Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted yesterday

Data Engineer

Brown & Brown307 open roles

Where
Plano, TX, USA
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowData EngineerBrown & Brown · Plano, TX, USA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Brown & Brown's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted yesterday

The posting

Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers.

Brown & Brown is seeking a Data Engineer to join our growing team in Plano, TX!

As a Data Engineer, you will play an important role in advancing our Data & AI Platform capabilities by designing, building, and operating modern data solutions that support AI/ML, analytics, business intelligence, and enterprise insights. You will work within a collaborative engineering team to develop reliable, scalable, and governed data solutions using modern cloud and lakehouse technologies. You will partner with engineers, product owners, architects, and business stakeholders to understand requirements and translate them into production-ready data pipelines and data products.

This is a hands-on engineering role with responsibility across the development lifecycle, including design, development, testing, deployment, monitoring, troubleshooting, and ongoing optimization of data solutions.

What Will You Do?

  • Design, develop, test, deploy, and support scalable batch and streaming data solutions.
  • Build Databricks-native data engineering solutions using Delta Lake, Lakeflow Declarative Pipelines, Databricks Jobs, Auto Loader, Structured Streaming, and Unity Catalog.
  • Develop production-grade ingestion, transformation, and data-processing pipelines using Python, PySpark, Apache Spark, and SQL.
  • Build reliable and governed data pipelines that improve the accuracy, consistency, accessibility, and trustworthiness of enterprise data.
  • Develop reusable components, libraries, templates, and automation to improve engineering productivity and solution consistency.
  • Implement data-quality validation, monitoring, observability, and remediation processes for critical data assets.
  • Integrate data solutions with governance capabilities, including metadata, lineage, classification, certification, ownership, and access controls.
  • Develop and maintain governed data assets supporting AI, Machine Learning, analytics, semantic models, APIs, Genie Spaces, and AI agents.
  • Build and maintain workflow orchestration, including scheduling, dependencies, parameters, retries, notifications, and operational monitoring.
  • Troubleshoot and optimize data workloads using Spark diagnostics, job logs, query plans, partitioning strategies, join optimization, and Adaptive Query Execution.
  • Support production data solutions through monitoring, incident resolution, performance tuning, migrations, upgrades, and cost optimization.
  • Participate in technical design discussions, code reviews, testing, and continuous improvement of engineering practices.
  • Collaborate with product owners, architects, operations teams, and other engineers to resolve technical dependencies and deliver solutions.
  • Maintain technical documentation for data pipelines, data models, operational procedures, and engineering solutions.

Required Qualifications

  • Bachelor’s degree in computer science, Engineering, Mathematics, Information Systems, or a related STEM field, or equivalent education and professional experience.
  • 4+ years of experience in data engineering, software engineering, or a related technical discipline, including experience developing and supporting production data solutions.
  • Hands-on experience with Apache Spark/PySpark, Delta Lake, Python, and SQL.
  • Experience building and supporting production batch and/or streaming data pipelines.
  • Experience with Databricks capabilities such as Lakeflow Declarative Pipelines, Databricks Jobs, Auto Loader, Structured Streaming, Delta Lake, and Unity Catalog.
  • Experience developing ETL/ELT pipelines for ingesting, transforming, validating, and publishing enterprise data.
  • Experience with workflow orchestration, including scheduling, dependencies, parameters, retries, notifications, and monitoring.
  • Understanding of Unity Catalog and data governance concepts, including catalogs, schemas, tables, views, lineage, access controls, and permissions.
  • Experience with Git and CI/CD practices and exposure to Infrastructure as Code technologies such as Terraform or Databricks Asset Bundles.
  • Strong Python and SQL development skills with the ability to create maintainable, testable, and production-ready data solutions.
  • Experience troubleshooting and optimizing Spark workloads using Spark UI, job logs, query plans, partitioning, and join optimization.
  • Understanding of relational, dimensional, logical, and physical data modeling concepts.
  • Experience working across the engineering lifecycle, from requirements and development through testing, deployment, monitoring, and production support.
  • Strong problem-solving and analytical skills with the ability to diagnose and resolve data and production issues.
  • Strong written and verbal communication skills with the ability to collaborate effectively with technical and business teams.
  • Experience working within Agile delivery models such as Scrum, Kanban, or SAFe.
  • Advanced experience with Python and PySpark for data processing, automation, and reusable engineering components.
  • Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.
  • Experience with cloud storage technologies such as Azure Data Lake Storage Gen2, Amazon S3, OneLake, or Google Cloud Storage.
  • Experience with modern data technologies such as Snowflake, Apache Iceberg, Apache Hudi, or BigQuery.
  • Experience building ingestion pipelines using Databricks Auto Loader.
  • Experience developing streaming solutions using Structured Streaming
  • Experience designing or consuming REST APIs and web services.
  • Experience implementing data-quality, metadata, governance, or lineage capabilities.
  • Experience developing data products supporting AI, Generative AI, Machine Learning, semantic models, APIs, advanced analytics, Genie Spaces, or AI agents.
  • Experience working with insurance and Health domain data
  • Practical experience using AI-assisted development tools such as GitHub Copilot, Claude, or Databricks AI-assisted development capabilities to improve engineering productivity.
  • Strong experience building and supporting production-scale Databricks Lakehouse solutions.
  • Strong Python skills applied to reusable data engineering frameworks, automation, libraries, and utilities.
  • Experience working with Delta Lake and modern lakehouse architectures.
  • Experience developing governed datasets and data products for analytics, AI, and Generative AI use cases.
  • Experience with automated testing, deployment pipelines, Infrastructure as Code, and modern software engineering practices.
  • Demonstrated ability to troubleshoot complex data problems and improve the reliability, performance, and maintainability of existing solutions.
  • A strong engineering mindset with an emphasis on quality, automation, observability, scalability, and continuous improvement.

Teammate Benefits & Total Well-Being

We go beyond standard benefits, focusing on the total well-being of our teammates, including:

  • Health Benefits: Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance
  • Financial Benefits: ESPP; 401k; Student Loan Assistance; Tuition Reimbursement
  • Mental Health & Wellness: Free Mental Health & Enhanced Advocacy Services
  • Beyond Benefits: Paid Time Off, Holidays, Preferred Partner Discounts and more.

Not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Benefit details and offerings may vary for subsidiary entities or in specific geographic locations.

Recruiting Vendor Disclosure Statement

Brown & Brown does not accept unsolicited resumes from external recruiters, recruitment vendors or employment agencies ("Recruiting Vendors"). Recruiting Vendors must have a valid written agreement and received prior written authorization from an authorized Brown & Brown representative before submitting candidates for any publicly posted role. Any unsolicited resumes submitted to Brown & Brown or its employees become the property of Brown & Brown, and no fees will be paid for such submissions. Additional information regarding this policy can be found on our careers page.

The Power To Be Yourself

As an Equal Opportunity Employer, we are committed to fostering an inclusive environment comprised of people from all backgrounds, with a variety of experiences and perspectives, guided by our Diversity, Inclusion & Belonging (DIB) motto, “The Power to Be Yourself”.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Brown & Brown's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Brown & Brown's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Brown & Brown's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.