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Data Engineering Jobs in Homestead, FL (NOW HIRING)

The contractor shall establish a structured framework to distinguish data science and data engineering tasks, ensuring the effective allocation of resources and seamless collaboration between teams.

The contractor shall establish a structured framework to distinguish data science and data engineering tasks, ensuring the effective allocation of resources and seamless collaboration between teams.

The contractor shall establish a structured framework to distinguish data science and data engineering tasks, ensuring the effective allocation of resources and seamless collaboration between teams.

Hands on data engineering experience with proven track record of building production data pipelines * Expert level proficiency in Python for data processing, ETL development, and automation (PySpark)

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Data Engineer Client: Filthy Food, Location: Miami, Florida, Onsite Role Our client has an immediate need for a Data Engineer who is responsibe for supporting the companies BI structure using Data ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Data Scientist

Miami, FL

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Data Scientist

Miami, FL

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Data Scientist

Miami, FL

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Data Scientist

Miami, FL

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Showing results 41-60

Data Engineering information

See Homestead, FL salary details

$42.3K

$151.6K

$223.7K

How much do data engineering jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data engineering in Homestead, FL is $151,599.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,600.00 and $156,200.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

What cities near Homestead, FL are hiring for Data Engineering jobs?

Cities near Homestead, FL with the most Data Engineering job openings:

Infographic showing various Data Engineering job openings in Homestead, FL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $151,599 per year, or $72.9 per hour.

Full-time

Re-posted 7 days ago


Job description

Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Job Description

SOSi is seeking a Data Science Lead to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.

Essential Job Duties:

  • The contractor shall oversee the development, deployment, and evaluation of predictive and prescriptive analytics to ensure alignment with mission objectives and operational needs.
  • The contractor shall establish a structured framework to distinguish data science and data engineering tasks, ensuring the effective allocation of resources and seamless collaboration between teams.
  • The contractor shall submit the Predictive Analytics Strategy & Implementation Report, detailing model development progress, algorithm validation, and mission integration.
  • The contractor shall coordinate to access compute and storage resources required to support large-scale model training and analytics workloads, including GPU-accelerated environments, high-performance object storage, and parallel data processing capabilities.
  • The contractor shall fund usage-based compute and storage costs through inter-task chargeback arrangements, as approved by the Government PM.
Qualifications
  • Active TS/SCI Clearance.
  • Master's degree in Data Science, Artificial Intelligence, Computer Science, or a related field, or;
    • Eleven (11) years of equivalent experience in leading AI/ML-driven analytics programs.
  • Personnel must have demonstrated experience in developing, deploying, and managing enterprise-level predictive analytics solutions, ensuring governance compliance, and implementing AI/ML models at scale.
  • Experience in mission-focused analytics, data-driven decision support, and integration of statistical and machine learning techniques is required.
  • Personnel must have experience overseeing sprint-based Agile development cycles and working within cloud-based data science environments such as AWS, Azure, or Databricks.
  • Possess the knowledge and capability to lead the development of predictive and prescriptive analytics, ensuring alignment with mission objectives and the integration of AI/ML-driven insights.
  • Proficient in advanced machine learning techniques, statistical modeling, and data science methodologies, with expertise in feature engineering, model validation, and data provenance tracking.
  • Experience implementing Agile methodologies, managing analytic sprints, and overseeing collaboration between data science and data engineering teams.
  • Strong leadership, strategic planning, and stakeholder engagement skills are required to drive mission-focused analytic innovation.

Preferred Qualifications:

  • Desirable but not required certifications include AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Engineer Associate, or Certified Analytics Professional (CAP).
Additional Information

Work Environment

  • Normal office conditions

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.