility, understanding, and optimization across all engineering-controlled spend, including cloud infrastructure and engineering-owned technical vendors.

You will build the systems, tooling, and data models required to make engineering spend attributable, explainable, and actionable. In the near term, you will drive measurable savings. Over time, you will help build showback, chargeback, and unit-cost capabilities that allow us to understand the cost of services, platforms, and customer footprint more deeply.

What You'll Do
  • build the internal cost platform and reporting model for engineering spend
  • own analysis and optimization of AWS and engineering-owned vendor spend
  • improve cost attribution, tagging, and data quality
  • define and implement showback, chargeback, and unit-cost models
  • partner with engineering teams to drive optimization opportunities
  • partner with finance and procurement on forecasting, renewals, and vendor rationalization
  • design telemetry-backed cost models that connect infrastructure spend to real usage
  • establish governance, review cadences, and cost-aware engineering practices
What We're Looking For
  • strong infrastructure or platform engineering background
  • deep experience with AWS or comparable cloud environments
  • proven experience with cost optimization, capacity economics, or FinOps-like work
  • strong analytical and data-modeling ability
  • hands-on experience building tooling, dashboards, or internal platforms
  • ability to influence cross-functional stakeholders without direct authority
  • strong communication across technical and business audiences
Nice to Have
  • experience with CloudZero, Apptio, CloudHealth, or similar platforms
  • showback or chargeback experience
  • telemetry or unit-cost modeling experience
  • engineering-vendor utilization and cost-governance experience
  • prior experience building a new internal capability from scratch

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