Data Engineer
$190,000–$190,000 year
On-siteHollywood, Florida, United States
Job Summary
Assess the current data environment, define the future architecture, and build pipelines, models, controls, and data services connecting Microsoft Dynamics 365 Business Central, HubSpot, ecommerce platforms, and production systems. Create an inventory of data sources and map how customer, product, order, and inventory data moves across the company to identify duplicates, missing ownership, and security risks. Establish common data models and standards for batch processing, real-time events, and APIs while implementing automated quality checks, reconciliation, and monitoring for orders, revenue, and inventory. Design secure APIs and governed data access patterns for reporting, dashboards, AI agents, and internal MicroSaaS applications, partnering with CTO, Infrastructure, and business teams to translate technical issues into business risks. Deliver the first high-value governed pipeline within 90 days, establish engineering standards, and present a prioritized roadmap for data foundation improvements.
Required Qualifications
- Seven or more years of experience in data engineering, including experience designing and owning production data platforms.
- Strong hands-on skills in SQL, Python, Apache Spark, Apache Airflow.
- Experience building and supporting ETL or ELT pipelines, APIs, webhooks, and scheduled or event-driven integrations.
- Strong understanding of data modeling for operational systems, analytics, and shared enterprise data.
- Experience with cloud data platforms, data warehouses, lakehouses, or similar modern data environments.
- Experience implementing data quality tests, reconciliation, monitoring, alerting, and incident response.
- Working knowledge of security, access control, encryption, privacy, retention, and audit requirements.
- Experience with Git, code review, automated testing, and deployment pipelines.
- Ability to explain complex technical issues clearly to executives, business leaders, and nontechnical teams.
- Proven ability to work independently, set priorities, document decisions, and deliver working systems.
- Bachelor's degree in computer science, information systems, engineering, or a related field, or equivalent practical experience.
Desired Qualifications
- Experience integrating Microsoft Dynamics 365 Business Central or another enterprise ERP platform.
- Experience with HubSpot, ecommerce platforms, digital marketing platforms, or manufacturing data.
- Experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, Snowflake, BigQuery, Redshift, or a comparable platform.
- Experience with transformation and orchestration tools such as dbt, Airflow, Dagster, or similar technologies.
- Experience building Power BI semantic models or another governed reporting layer.
- Experience preparing enterprise data for AI, retrieval-augmented generation, vector search, agents, or machine learning applications.
- Experience with master data management, metadata catalogs, data lineage, data contracts, and schema governance.
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