
10,000+ employees
Founded 2018
đ° Grant on 2023-02
Consulting ⢠Digital Services ⢠Public Sector
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.
đĽ 3 minutes ago
đ California â Remote
đľ $149k - $248k / year
â° Full Time
đ Senior
đ° Data Engineer
đŚ H1B Visa Sponsor
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10,000+ employees
Founded 2018
đ° Grant on 2023-02
Consulting ⢠Digital Services ⢠Public Sector
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.
⢠Design and build scalable data pipelines for RCM use cases ⢠Develop ingestion frameworks for structured and unstructured data (claims, remits, 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
⢠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 (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 ⢠SQL, Python, and data engineering frameworks ⢠Data pipelines (ETL/ELT) and large-scale data processing ⢠Cloud data platforms (Azure Data Factory, AWS, GCP) ⢠Data lake / data fabric architectures ⢠Structured and unstructured data integration ⢠API integration and data ingestion patterns ⢠Data quality, governance, and lineage ⢠CI/CD and DevOps for data pipelines ⢠Distributed processing (Spark or equivalent) ⢠Experience delivering production data systems at scale
⢠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
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