About the Data Engineer Role at Robert Half

Join Robert Half's innovative technology team as a Data Engineer in Jacksonville, Florida. We're looking for a talented professional to build and maintain scalable data pipelines that power analytics, reporting, and machine learning initiatives across the organization. In this critical role, you'll transform raw data into clean, reliable, and accessible datasets that drive strategic business decisions and fuel growth. As a Data Engineer, you'll work at the intersection of data infrastructure and business intelligence, ensuring our data ecosystem is robust, efficient, and future-proof.

Robert Half is a leader in professional services, connecting top talent with exceptional opportunities. This position offers the chance to work with cutting-edge technologies in a collaborative environment, contributing to projects that impact thousands of users and generate real business value. If you have a passion for data architecture, pipeline optimization, and delivering high-impact solutions, this Data Engineer role in Jacksonville, FL is your next career step.

Key Responsibilities

Core Data Infrastructure Development

• Design, build, and maintain scalable data warehouses and data lakes using modern cloud-native architectures.
• Develop robust ETL/ELT pipelines to integrate data from diverse sources including databases, APIs, SaaS platforms, and streaming services.
• Optimize data processing workflows for performance, cost-efficiency, and reliability at enterprise scale.

Data Quality and Governance

• Implement comprehensive data quality frameworks, including validation, cleansing, and monitoring processes.
• Enforce data security protocols, compliance standards (GDPR, CCPA), and access controls.
• Establish data governance practices to maintain lineage, metadata management, and audit trails.

Collaboration and Automation

• Partner with data analysts, data scientists, and ML engineers to create feature-rich, analytics-ready datasets.
• Automate deployment, testing, and monitoring using CI/CD pipelines, Infrastructure as Code (IaC), and observability tools.
• Build alerting systems and dashboards for proactive pipeline health monitoring and issue resolution.

These responsibilities ensure our data infrastructure supports real-time analytics, advanced ML models, and executive reporting, positioning Robert Half at the forefront of data-driven decision making.

Required Qualifications

To succeed in this Data Engineer position, you'll need a blend of technical expertise, analytical thinking, and collaborative skills. Key qualifications include:

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related quantitative field (Master's preferred).
• 3-5+ years of hands-on experience in data engineering, ETL development, or data platform engineering.
• Advanced proficiency in SQL, Python (Pandas, PySpark), and data orchestration tools like Apache Airflow or dbt.
• Strong experience with cloud data platforms: AWS (Redshift, S3, Glue), Azure Synapse, or Google BigQuery.
• Demonstrated expertise in data modeling (dimensional, star schema), partitioning, and indexing strategies.
• Familiarity with big data technologies (Spark, Kafka, Hadoop) and containerization (Docker, Kubernetes).
• Experience implementing data quality tools (Great Expectations, Soda) and monitoring solutions (Datadog, Prometheus).
• Proven track record of optimizing complex queries and pipelines for petabyte-scale datasets.
• Excellent communication skills with the ability to translate technical concepts to non-technical stakeholders.

Bonus points for certifications (AWS Certified Data Analytics, Google Professional Data Engineer) and experience with dbt, Snowflake, or real-time streaming pipelines.

Why Join Robert Half as a Data Engineer?

At Robert Half, we invest in our people and their professional growth. This Data Engineer role offers:

• Competitive Compensation: $110,000 - $145,000 base salary (commensurate with experience) plus performance bonuses.
• Comprehensive Benefits: Medical, dental, vision coverage; 401(k) with generous matching; paid parental leave.
• Work-Life Balance: Hybrid work model, flexible hours, unlimited PTO after first year.
• Professional Development: $5,000 annual learning stipend, access to top conferences, mentorship programs.
• Career Growth: Clear path to Senior Data Engineer, Data Architect, or Engineering Manager roles.
• Innovative Environment: Work with the latest cloud technologies on impactful projects serving Fortune 500 clients.

Jacksonville, Florida offers an ideal blend of professional opportunity and quality of life – beautiful beaches, vibrant culture, no state income tax, and a growing tech scene. Robert Half provides relocation assistance for qualified candidates.

Ready to build the data foundation for tomorrow's success? Apply now and join our team of data innovators. Robert Half is an equal opportunity employer committed to diversity and inclusion.