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Trainee Databricks Data Engineer Jobs in Boca Raton, FL

Work with customer data platforms and data pipelines (e.g., Databricks, RudderStack) to ensure data ... Partner with IT and data engineering teams to support integrations, data flows, and system ...

Work with customer data platforms and data pipelines (e.g., Databricks, RudderStack) to ensure data ... Partner with IT and data engineering teams to support integrations, data flows, and system ...

Work with customer data platforms and data pipelines (e.g., Databricks, RudderStack) to ensure data ... Partner with IT and data engineering teams to support integrations, data flows, and system ...

We are seeking a Senior BI Developer to join our team. If you enjoy executing a daily checklist of ... Experience with Databricks and Data Lake concepts * Experience using DAX preferred What you can ...

Knowledge of databases, data analytics and visualization tools (Oracle SQL Developer, Python, Power BI and Tableau) * Proficient in Microsoft Azure Data Lake Storage (ADLS), Azure Databricks, Azure ...

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Trainee Databricks Data Engineer information

See Boca Raton, FL salary details

$42.2K

$123.1K

$168.4K

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

As of Jun 18, 2026, the average yearly pay for trainee databricks data engineer in Boca Raton, FL is $123,096.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,700.00 and $130,500.00 per year, depending on experience, location, and employer.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Data Engineer can be competitive, as it requires strong skills in Spark, cloud platforms, and data pipeline development. Candidates often need relevant experience, technical certifications, and a solid understanding of big data tools to improve their chances.

Does Databricks hire new grads?

Databricks often hires new graduates for entry-level roles such as Trainee Data Engineer positions. These roles typically require familiarity with cloud platforms, data processing tools, and programming languages like Python or SQL. Candidates should review specific job postings for qualification details and preferred skills.

How much do Databricks data engineers make?

Databricks data engineers typically earn between $90,000 and $140,000 annually, depending on experience, location, and skill level. Professionals with expertise in Spark, cloud platforms, and data pipeline development tend to command higher salaries.

What is the difference between Trainee Databricks Data Engineer vs Junior Data Engineer?

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.
What are the most commonly searched types of Databricks Data Engineer jobs in Boca Raton, FL? The most popular types of Databricks Data Engineer jobs in Boca Raton, FL are:
What are popular job titles related to Trainee Databricks Data Engineer jobs in Boca Raton, FL? For Trainee Databricks Data Engineer jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Trainee Databricks Data Engineer jobs in Boca Raton, FL look for? The top searched job categories for Trainee Databricks Data Engineer jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Trainee Databricks Data Engineer jobs? Cities near Boca Raton, FL with the most Trainee Databricks Data Engineer job openings:
Business Consultant Specialist

Full-time

Medical, Life

Posted 27 days ago


Job description

Do you enjoy turning complex platform usage data into clear, real-time operational insights that help teams act fast?

Are you excited to build AI-driven monitoring that detects abnormal patterns early and improves customer outcomes?

About the Business


LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management.

You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/.

About the Team

The Business Services team partners closely with technology, operations, and product groups to ensure our platforms are reliable, observable, and continuously improving. We focus on operational intelligence, early issue detection, and translating data into meaningful action for the business.


About the Role

Operational Intelligence Analyst (AI & Analytics) - This role sits at the intersection of data science, platform monitoring, and customer experience-responsible for translating complex product usage data into actionable insights, alerts, and proactive interventions that protect revenue and improve platform health. As a core member of the Operational Intelligence team, this role partners closely across technology and operations to deliver real-time visibility, anomaly detection, and rapid response capabilities across product platforms.

Responsibilities

  • Analyze large-scale usage datasets using SQL and data science methodologies to identify trends, patterns, and anomalies in product platform activity.
  • Design, develop, and deploy AI models that automatically dashboard active usage and flag abnormal patterns in real time.
  • Build and maintain operational alerts, interactive dashboards, and visualization solutions using Databricks, Elastic AI, Kibana, PowerBI, and related tools.
  • Create data profiles and leverage them to generate timely, actionable analytics that support rapid business decision-making and operational response.
  • Partner closely with operations teams to establish and refine early-escalation workflows for customers experiencing issues with our product platforms.
  • Continuously monitor platform health metrics, perform root-cause analysis on usage anomalies, and recommend data-driven improvements to alerting logic and dashboards.
  • Collaborate with cross-functional stakeholders to translate business requirements into technical analytics solutions that deliver clear operational value.
  • Document analytics processes, model logic, and dashboard architectures to ensure knowledge sharing and long-term maintainability of the Operational Intelligence platform.
  • Stay current with emerging tools and best practices in data science, AI-driven monitoring, and business intelligence to drive continuous innovation within the team.
  • This role is ideal for a data-savvy consultant who thrives at the intersection of technical analytics and business impact.

Requirements:

Data Engineering & Analysis Foundation

  • Advanced SQL (required) with hands-on experience querying large-scale, high-velocity datasets
  • Experience working with distributed data platforms (e.g., Databricks, Spark, or similar)

Applied Data Science / ML Exposure (Practical > Theoretical)

  • Experience building or tuning anomaly detection, forecasting, or pattern recognition models
  • Ability to operationalize models into alerting or reporting systems (not just notebooks)

Monitoring, Alerting & Observability Mindset

  • Experience designing or supporting alerting frameworks tied to system or business thresholds
  • Familiarity with tools like Elastic, Kibana, Splunk, or similar observability platforms

Dashboarding & Visualization Experience

  • Proven ability to build actionable dashboards (Power BI, Kibana, etc.)
  • Focus on usability, surfacing signals vs. noise for operational teams

Root Cause & Incident Analysis Skillset

  • Demonstrated ability to investigate anomalies, trace issues across systems, and identify root causes
  • Experience translating data signals into clear operational or business impacts

Cross-Functional Business Translation

  • Ability to work directly with operations, product, and engineering teams
  • Converts ambiguous business needs into structured data/analytics solutions

Automation & Continuous Improvement Orientation

  • Experience improving alert logic, reducing false positives, and scaling analytics workflows
  • Exposure to scripting (Python preferred) for data processing or automation

Documentation & Platform Ownership Mindset

  • Ability to document data models, dashboards, and alerting logic for reuse and maintainability
  • Operates as a long-term owner of analytics assets-not just a builder

Working for You:

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:


- Medical Inpatient and Outpatient Insurance: Coverage for your healthcare needs.
- Life Assurance Policies: Providing financial security for your loved ones.
- Modern Family Benefits: Support for maternity, paternity, and adoption needs.
- Long Service Award: Recognition for your dedication and loyalty.
- Celebratory Allowance/Gifts: Marking special occasions to celebrate with you.
- Flexible Benefits Plan : Offering you wider choice of services and products
- Employee Assistance Program : Access support for personal and work-related challenges.
- Flexible Working Arrangements: Balance work and personal life effectively.
- Access to Learning and Development Resources: Empowering your professional growth.

U.S. National Base Pay Range: $86,600 - $144,400. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Formor please contact 1-855-833-5120.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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