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Executive Startup Data Engineer Jobs in Wisconsin

Pwc

Data Strategy & Governance -Director

Milwaukee, WI · On-site

$155K - $410K/yr

... executive-level client relations while fostering an environment where innovation thrives. This role ... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ...

New

Flux Resources

WI · On-site

$132.46 - $165.57/hr

Commissioning Engineer, Data Center Controls This is a full‑time, on‑site role located in Austin, TX. Summary The Commissioning Engineer, Data Center Controls will lead commissioning, startup ...

New

Quad

Director, Analytics, Data Engineering

Sussex, WI · On-site

The Director, Data Engineering - Architect is responsible for defining and governing the enterprise ... Executive Communication Provide architectural roadmaps, risk assessments, and investment ...

Quad

Director, Analytics, Data Engineering

Sussex, WI · On-site

The Director, Data Engineering - Architect is responsible for defining and governing the enterprise ... Executive Communication Provide architectural roadmaps, risk assessments, and investment ...

Soda Data

WI · On-site

$98 - $139/hr

Multi‑tenant SaaS at scale; high‑growth startup experience. * Python: our data engineering stack runs on it. * Experience building agentic workflows into the product: LLM‑powered features ...

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Soda Data

WI · On-site

$98 - $139/hr

Multi-tenant SaaS at scale; high-growth startup experience. * Python: our data engineering stack runs on it. * Regulated-environment experience (ISO27001, SOC2). * Experience building agentic ...

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Abbott

Director, Data Engineering

Madison, WI · On-site

As the Director, Data Engineering , you'll serve as Cancer Diagnostics' senior data executive ... Work with executives across all functions to establish the vision for managing data as a business ...

Posted today

Adomate

WI · On-site

$90 - $130/hr

Collaborate with the data engineering team on model deployment * Research and implement ... Previous startup experience * PhD in AI/ML or related field What We Offer * Competitive salary and ...

New

Soda Data

WI · On-site

$98 - $139/hr

Multi-tenant SaaS at scale; high-growth startup experience. * An eye for design: you can spot a misaligned pixel. * Python: our data engineering stack runs on it. * Experience building agentic ...

Ontech Talent

Data & Integration Manager

Brookfield, WI · On-site

$150K - $175K/yr

... executive stakeholders to deliver trusted data, reliable integrations, scalable automations, and ... Bachelor's degree in Information Technology, Computer Science, Data Engineering, Information ...

Advanced Asset Management

WI · On-site

$96.10 - $144.15/hr

USD 4-6 per hour About Us Advanced Asset Management (AAM Living) delivers smart, data-driven ... Prior experience in property management, real estate, or a fast-growing startup environment is ...

Neura Market

WI · On-site

$240 - $280/hr

Partner with Account Executives to drive pipeline, accelerate deals, and close business * Serve as ... Demonstrated ability to design end-to-end data platforms (ingestion, transformation, orchestration ...

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All JobsStartup Data Engineer JobsExecutive Startup Data Engineer JobsExecutive Startup Data Engineer Jobs in Wisconsin

Executive Startup Data Engineer information

What is an executive startup data engineer?

Executive Startup Data Engineers are senior-level professionals who design, build, and oversee data systems and strategies within startup companies. They bridge the gap between technical data engineering and high-level business objectives, often leading small teams or entire data departments. Their responsibilities include developing data pipelines, ensuring data quality, and delivering insights that drive business growth. In a startup environment, they must be both hands-on and strategic, adapting quickly to evolving technical and business needs.

What are the key skills and qualifications needed to thrive as an executive startup data engineer?

To thrive as an Executive Startup Data Engineer, you need expertise in data architecture, advanced analytics, and programming languages like Python or Scala, along with a degree in computer science or a related field. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (like AWS or Google Cloud), and relevant certifications are commonly expected. Leadership, strategic thinking, and effective communication are crucial soft skills for driving data initiatives and collaborating with cross-functional teams in a fast-paced environment. These skills and qualities are vital for building scalable data solutions that support business growth and innovation in a startup setting.

What are some unique challenges executive startup data engineers face when building data infrastructure in early-stage companies?

Executive Startup Data Engineers often encounter the challenge of building scalable and reliable data pipelines from scratch with limited resources and rapidly evolving business needs. They must balance hands-on technical implementation with strategic planning, frequently adapting solutions as product priorities shift. Collaboration with founders, product teams, and business stakeholders is crucial to ensure that data systems align with overall company goals. Additionally, they may be responsible for mentoring junior engineers and setting data governance practices that will scale as the company grows.

What is the difference between Executive Startup Data Engineer vs Data Engineer?

AspectExecutive Startup Data EngineerData Engineer
CredentialsTypically requires advanced degrees (Master's or PhD) in data science, computer science, or related fields, with leadership experienceBachelor's or Master's in CS, data science, or related fields, with technical skills
Work EnvironmentStrategic role in startup leadership, involved in decision-making and high-level planningTechnical role focused on data pipeline development, maintenance, and optimization
Employer & Industry UsageFound in startup leadership teams, tech companies, and data-driven startupsCommon across tech, finance, healthcare, and other data-centric industries

The Executive Startup Data Engineer combines technical expertise with strategic leadership, often involved in guiding data initiatives at a high level. In contrast, a Data Engineer primarily focuses on building and maintaining data infrastructure. The executive role requires more experience, leadership skills, and a broader understanding of business goals, while the Data Engineer emphasizes technical proficiency and data management skills.

What are the most commonly searched types of Startup Data Engineer jobs in Wisconsin?

The most popular types of Startup Data Engineer jobs in Wisconsin are:

What are popular job titles related to Executive Startup Data Engineer jobs in Wisconsin?

For Executive Startup Data Engineer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Executive Startup Data Engineer jobs in Wisconsin look for?

The top searched job categories for Executive Startup Data Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Executive Startup Data Engineer jobs?

Cities in Wisconsin with the most Executive Startup Data Engineer job openings:

Executive Startup Data Engineer jobs near you
Infographic showing various Executive Startup Data Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Principal Data Engineer

Continuus Technologies LLC

Germantown, WI • On-site

Full-time

Re-posted 13 days ago

Job description

Role OverviewThe Principal Data Engineer is a senior technical authority responsible for defining the organization's data architecture, setting long-term technical strategy, and solving the most complex data engineering challenges. This role influences company-wide data standards, mentors senior engineers, and partners with executive and cross-functional leaders to ensure data platforms scale with the business.Key ResponsibilitiesDefine and evolve the long-term data architecture and technical visionDesign highly scalable, resilient data platforms and pipelinesSet standards for data modeling, reliability, observability, and governanceLead complex, high-risk technical initiatives and migrationsServe as the escalation point for critical data incidents and root cause analysisInfluence tool selection and technology adoption across the data stackMentor Staff and Senior Data Engineers and elevate engineering excellencePartner with leadership to align data strategy with business goalsEnsure data platforms support analytics, ML, and product use cases at scaleQualificationsBachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)10+ years of experience in data engineering or related disciplinesExpert-level SQL and strong proficiency in Python or similar languagesDeep experience with data warehousing, data lakes, and distributed systemsProven track record of designing and operating large-scale data platformsStrong systems thinking and architectural decision-making skillsPreferred ExperienceCloud platforms (AWS, Azure, or GCP)Streaming and real-time systems (Kafka, Spark, Flink, etc.)Advanced data governance, security, and compliance practicesSupporting ML, AI, or product-led data platformsInfluencing technical direction without direct managerial authority