Data Engineer, Databricks

🕒 August 4

🇺🇸 United States – Remote

💵 $113k - $188k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 48%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Guidehouse

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2018

🏥 Healthcare

🎖️ Defense

📦 Logistics

💰 Grant on 2023-02

Healthcare • Defense • Logistics

Guidehouse is a global consultancy offering advisory, digital, and managed services across commercial and public sectors. It is purpose-built to support industries such as national security, financial services, healthcare, energy, and infrastructure. Guidehouse collaborates with leaders to navigate complexity and drives transformational changes that impact the future. Their expertise spans data analytics, digital technologies, risk management, and more, with a strong emphasis on sustainability and innovation.

📋 Description

• Design, build, and maintain scalable data pipelines using Databricks, PySpark, SQL, Delta Lake, and cloud-native data engineering tools • Develop and support batch and streaming data workflows, including ingestion, transformation, validation, and publishing curated data products • Write, optimize, and maintain Python, PySpark, and SQL code for data processing, orchestration, and performance tuning • Work with large-scale datasets using Databricks, Spark, Delta Lake, Unity Catalog, and cloud storage services • Troubleshoot data pipeline failures, performance issues, data quality issues, and workflow bottlenecks • Translate business and technical requirements into data engineering designs, processing scripts, and job orchestration workflows • Perform data validation, quality checks, code reviews, and issue resolution • Collaborate with solution architects, data scientists, analysts, DevOps engineers, and client stakeholders • Communicate technical concepts, delivery impacts, and data engineering considerations to technical and non-technical audiences • Document pipelines, datasets, data models, workflows, and engineering decisions • Follow data governance, security, lineage, and compliance standards within the Databricks platform • Support Guidehouse client projects involving large-scale data pipelines, data transformation, platform modernization, and advanced analytics and AI solution delivery

🎯 Requirements

• Bachelor’s degree in computer science, engineering, mathematics, statistics, or another relevant field • 3-8 years of relevant experience in data engineering, data architecture, or cloud data platform implementation • Strong experience with Python, PySpark, and SQL • Experience with Databricks, Spark, Delta Lake, Unity Catalog, or similar cloud-native data platforms • Experience developing batch or streaming data pipelines and ETL/ELT workflows • Experience with data modeling, data warehousing, data quality validation, and large-scale data processing • Ability to troubleshoot technical issues and communicate engineering recommendations clearly • Experience applying data governance, access control, lineage, and security practices within cloud data platforms • 2+ years of hands-on Databricks platform experience (nice to have) • Experience using Unity Catalog for governance, schema design, data modeling standards, access controls, lineage, and secure enterprise data asset management (nice to have) • Experience with standard medallion data architectures (nice to have) • Active Databricks Data Engineer Associate, Databricks Data Engineer Professional, or related certification (nice to have) • Experience with CI/CD tools and practices (nice to have) • Experience with Azure, AWS, or GCP (nice to have) • Experience in project-based or consulting delivery environments (nice to have) • Familiarity with streaming frameworks, orchestration tools, Terraform, or related data platform administration capabilities (nice to have)

🏖️ Benefits

• Competitive compensation • Flexible benefits package • Flexible work arrangements / virtual work flexibility within the United States • Equal Opportunity Employer protections • Reasonable accommodation support