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New Grad Data Engineer Jobs in Margate, FL (NOW HIRING)

As a new add-to-staff position, this individual will have significant ownership in evaluating ... Evaluate workflows, systems, and data across departments to identify opportunities for AI, machine ...

Posted today

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ... Create and maintain modeling best practices and new techniques in coordination with internal and ...

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ... Create and maintain modeling best practices and new techniques in coordination with internal and ...

The Data Center Infrastructure Architect is responsible for the roadmap and design of all Layer 1 ... designing, and engineering new IT projects for shoreside and shipboard. Continues to update ...

Collaborate with software engineers to bring the models to production environments. * Leverage AI ... Department Data Science Role Data Scientist Locations Fort Lauderdale, New York, NY, San Francisco ...

Showing results 41-60

New Grad Data Engineer information

See Margate, FL salary details

$40.2K

$117.3K

$160.5K

How much do new grad data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for new grad data engineer in Margate, FL is $117,290.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,500.00 and $124,300.00 per year, depending on experience, location, and employer.

What is a new grad data engineer?

A New Grad Data Engineer is an entry-level role for recent graduates who focus on designing, building, and maintaining data pipelines and infrastructure. They work with databases, ETL (Extract, Transform, Load) processes, and big data technologies to ensure efficient data flow and storage. Typically, they collaborate with data scientists, analysts, and software engineers to support data-driven decision-making. This role requires knowledge of SQL, Python, and cloud platforms, along with problem-solving and analytical skills. It is an excellent opportunity to gain hands-on experience in data engineering while learning industry best practices.

What does a new grad data engineer do?

As a New Grad Data Engineer, your day often involves writing and optimizing code for data pipelines, cleaning and transforming data, and troubleshooting any issues that arise. You’ll work closely with senior data engineers, data scientists, and sometimes business stakeholders to understand data requirements and deliver reliable solutions. Many entry-level roles emphasize learning and professional growth, so you can expect regular mentorship, code reviews, and opportunities to work on small components of larger projects. Over time, you’ll take on more complex responsibilities and contribute to the overall data infrastructure of your organization.

What are the key skills and qualifications needed to thrive as a new grad data engineer?

To thrive as a New Grad Data Engineer, you need a strong grasp of programming languages like Python or SQL, a background in computer science or a related field, and an understanding of data modeling and database concepts. Familiarity with data engineering tools such as ETL pipelines, cloud platforms like AWS or Azure, and certifications in these areas can be beneficial. Strong problem-solving skills, effective communication, and a willingness to learn are valuable soft skills for this position. These abilities ensure you can effectively handle complex data tasks, collaborate with technical teams, and adapt to evolving technologies in a fast-paced environment.

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. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Can I get a new grad data engineer job with no experience?

Securing a new grad data engineer position without experience is possible if you have relevant skills in programming, databases, and data processing tools like SQL, Python, or Spark. Entry-level roles often focus on potential and foundational knowledge, and internships or certifications can strengthen your application.

What cities near Margate, FL are hiring for New Grad Data Engineer jobs?

Cities near Margate, FL with the most New Grad Data Engineer job openings:

Infographic showing various New Grad Data Engineer job openings in Margate, 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 $117,290 per year, or $56.4 per hour.

AI Solutions Engineer

Socket.dev

Fort Lauderdale, FL • On-site

$120 - $165/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 19 hours ago

Posted today


Job description

Description

POSITION: AI Solutions Engineer

Location & Hours: Onsite | M-F 8:30-5:00pm

FLSA Classification: Exempt

Who We Are

At Sound Income Group, our mission is to help independent financial professionals and their clients thrive, especially those approaching or in retirement. We provide a full suite of resources across financial education, investment strategies, marketing, and practice management to support long-term success.

Position Summary

The AI Solutions Engineer will lead the development and implementation of artificial intelligence, machine learning, and automation solutions across Sound Income Group. As a new add-to-staff position, this individual will have significant ownership in evaluating current processes, identifying opportunities to improve efficiency and cost effectiveness, and building solutions that deliver measurable business results.

