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Associate Data Engineer Jobs in Palm Bay, FL (NOW HIRING)

L3HHCM20

Associate, Data Architect

Melbourne, FL

$74K - $138K/yr

Job Title: Associate, Data Architect Job Code: 43046 Job Location: Multiple (Rochester, NY ... Engineers and team members to understand data sources, structures, and pipelines that feed BI ...

L3HHCM20

Senior Associate, Data Architect

Melbourne, FL

$84K - $156K/yr

Senior Associate, Data Architect Job Code: 43047 Job Location: Multiple (Rochester, NY, Melbourne ... Engineers and team members to understand data sources, structures, and pipelines that feed BI ...

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All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Palm Bay, FL

Associate Data Engineer information

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$26

How much do associate data engineer jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for associate data engineer in Palm Bay, FL is $16.01, according to ZipRecruiter salary data. Most workers in this role earn between $13.12 and $17.07 per hour, depending on experience, location, and employer.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

What are the most commonly searched types of Data Engineer jobs in Palm Bay, FL?

The most popular types of Data Engineer jobs in Palm Bay, FL are:

What are popular job titles related to Associate Data Engineer jobs in Palm Bay, FL?

For Associate Data Engineer jobs in Palm Bay, FL, the most frequently searched job titles are:

What cities near Palm Bay, FL are hiring for Associate Data Engineer jobs?

Cities near Palm Bay, FL with the most Associate Data Engineer job openings:

Associate Data Engineer jobs near you

Associate, Data Architect

Melbourne, FL

L3HHCM20
See more jobs at L3HHCM20external

$74K - $138K/yr

Full-time

Medical, Retirement, PTO

Posted 6 days ago

Job description

Job Title: Associate, Data Architect 

Job Code: 43046

Job Location: Multiple (Rochester, NY, Melbourne, FL, Salt Lake City, UT, Londonderry, NH, Nashville, TN, Carlsbad, CA)

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

Job Description:
This position is responsible for transforming data into meaningful, actionable insights that support segment-wide decision-making. As a member of the CSD Business Intelligence team, the selected candidate will partner with stakeholders across all business functions to gather requirements, develop Power BI dashboards and reports, and present data in a way that tells a clear and compelling story. This role is well suited for a motivated early-career professional eager to grow in a close-knit, geographically distributed team environment where curiosity, communication, and collaboration are highly valued.
Essential Functions:
   Engage with stakeholders across all business functions to gather, understand, and document reporting and analytical requirements
   Build new Power BI dashboards and reports from scratch as well as maintain, improve, and optimize existing BI solutions
   Present data in a visually compelling way that tells a clear story and drives understanding and action among stakeholders
   Apply data visualization best practices to ensure dashboards are accurate, accessible, and easy to interpret
   Perform data analysis to identify trends, anomalies, and insights that support business objectives
   Collaborate with Data Engineers and team members to understand data sources, structures, and pipelines that feed BI solutions
   Identify opportunities to automate manual processes and workflows using Power Automate, Power Apps, Python, or Excel macros/VBA
   Contribute to a team culture of openness, knowledge sharing, and continuous improvement


Qualifications: To be eligible, applicants must be pursuing a bachelor's degree in Business, Information Systems, Data Science or related field or have completed their bachelor's degree within the last 12 months, regardless of age.  
Preferred Additional Skills:
   Experience with DAX for calculated measures and advanced report logic in Power BI
   Familiarity with Power Query for data transformation
   Experience with process automation tools such as Power Automate, Power Apps, Python, or Excel macros/VBA
   Familiarity with Snowflake or other cloud data platforms

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C. area, Denver, or NYC areas is $74,000 - $138,000. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, Vermont and Virginia is $64,500 - $120,500. 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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