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Data Engineer Ml Jobs in New Port Richey, FL (NOW HIRING)

Accenture Federal Services

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

We are looking for a Data Engineer with strong handson experience designing, developing, and ... Develop and manage structured and unstructured data pipelines supporting analytics, ML, and ...

Fintech Brand

Data Engineer - Databricks

Tampa, FL · On-site

$100 - $130/hr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business ... Build and maintain end‑to‑end ML pipelines for training, deployment, and monitoring of models.

Fintech

Data Engineer - Databricks

Tampa, FL · On-site

$108K - $129K/yr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business ... Build and maintain end-to-end ML pipelines for training, deployment, and monitoring of models.

Fintech

Data Engineer - Databricks

Tampa, FL · Hybrid

$108K - $129K/yr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business ... Build and maintain end-to-end ML pipelines for training, deployment, and monitoring of models.

3B Staffing LLC

Data Engineer

Tampa, FL · On-site

$104K - $125K/yr

Date Engineer Hillsborough County Sherrif Office 6-12 month contract to hire Onsite Tampa, FL USC ... Knowledge of designing data warehouses and data marts that support analytics, ML, and dashboard ...

3B Staffing LLC

Data Engineer

Tampa, FL · On-site

$104K - $125K/yr

Date Engineer Hillsborough County Sherrif Office 6-12 month contract to hire Onsite Tampa, FL USC ... Knowledge of designing data warehouses and data marts that support analytics, ML, and dashboard ...

Accenture Federal Services

Data Engineer

Tampa, FL · On-site

$118K - $162K/yr

Collaborate closely with architecture, ML, and application teams to support scalable data solutions. * Ensure data quality, lineage, governance, and security across all pipelines. * Monitor system ...

Accenture Federal Services

Data Engineer

Tampa, FL

$118K - $162K/yr

Collaborate closely with architecture, ML, and application teams to support scalable data solutions. * Ensure data quality, lineage, governance, and security across all pipelines. * Monitor system ...

Bridgeway Benefit Technologies

Data Engineer (BI)

Tampa, FL · Remote

$108K - $129K/yr

Bridgeway is seeking a Data Engineer (BI) to design, develop, and maintain our data warehouse ... Enable analytics, reporting, and AI/ML use cases through well-structured, business-friendly data ...

Booz Allen Hamilton

Data Engineer, Senior

Tampa, FL · On-site

$99K - $225K/yr

You'll be part of a talented team of AI and ML and data engineers across the company and collaborate with other developers to deliver world class solutions to senior military officials. Your skills ...

Virtusa

Data engineer

Tampa, FL · On-site

$108K - $129K/yr

Architect and implement scalable AI/ML workflows, managing the end-to-end lifecycle of models from ... Build robust data integration pipelines to connect AI models with enterprise data sources ...

Agile Defense

Data Engineer - SOCOM

Tampa, FL · On-site

$108K - $129K/yr

Data Engineer - SOCOM Location: On-Site, Tampa, FL Clearance Level: Top Secret / SCI, Must Have ... Experience developing ML models from training to deployment using industry-standard tools and ...

Agile Defense

Data Engineer - SOCOM

Tampa, FL · On-site

$108K - $129K/yr

Data Engineer - SOCOM Location: On-Site, Tampa, FL Clearance Level: Top Secret / SCI, Must Have ... Experience developing ML models from training to deployment using industry-standard tools and ...

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Showing results 1-20

All JobsData Engineer Ml JobsData Engineer Ml Jobs in New Port Richey, FL

Data Engineer Ml information

See New Port Richey, FL salary details

$41K

$147K

$216.9K

How much do data engineer ml jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data engineer ml in New Port Richey, FL is $146,980.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,900.00 and $151,400.00 per year, depending on experience, location, and employer.

What does a data engineer ML do?

A Data Engineer ML (Machine Learning) is responsible for designing, building, and maintaining the data pipelines and infrastructure necessary for machine learning applications. They clean, process, and organize large datasets to ensure data quality and accessibility for data scientists and ML engineers. In addition, they may work on deploying machine learning models to production environments and optimizing data workflows for efficiency and scalability.

