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Executive Startup Data Engineer Jobs in Florida (NOW HIRING)

Data Engineer

Tampa, FL ยท On-site

$112K - $135K/yr

Develop reusable data models that support executive dashboards and business intelligence reporting ... Collaborate with cross-functional engineering teams to continuously improve enterprise data ...

Data Engineer

Tampa, FL ยท On-site

$112K - $135K/yr

Develop reusable data models that support executive dashboards and business intelligence reporting ... Collaborate with cross-functional engineering teams to continuously improve enterprise data ...

Data Engineer

Orlando, FL ยท On-site

$106K - $128K/yr

The Data Engineer will play a critical role within the Information Technology organization ... executives, managers, and subject matter experts). Must be proficient in Microsoft Office (Excel ...

Azure Cloud Data Engineer

Weston, FL ยท Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud ... ARC Group is a Forbes-ranked a top 20 recruiting and executive search firm working with clients ...

Forward Deployed Data Engineer

Sarasota, FL ยท On-site

$120 - $160/hr

We're a fast growing startup backed by industry experts and top tier investors led by Crosspoint ... About the Role As a Forward Deployed Data Engineer -- SIEM/SOAR, you build the content that powers ...

New

SQL Data Engineer

Jacksonville, FL ยท On-site

$106K - $127K/yr

SQL DATA ENGINEER HYBRID (JACKSONVILLE, FL) ARC Group has an immediate opportunity for a Senior SQL ... ARC Group is a Forbes-ranked a top 20 recruiting and executive search firm working with clients ...

Data Engineer | TS/SCI Required

Tampa, FL ยท On-site

$108K - $129K/yr

... to executive-level clients Qualifications: Our Deloitte AI & Engineering team to transform ... Work you'll do As a Project - Data Management Engineer III on the AI & Engineering team, you will ...

Senior Data Engineer

Boca Raton, FL ยท On-site

$100K - $136K/yr

Job Summary GeniusRx is looking for an experienced data engineer to help bring the next evolution ... Experience working with executive stakeholders to not only develop reporting that meets their needs ...

Data Engineer | TS/SCI Required

Tampa, FL ยท On-site

$108K - $129K/yr

Work you'll do As a Project - Data Management Engineer III on the AI & Engineering team, you will ... executive-level clients Deloitte is committed to providing reasonable accommodations for people ...

AAI Data Engineer - Enterprise Platform

Jacksonville, FL ยท On-site

$106K - $127K/yr

FIS Management Services, LLC seeks AAI Data Engineer - Enterprise Platform in Jacksonville, FL to ... Develop executive-level reports to support strategic decisions and cost optimization. Integrate ...

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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 Florida?

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

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

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

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

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

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

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

$108K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

Graham Technologies is seeking a highly skilled Data Engineer to design, develop, and maintain enterprise data engineering solutions that support advanced analytics and modernize large-scale data environments. The successful candidate will build secure, scalable cloud-based data pipelines, integrate data from multiple sources, and enable predictive analytics, artificial intelligence, and machine learning capabilities. This role also supports business intelligence initiatives by preparing data for dashboards, developing technical documentation, and facilitating knowledge transfer.

Location

Tampa, Florida

Responsibilities

  • Design, develop, and maintain scalable enterprise data pipelines supporting high-volume logistics data.
  • Develop ETL/ELT processes that integrate data from multiple enterprise logistics systems into centralized cloud-based data repositories.
  • Build and optimize data lake architectures supporting structured and unstructured data.
  • Develop batch and streaming data pipelines utilizing technologies such as Apache Kafka, Apache Airflow, and Apache NiFi.
  • Design and implement cloud-native storage and compute solutions within AWS or Azure environments.
  • Develop secure data architectures that comply with Department of Defense cybersecurity requirements.
  • Implement data governance, metadata management, data lineage, audit trails, and data quality controls.
  • Develop and maintain SQL and NoSQL databases supporting enterprise analytics.
  • Design and implement APIs supporting enterprise data integration and interoperability.
  • Collaborate with Data Scientists to prepare, transform, and optimize datasets for predictive analytics and machine learning models.
  • Develop reusable data models that support executive dashboards and business intelligence reporting using Power BI, Tableau, Qlik, or similar visualization platforms.
  • Monitor, troubleshoot, and optimize enterprise data pipelines and cloud infrastructure.
  • Create technical documentation including architecture diagrams, data dictionaries, interface specifications, API documentation, and standard operating procedures.
  • Participate in knowledge transfer activities and technical training sessions for Government personnel.
  • Support Agile software development activities including sprint planning, backlog refinement, demonstrations, and peer reviews.
  • Collaborate with cross-functional engineering teams to continuously improve enterprise data capabilities.
Required Qualifications
  • Active Top Secret with the ability to attain a SCI
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical discipline.
  • Minimum five (5) years of professional Data Engineering experience.
  • Experience designing and implementing enterprise ETL/ELT data pipelines.
  • Strong programming experience using Python.
  • Advanced SQL development experience.
  • Experience with NoSQL databases.
  • Experience with Apache Kafka or similar streaming technologies.
  • Experience with Apache Spark.
  • Experience with Apache Airflow, Apache NiFi, or comparable orchestration tools.
  • Experience designing and supporting cloud-based data solutions using AWS or Azure.
  • Experience implementing enterprise data governance, metadata management, and data quality processes.
  • Experience integrating data from multiple enterprise applications using APIs.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience supporting Department of Defense or Federal Government programs.
  • Experience supporting logistics, supply chain, sustainment, or operational data environments.
  • Experience with AWS S3, Azure Blob Storage, AWS KMS, or Azure Key Vault.
  • Experience developing enterprise data lakes or modern data warehouse solutions.
  • Experience supporting business intelligence and dashboard development.
  • Experience with containerized applications and DevSecOps pipelines.
  • AWS or Microsoft Azure Cloud Certification.
  • Security+ or other DoD 8570/8140 certification.

Compensation

At Graham Technologies, we believe in treating everyone with fairness and respect. Our compensation package is designed to ensure fair pay for work, reflecting our commitment to integrity.

Many IT companies offer similar services, but what truly sets us apart is our people! We care deeply about our employees and consistently show our appreciation-not just for the final outcomes, but also for the effort and dedication shown every step of the way. Additionally, our generous benefits package supports our team members in living fulfilling and prosperous lives.

Here are just a few highlights of what we offer:

  • Four Weeks of Accrued PTO in the First Year
  • Eleven Paid Federal Holidays
  • Comprehensive Health, Dental, Vision, and Life Insurance
  • 401(k) Plan with Annual Employer Contributions
  • Flexible Schedules
  • Reimbursements for Continued Education and Training

Why Graham Technologies?

Our core values define who we are:

  • Value our Customers
  • Care about our Employees
  • Passionate about Innovation
  • Believe in a Strong Work Ethic
  • Rely on Teamwork
  • Integrity Matters

Founded in 2007, GTech is a consulting services firm passionate about delivering tailored solutions that meet our clients' needs and maximize the value of their investments. We achieve this by providing top-notch professionals across the IT industry. Our team embodies integrity, commitment, and reliability, which are at the heart of everything we do.

We are also dedicated to fostering a culture of support for our employees-the lifeblood of our business. At Graham Technologies, we've built a family-oriented environment where team members are encouraged to maintain a healthy work-life balance, pursue their passions, and grow professionally through flexible schedules, continued education, and a strong sense of community.