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Data Engineer Cdp Jobs in Florida (NOW HIRING)

Manage our CDP (Segment Personas): define audience segments, maintain governance and naming conventions, and work with Engineering to ensure data flows to Iterable cleanly. * Build AI-powered email ...

Web Engineer

Miami, FL · Remote

$170K - $220K/yr

We pioneered the Composable Customer Data Platform (CDP), which lets companies use their own data ... The Web Engineering team owns our public website, which is the face of our company and brand and ...

Engineer III - Software

Clearwater, FL · On-site

$50.75 - $68.25/hr

Data & Analytics: Snowflake, Salesforce CDP. * Experimentation & Observability: Eppo, Datadog. * DevOps: Azure DevOps (ADO), Pipelines. * AI Tooling: Cursor, Claude. QualificationsBasic ...

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Data Engineer Cdp information

What is a data engineer CDP?

Data Engineer CDPs (Customer Data Platforms) are professionals who specialize in designing, building, and maintaining data infrastructure for customer data platforms. They are responsible for collecting, processing, and integrating large volumes of customer data from multiple sources to ensure that the data is accurate, clean, and accessible for marketing, analytics, and business intelligence. Their work enables organizations to create unified customer profiles and deliver personalized experiences across channels. Data Engineer CDPs often work closely with data scientists, analysts, and marketers to support data-driven strategies and compliance with privacy regulations.

How do data engineer CDPs typically collaborate with marketing and analytics teams?

Data Engineers in CDP environments frequently collaborate with marketing and analytics teams to ensure data pipelines are optimized for campaign personalization and customer insights. They translate business requirements into technical solutions, enabling real-time data integration and accessibility for non-technical users. Regular communication is essential to align on data quality, privacy compliance, and the evolving needs of user segmentation, making teamwork and clear documentation key to success in this role.

What are the key skills and qualifications needed to thrive as a data engineer CDP, and why are they important?

To thrive as a Data Engineer CDP, you need strong expertise in data modeling, ETL processes, and database management, often backed by a degree in computer science or a related field. Familiarity with cloud data platforms (such as AWS, Azure, or GCP), experience in programming languages like Python or Scala, and certifications in specific CDP tools (like Cloudera or Snowflake) are typically required. Analytical thinking, problem-solving, and effective communication are critical soft skills for collaborating with cross-functional teams and translating business needs into technical solutions. These skills ensure robust, scalable data architectures and enable efficient data-driven decision-making across the organization.
What cities in Florida are hiring for Data Engineer Cdp jobs? Cities in Florida with the most Data Engineer Cdp job openings:

Data Engineer - Cloud Data Platform (Snowflake & dbt)

AssistRx

Maitland, FL • Remote

$106K - $127K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 14 days ago


AssistRx rating

7.2

Company rating: 7.2 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

134th of 221 rated it services


Job description

Data Engineer - Cloud Data Platform (Snowflake & dbt) Remote Information Technology Full time Maitland, Florida, United States Description About AssistRx AssistRx transforms the patient journey through technology—helping patients access life-saving therapies faster and more efficiently. Our platform connects patients, providers, payers, and manufacturers through secure, scalable, data-driven solutions that power better decisions and better outcomes across the healthcare ecosystem. If you’re passionate about building modern data platforms, working with large-scale cloud data systems, and applying data engineering best practices in a regulated healthcare environment, we’d love to talk. Role Overview AssistRx is seeking a Senior Data Engineer to join our Cloud Data Platform (CDP | Architecture) team. This role is highly hands-on and focused on designing, building, and scaling our modern data platform—with Snowflake and dbt as core, non-negotiable technologies. You will play a critical role in shaping AssistRx’s enterprise data architecture, owning transformation logic, performance optimization, and data modeling patterns that support analytics, reporting, and downstream products across the organization. This is not an entry-level or tool-learning role. We are looking for someone who can contribute immediately in a production Snowflake + dbt environment and help set technical standards for the broader data organization. What You’ll Do Cloud Data Platform & Architecture Design, build, and optimize Snowflake-centric data architectures to support enterprise analytics, reporting, and operational use cases Own dbt transformation layers, including model design, testing, documentation, and deployment best practices Implement scalable data modeling patterns (star schemas, data vault, dimensional models) aligned to business needs Data Engineering & Pipelines Develop and maintain reliable data pipelines integrating sources such as Salesforce, application databases, and external client data Ensure data quality through validation, testing, monitoring, and observability frameworks Optimize Snowflake performance and cost through query tuning, warehouse design, and efficient data modeling Collaboration & Enablement Partner closely with Analytics, BI, Product, and Engineering teams to deliver trusted, analytics-ready datasets Contribute to architectural standards, code reviews, and best practices across the CDP team Document data flows, models, and platform decisions to support long-term scalability and knowledge sharing Governance, Security & Compliance Ensure data pipelines and models meet PHI / PII / HIPAA compliance requirements Support secure access patterns, role-based permissions, and data governance controls Requirements Required Qualifications This role requires strong, hands-on experience in the following areas: 6+ years of experience in data engineering, analytics engineering, or backend data development Advanced Snowflake expertise in a production environment (performance tuning, architecture, optimization) Strong dbt experience building and maintaining transformation layers at scale Expert-level SQL skills, including complex transformations and performance optimization Experience designing and supporting cloud-based data platforms (Snowflake preferred) Hands-on experience integrating data from SaaS platforms (e.g., Salesforce) and operational systems Familiarity with CI/CD concepts for analytics engineering (version control, deployments, testing) Strong understanding of data modeling best practices for analytics and reporting Nice to Have (Not Required) Experience in healthcare, life sciences, or regulated environments Python experience for data engineering or automation Familiarity with Azure-based data tooling (ADF, storage, compute) Exposure to BI tools such as Power BI, Tableau, or ThoughtSpot Why This Role Matters You’ll help define AssistRx’s enterprise data foundation Your work will directly impact executive decision-making, client reporting, and patient-centric solutions You’ll join a team that values clean architecture, strong engineering standards, and real ownership Benefits Supportive, progressive, fast-paced environment Competitive pay structure Matching 401(k) with immediate vesting Medical, dental, vision, life, & short-term disability insurance Opportunity to impact patient outcomes through data-driven healthcare technology. Collaborative and mission-driven culture that values innovation and continuous learning. Access to cutting-edge cloud technologies and modern data engineering tools. Competitive compensation, comprehensive benefits, and career growth opportunities AssistRx, Inc. is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non

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