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

To thrive as a Data Engineer ML, you need strong programming skills (especially in Python or Scala), knowledge of data modeling, and a solid foundation in database technologies, typically supported by a degree in computer science or a related field. Familiarity with big data frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and ETL tools, as well as relevant certifications, is highly beneficial. Excellent problem-solving abilities, teamwork, and clear communication help you collaborate with data scientists and stakeholders effectively. These skills are essential for building robust data pipelines and infrastructure that enable scalable, high-quality machine learning solutions.

How do data engineer ML roles typically collaborate with data scientists and machine learning engineers on projects?

Data Engineer ML professionals work closely with data scientists and machine learning engineers by building and maintaining robust data pipelines, ensuring clean and reliable datasets are readily available for modeling and analysis. They often participate in meetings to understand model requirements, help optimize data storage for performance, and support the deployment of machine learning models into production environments. Effective collaboration involves continuous communication to troubleshoot data issues, implement data validation, and scale solutions as project needs evolve. This teamwork ensures that data-driven projects move efficiently from experimentation to deployment.

What is the difference between Data Engineer Ml vs Data Scientist?

AspectData Engineer MlData Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science certifications
Work EnvironmentBuilding data pipelines, managing databasesAnalyzing data, creating models
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, finance

Data Engineer Ml focuses on developing and maintaining data infrastructure and pipelines, while Data Scientists analyze data and build predictive models. Both roles often collaborate but serve different functions within data teams.

What job categories do people searching Data Engineer Ml jobs in New Port Richey, FL look for?

The top searched job categories for Data Engineer Ml jobs in New Port Richey, FL are:

What cities near New Port Richey, FL are hiring for Data Engineer Ml jobs?

Cities near New Port Richey, FL with the most Data Engineer Ml job openings:

Data Engineer Ml jobs near you
Infographic showing various Data Engineer Ml job openings in New Port Richey, FL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $146,980 per year, or $70.7 per hour.

Data Engineer

Accenture Federal Services

Tampa, FL • On-site

$108K - $129K/yr

Full-time

Posted 16 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

51st of 500 rated business services

Job description

We are looking for a Data Engineer with strong handson experience designing, developing, and managing largescale data workflows across structured and unstructured datasets. This role focuses heavily on building reliable RAG (Retrieval-Augmented Generation) pipelines, orchestrating ETL/ELT processes, and deploying scalable data systems in AWS.

Responsibilities

  • Design, build, and maintain RAG pipelines, including document ingestion, indexing, embedding workflows, and model retrieval flows.
  • Develop and manage structured and unstructured data pipelines supporting analytics, ML, and application workloads. Build and optimize ETL/ELT pipelines in AWS using services such as S3, Lambda, Step Functions, EMR, Glue, ECS/EKS, and IAM best practices. Implement and operate NiFi flows for highthroughput, lowlatency data ingestion and transformation.
  • Develop, orchestrate, and schedule workflows using Prefect, ensuring reliability, observability, and proper error handling. Implement indexing, search, and retrieval patterns using ElasticSearch, including schema design, cluster management, and query optimization.
  • Collaborate closely with architecture, ML, and application teams to support scalable data solutions.
  • Ensure data quality, lineage, governance, and security across all pipelines.
  • Monitor system performance and troubleshoot issues across distributed data systems.

Qualifications

  • Solid understanding of ETL/ELT processes and data modeling best practices.
  • Handson experience implementing workflows in Prefect (Prefect 2.0 preferred). Indepth knowledge of ElasticSearch indexing, cluster management, and search optimization.
  • Proficiency in Python and familiarity with common data libraries (Pandas, PySpark, requests, etc.).

Preferred Qualifications

  • Strong experience with Apache NiFi for data flow management and realtime ingestion.
  • Experience building or maintaining RAG pipelines (e.g., vector databases, embeddings, document chunking strategies, retrieval optimization).
  • Proven ability to manage structured and unstructured data pipelines at scale.
  • Experience with AWS cloud services for data engineering.
  • Strong version control and CI/CD experience.
  • Experience with vector databases (OpenSearch, Pinecone, Weaviate, etc.)
  • Familiarity with containerized workflows (Docker, Kubernetes)
  • Experience supporting LLM or generative AI production systems
  • Background in distributed systems, streaming platforms, or data mesh architectures

Clearance

  • An active TS/SCI federal security clearance is required

What Accenture Federal Services employees say

Pay

Benefits

Hours and flexibility

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