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Executive Startup Data Engineer Jobs in Ohio (NOW HIRING)

$82 - $105.42/hr

Konzeptionierung und Aufbau von Big Data / Analytics / AI Plattformen, inklusive DevOps workflows ... O Alex sowie eine offene Feedbackkultur, jährliche Teamworkshops auf unserem Data.Castle im ...

Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

Overview: The Data Engineer consultant role is an incredibly exciting position in the fastest ... Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data ...

Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

Overview: The Data Engineer consultant role is an incredibly exciting position in the fastest ... Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data ...

Senior Data Engineer

Columbus, OH · On-site

$102K - $139K/yr

As a Data Engineer, you will help build, maintain, and improve the data infrastructure that powers reporting, analytics, operations, marketing, finance, product, and executive decision-making across ...

Senior Data Engineer

Cleveland, OH · Hybrid

$102K - $139K/yr

SENIOR DATA ENGINEER We are looking for a highly skilled and strategic Senior Data Engineer to lead ... executive dashboards. * Design and implement data pipelines specifically for AI workloads ...

Senior Data Engineer

Columbus, OH · On-site

$102K - $139K/yr

As a Data Engineer, you will help build,maintain, and improve the data infrastructure that powers reporting, analytics, operations, marketing, finance, product, and executive decision-making across ...

Senior Data Engineer

Cleveland, OH · Hybrid

$102K - $139K/yr

SENIOR DATA ENGINEER We are looking for a highly skilled and strategic Senior Data Engineer to lead ... executive dashboards. * Design and implement data pipelines specifically for AI workloads ...

Senior Data Engineer

Cleveland, OH · On-site

$102K - $139K/yr

SENIOR DATA ENGINEER We are looking for a highly skilled and strategic Senior Data Engineer to lead ... executive dashboards. * Design and implement data pipelines specifically for AI workloads ...

Senior Data Engineer

Cincinnati, OH · On-site

$103K - $140K/yr

They are seeking a Senior Data Engineer to design cutting edge analytic solutions, optimize data ... the Executive, Product, Data, and Design teams to assist with data-related technical issues and ...

Senior Data Engineer

Cincinnati, OH · On-site

$101K - $138K/yr

Overview: The Senior Data Engineer consultant role is an incredibly exciting position in the ... Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data ...

Senior Data Engineer

Cincinnati, OH · On-site

$101K - $138K/yr

Overview: The Senior Data Engineer consultant role is an incredibly exciting position in the ... Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data ...

Job Title Senior Cybersecurity Data Engineer About your role: You will interface with security Big ... Work with stakeholders, including the Executive, Product, Data and Design teams to assist with data ...

Job Title Senior Cybersecurity Data Engineer About your role: You will interface with security Big ... Work with stakeholders, including the Executive, Product, Data and Design teams to assist with data ...

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Showing results 1-20

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 Ohio?

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

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

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

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

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

Infographic showing various Executive Startup Data Engineer job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

$82 - $105.42/hr

Other

Posted 10 days ago


Job description

Festanstellung,Vollzeit·Hybrid,München,Frankfurt,Berlin,Leipzig,Essen,Nürnberg

Wir suchen Dich ab sofort an einem unserer deutschen Standorte in München, Nürnberg, Essen, Leipzig, Berlin oder Frankfurt am Main !

Deine Aufgaben

Data und AI sind Dein zu Hause? Des Weiteren gestaltet sich Deine neue Herausforderung wie folgt:

  • Konzeptionierung und Aufbau von Big Data / Analytics / AI Plattformen, inklusive DevOps workflows, IaC, CI/CD, IAM und Monitoring & Alerting
  • Konzeption, Entwicklung und Skalierung von Daten-Pipelines auf verschiedenen Cloud-Architekturen unter Einbezug von Datenqualitätsmaßnahmen sowie der Entwurf und Umsetzung von Datenmodellen
  • Operationalisierung von statistischen und KI-Modellen sowie Ergebnissen der Data Scientists, um diese zur produktiven Nutzung zur Verfügung zu stellen bzw. zu automatisieren
  • Auswahl und Beratung von Kunden zu Vor- und Nachteilen verschiedener Technologie-Stacks, passend zu den Use Cases und dem Umfeld im Unternehmen
  • Übernahme einer führenden Rolle in der Kundenkommunikation und Leitung von Engineering-Projekten mit fachlicher Verantwortung für ein Entwicklerteam und die Projektergebnisse
  • Aufbau von Data Engineering Expertise im Unternehmen z. B. durch das Halten von internen Schulungen, Leiten von internen Projekten und aktive Teilnahme in der Engineering Community
Dein Profil

