Data Engineer

Robert Half is seeking a Contract Data Engineer to support our client’s data and analytics initiatives. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that enable efficient data ingestion, transformation, and delivery. The ideal candidate has strong experience working with modern data platforms, cloud environments, and large-scale datasets.

Key Responsibilities:

• Data Pipeline Development: Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.
• Data Architecture: Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.
• Cloud Data Platforms: Work within cloud environments such as AWS, Azure, or GCP to deploy and manage data solutions.
• Data Warehousing: Design and support enterprise data warehouses using platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse.
• Big Data Processing: Develop solutions using big data technologies such as Spark, Databricks, Kafka, and Hadoop when required.
• Performance Optimization: Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.
• Data Quality & Reliability: Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.
• Collaboration: Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.
• Documentation: Maintain detailed documentation for pipelines, data flows, and system architecture.
• Proven experience as a Data Engineer or in a similar role.
• Strong proficiency in SQL and Python (or similar languages).
• Experience with cloud platforms (AWS, Azure, GCP).
• Hands-on experience with ETL / ELT tools (Airflow, dbt, Fivetran, Matillion, Glue, ADF, etc.).
• Experience with data warehousing platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse.
• Familiarity with streaming and big data tools (Kafka, Spark, Databricks, Hadoop) is a plus.
• Strong understanding of data modeling, performance tuning, and pipeline optimization.
• Experience with version control systems (Git) and agile development practices.
• Excellent problem-solving, analytical, and communication skills.