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Contract Databricks Data Engineer Jobs in Melbourne, FL

Lead, Data Engineer

Melbourne, FL ยท Remote

$127K - $236K/yr

Lead, Data Engineer Job Code: 41065 Job Location: Melbourne, FL or Remote Opportunity Job Schedule ... Experience with Python, Pandas, Databricks, JavaScript, Typescript or other scripting languages

Principal, Data Engineer

Melbourne, FL ยท On-site +1

$153K - $284K/yr

Job Title: Principal, Data Engineer Job Code: 41066 Job Location: Melbourne, FL; or Remote ... Experience with Python, Pandas, Databricks, JavaScript, Typescript or other scripting languages

Python, R, or similar programming languages * Machine learning frameworks (scikit-learn, TensorFlow ... Federal government contract experience * Security clearance or ability to obtain one * Relevant ...

Python, R, or similar programming languages * Machine learning frameworks (scikit-learn, TensorFlow ... Federal government contract experience * Security clearance or ability to obtain one * Relevant ...

What you'll do supporting the Common Data Services (CDS) on EMMETT: * Design, develop, and ... contract requires TS/SCI with poly. The candidate must maintain the clearance. * Must be proficient ...

Machine Learning Engineer

Melbourne, FL ยท On-site

$73K - $131K/yr

Work closely with other senior scientist to understand problem sets, physical data feature sets and ... None Position Contingent Upon Contract Award: Yes Salary Range $73,923.20-$131,331.20 USD REAL ID ...

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Contract Databricks Data Engineer information

See Melbourne, FL salary details

$41.2K

$120.2K

$164.5K

How much do contract databricks data engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for contract databricks data engineer in Melbourne, FL is $120,237.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $127,500.00 per year, depending on experience, location, and employer.

What are common challenges faced by contract Databricks data engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

What is a contract Databricks data engineer?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

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

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.
What are popular job titles related to Contract Databricks Data Engineer jobs in Melbourne, FL? For Contract Databricks Data Engineer jobs in Melbourne, FL, the most frequently searched job titles are:
What job categories do people searching Contract Databricks Data Engineer jobs in Melbourne, FL look for? The top searched job categories for Contract Databricks Data Engineer jobs in Melbourne, FL are:
What cities near Melbourne, FL are hiring for Contract Databricks Data Engineer jobs? Cities near Melbourne, FL with the most Contract Databricks Data Engineer job openings:
Infographic showing various Contract Databricks Data Engineer job openings in Melbourne, FL as of July 2026, with employment types broken down into 65% Full Time, and 35% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $120,237 per year, or $57.8 per hour.

Lead, Data Engineer

L3HHCM20

Melbourne, FL โ€ข Remote

$127K - $236K/yr

Other

Medical, Retirement, PTO

Posted 17 days ago


Job description

Job Title:ย Lead, Data Engineerย 

Job Code:ย 41065

Job Location:ย Melbourne, FL or Remote Opportunity

Job Schedule:ย 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off

Job Description:

L3Harris Enterprise Data and AI team is seeking a Data Engineer with experience in managing enterprise-level data life cycle processes. This role includes overseeing data ETL/ELT pipelines, ensuring adherence to data standards, maintaining data frameworks, conducting data cleansing, orchestrating data pipelines, and ensuring data consolidation. The selected individual will play a pivotal role in maintaining ontologies, building scalable data solutions, and developing dashboards to provide actionable insights for the enterprise within Palantir Foundry. This position will support the company's modern data platform, Unified Data Layer, focusing on data pipeline development and maintenance, data platform design, documentation, and user training. The goal is to ensure seamless access to data for all levels of the organization, empowering decision-makers with clean, reliable data.

Essential Functions:

  • Provide architectural oversight for the company's data platform and related initiatives, ensuring alignment with company standards and best practices
  • Assist development initiatives with design reviews, offering guidance on architecture and data modeling
  • Lead design reviews for proposed solutions, including data sourcing, data pipelines, data models, and ontology resources, providing actionable feedback to enhance design scalability
  • Assist and develop architectural artifacts, perform requirements decomposition, and develop other documentation to support the software development lifecycle (SDLC)
  • Support the SDLC process by participating in data architecture review sessions, reviewing proposed solutions for compliance with architectural standards
  • Oversee and provide guidance for data pipelines, ensuring scalability, reusability, and performance
  • Utilize Palantir Foundry to perform data integration and ontology management to support big data analytics at scale
  • Collaborate with cross-functional teams to define data governance, metadata, and ontology standards, ensuring consistency and clarity across the data platform and enterprise
  • Remain current with emerging data technologies and frameworks to recommend improvements to the data platform architecture

Qualifications:

  • Bachelor's Degree and minimum 9ย years prior Palantir experience orย Graduate Degree and a minimum of 7ย years of prior Palantir experienceย In lieu of degree, minimum 13ย years of prior Palantir experience.
  • Minimum of 4ย years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS, or Python.
  • Minimum of 4ย years of experience in Data Integration.

Preferred Additional Skills:

  • Experience supporting or implementing solutions that leverage Generative AI capabilities, including Retrieval-Augmented Generation (RAG), semantic search, and LLM integration
  • Experience with Palantir Foundry tools such as Ontology Manager, Compass, Code Repository, Solution Designer, OSDK, AI FDE, and AIP Analyst
  • Understanding of BI (Business Intelligence) & DW (Data Warehouse) development methodologies
  • Experience with Python, Pandas, Databricks, JavaScript, Typescript or other scripting languages
  • Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex, or similar
  • Hands on Experience with design, development of Data Pipelines in Palantir Foundry Pipeline Builder or Code Repository, or similar technologies leveraging PySpark and Spark SQL
  • Familiarity with SDLC processes and architecture review or data governance board processes

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $127,000-$236,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $110,500-$205,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

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