This role requires a hands-on, highly autonomous engineer with broad expertise across machine learning, generative AI, data engineering, and business-process automation. The AI Solutions Engineer will partner with leaders across Marketing, Business Development, Recruiting, Sales, Coaching, Advisor Support, and Operations to understand departmental needs and determine which processes can be enhanced through AI and which require continued human oversight.

Key Responsibilities
  • Evaluate workflows, systems, and data across departments to identify opportunities for AI, machine learning, and automation.
  • Develop and maintain a prioritized AI roadmap based on business impact, feasibility, efficiency, cost-effectiveness, and risk.
  • Design, build, test, deploy, and maintain production-ready AI and machine-learning solutions.
  • Develop department-specific AI assistants, agents, and automation tools that improve productivity and support business needs.
  • Build solutions supporting lead generation, lead qualification, lead routing, recruiting, marketing, business development, and back-office operations.
  • Create and maintain reliable data pipelines and integrations across internal systems, databases, APIs, and third-party platforms.
  • Partner with department leaders and subject-matter experts to understand business challenges and translate them into practical technical solutions.
  • Determine whether each business need is best addressed through generative AI, machine learning, rules-based automation, third-party technology, or a human-led process.
  • Develop prototypes, gather user feedback, and convert validated concepts into secure, scalable, and maintainable solutions.
  • Establish benchmarks and reporting to measure solution accuracy, adoption, efficiency, cost savings, lead conversion, and overall business impact.
  • Implement appropriate security, privacy, permissions, human-review controls, and governance standards for AI solutions.
  • Evaluate AI platforms, vendors, models, and emerging technologies and make recommendations regarding scalability, security, business fit, and cost.
  • Document technical requirements, architecture, data flows, procedures, and ongoing maintenance needs.
  • Educate employees and leaders on AI capabilities, limitations, responsible use, and adoption best practices.
  • Operate with a high degree of independence and take ownership of projects from initial discovery through implementation and ongoing optimization.

Requirements

Must-Have Qualifications

Background and Education:

  • Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related field; equivalent experience may be considered.
  • Minimum of four years of experience across AI engineering, machine learning, and data engineering.
  • Proven experience owning AI or machine-learning solutions from discovery and development through production deployment and optimization.
  • Strong proficiency in Python, SQL, data pipelines, APIs, and system integrations.
  • Ability to translate complex business needs into practical solutions and operate independently with minimal instruction.

Preferred Experience:

  • Experience with Databricks, Snowflake, cloud infrastructure, and MLOps or LLMOps.
  • Experience building generative AI applications, AI agents, workflow automations, RAG solutions, or internal assistants.
  • Knowledge of AI security, privacy, governance, permissions, and human-review controls.
  • Experience supporting enterprise-wide AI initiatives, evaluating vendors, and making build-versus-buy recommendations.
  • Experience in financial services, wealth management, fintech, or another regulated industry is preferred.
Physical & Work Environment Requirements
  • Ability to work for extended periods at a desk using a computer.
  • Ability to lift up to 10 pounds if/when necessary.
  • Routine use of telephone and email.
  • Office-based role with potential travel to conferences, events, and satellite offices as needed.
Benefits

We’re proud to offer a comprehensive benefits package that supports your professional and personal well-being, including:

  • 100% employer-covered medical benefits and HRA account
  • Dental & vision plans
  • PTO + 10 NYSE company holidays per year
  • 401K with company match program
  • Free onsite parking
  • Company-provided laptop and required technology
  • Access to an on-site gym (free of charge)
  • Weekly carwash (at an additional cost)

Sound Income Group is an E-Verify employer.

Sound Income Group is an equal opportunity employer that complies with all applicable federal, state, and local laws, rules and regulations. It is our policy to employ and promote qualified candidates without discrimination on the basis of race, color, sex, age, origin, sexual orientation, marital status, disability or any other characteristic protected by law. Our hiring decisions are based solely on merit, qualifications and business needs.

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