Data ist auch in Deiner DNA? Das solltest Du mitbringen:

  • Erfolgreich abgeschlossenes Studium der Informatik, Computer Science, Data Engineering oder einem anderen mathematisch/naturwissenschaftlichem Feld oder eine vergleichbare Qualifikation
  • Starke Kommunikationsfähigkeit (fließend) auf Deutsch und Englisch sowie Reisebereitschaft im Rahmen einer Consulting Tätigkeit
  • Mindestens 6 Jahre Vollzeit Berufserfahrung als Data Engineer in der Konzeption & Implementierung von Datenplattformen und Data Management Prozessen oder in ähnlichem Berufsfeld
  • Mindestens 5 Jahre praktische Anwendung von gängigen Programmsprachen wie z. B. Python, Scala, SQL und Entwickler Tools wie bspw. GIT
  • Mindestens 4 Jahre Umsetzungserfahrung mit BigData Technologien, insbesondere Spark / Kafka, verteilte Speichersysteme, OpenTable Formate und Cluster-Computing
  • Mindestens 4 Jahre Erfahrung im Umgang mit verschiedensten Cloud Komponenten (Object Storage, Datenbanken, Message Services, ETL / ELT Engines, Security, Scheduling, Operations, Monitoring, etc.) im Bereich AWS / Azure / GCP
  • Erfahrung mit mindestens einer der folgenden Technologien: Databricks / Snowflake / AWS Sagemaker / Azure Synapse / ähnliche Data-Analytics-Plattformen
  • Erfahrung mit IaC Tools wie zum Beispiel Terraform, AWS CDK o.ä. sowie mit gängigen CI/CD Prozessen und Tools
  • Nice to have: Erfahrung mit UNIX Systemen und Netzwerkkonfiguration

Data bewegt uns! Was Dich auf Deiner persönlichen Journey erwartet, findest Du hier:

Work-Life-Balance Vertrauensarbeitszeit mit flexibler Arbeitszeitgestaltung - ob voll remote oder in einem unserer modern eingerichteten Innenstadtbüros (inkl. Dachterrasse), workation - nutze die Möglichkeit aus dem EU-Ausland zu arbeiten

Kultur & Zusammenarbeit Einzigartige Teamatmosphäre, flache Hierarchien zu unserem CEO Alex sowie eine offene Feedbackkultur, jährliche Teamworkshops auf unserem Data.Castle im Zillertal, gelebtes Data.Musketeer Prinzip – „einer für alle, alle für einen!“, unser [at] Buddy Programm zur besseren Vernetzung, regelmäßig stattfindende Fach- und Freizeitevents, hundefreundliche Büros

Fachliche & persönliche Entwicklung Intensiver Onboarding- & Einarbeitungsprozess, persönlicher Entwicklungsplan und individuelle Weiterbildungsmöglichkeiten, vielfältiges Workshop- und Schulungsangebot innerhalb der Data.Academy durch unsere erfahrenen Data.Musketeers sowie externen Anbieter, Führungs-, Projektleiter- und Expertenlaufbahn

Vergütung & Zusatzleistungen Kita-Zuschuss, Betriebliche Altersvorsorge mit 20% Bezuschussung, zahlreiche Corporate Benefits & Mitarbeiterangebote (z. B. für Events und Reisen), Startguthaben in unserem internen Merchandise-Shop, kompetitives Gehalt mit variablen Anteilen

Gesundheit & Wohlbefinden Mental Health & Wellbeing Support sowie Coaching und Meditation durch nilo.health, Fitness- und Yogaräume im Münchner Office, regelmäßige Mitarbeiterumfragen, EGYM Well Pass Mitgliedschaft mit Plus1 Option, Fahrradleasing über Jobrad nach der Probezeit, interne Gruppen für sportliche Aktivitäten, kostenlose Heiß- und Erfrischungsgetränke sowie frisches Obst im Office, Dachterrasse (Grill)

Mobilität Zuschuss zum Deutschlandticket, zentrale Lage der Offices, gute Anbindung an den Öffentlichen Nahverkehr, Möglichkeit von anderen Standorten zu arbeiten

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