Senior Data Engineer

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $155k - $190k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Rearc

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

Artificial Intelligence • Cloud

Rearc is a boutique, engineering-driven services firm specializing in cloud, data, and generative AI solutions. They are known for their innovation and engineering delivery excellence, empowering small teams to achieve significant results and foster creativity. Rearc offers services such as GenAI quickstart, secure data collaboration, data platform foundation, and cloud platform engineering. Their services are comprehensive and adaptable to meet the specific needs of their clients. Rearc has expertise in building foundational data platform capabilities, cloud governance, and the use of AWS products.

📋 Description

• Serve as a senior technical contributor on client data projects • Contribute to architecture, guide implementation, and ensure delivered solutions match commitments • Design and implement scalable, reliable data pipelines and lakehouse architectures on Databricks and cloud platforms • Write and review production-quality code • Translate complex client requirements into technical designs, reference architectures, and data models • Support technical scope and timelines, identify blockers, and partner with project managers and client stakeholders • Mentor junior and mid-level data engineers through pairing, code review, and feedback • Contribute technical blogs, reference architectures, and internal guides • Establish and enforce DataOps standards including automated testing, observability, version control, CI/CD, and documentation

🎯 Requirements

• 6+ years of hands-on data engineering experience, designing and delivering production-grade data platforms • Expert-level Apache Spark knowledge, including runtime internals, performance tuning, and optimization • Production-quality Python coding skills • Scala experience is a strong plus • Experience building and productionizing solutions on Databricks, including Delta Lake architectures, Unity Catalog governance, and Databricks Workflows • Databricks certification is a strong plus • Experience across at least two major cloud platforms (AWS, Azure, GCP), with depth in at least one • Experience with cloud-native services such as AWS Redshift/Glue/S3, Azure Synapse/Data Factory/ADLS, or Google BigQuery/Dataflow/GCS • Experience with CI/CD for data pipelines, automated testing, observability, and infrastructure-as-code • Experience spanning ETL/ELT design, data warehousing, lakehouse architecture, and data modeling • Strong communication skills with technical and non-technical stakeholders

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