Data Platform Lead

🕒 July 23

🇺🇸 United States – Remote

💵 $149k - $248k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 20%

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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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 and build scalable data pipelines for Revenue Cycle Management use cases • Develop ingestion frameworks for structured and unstructured data, including claims, remits, and account notes • Implement ETL/ELT pipelines and data transformation logic • Build and maintain enterprise data lake/data fabric architectures • Integrate data across enterprise systems and APIs • Ensure data quality, lineage, and governance • Support data services for AI/ML and analytics workflows • Deploy and manage data workloads in cloud environments using modern DevOps practices

🎯 Requirements

• Minimum of SEVEN (7)+ years of overall work experience • Experience building and deploying data pipelines and data platforms in production • Strong SQL and Python skills • Experience with cloud data platforms, including Azure, AWS, or GCP • Experience with ETL/ELT and large-scale data processing • Understanding of data modeling, data quality, and governance • Experience integrating enterprise data sources and APIs • Experience delivering production data systems at scale • Knowledge of data engineering frameworks • Knowledge of data lake/data fabric architectures • Knowledge of structured and unstructured data integration • Knowledge of API integration and data ingestion patterns • Knowledge of data quality, governance, and lineage • Knowledge of CI/CD and DevOps for data pipelines • Knowledge of distributed processing, such as Spark or equivalent • Travel required: up to 25% • No security clearance required

🏖️ Benefits

• Medical, Rx, Dental & Vision Insurance • Personal and Family Sick Time • Company Paid Holidays • Position may be eligible for a discretionary variable incentive bonus • Parental Leave and Adoption Assistance • 401(k) Retirement Plan • Basic Life & Supplemental Life • Health Savings Account • Dental/Vision & Dependent Care Flexible Spending Accounts • Short-Term & Long-Term Disability • Student Loan PayDown • Tuition Reimbursement • Personal Development & Learning Opportunities • Skills Development & Certifications • Employee Referral Program • Corporate Sponsored Events & Community Outreach • Emergency Back-Up Childcare Program • Mobility Stipend • Flexible benefits package