Data Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟠 Senior

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

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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ProArch

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

ProArch is a technology company that specializes in providing digital engineering, cloud services, data and AI solutions, and cybersecurity measures. They help businesses unleash their full potential by modernizing operations, protecting assets, and delivering data-driven insights. ProArch works closely with clients to eliminate roadblocks to growth and aligns advanced technology solutions with business goals to empower organizational success. As an award-winning Microsoft Gold Partner, they offer a wide range of services including AI consulting, software development, quality assurance, infrastructure management, governance, risk, and compliance solutions, and operational technology services. Their expertise extends to industries such as credit unions, power generation, and manufacturing, providing tailored solutions to meet each sector's unique challenges.

📋 Description

• Architect and implement scalable data pipelines to process and integrate structured and unstructured data. • Design end-to-end data solutions, including Data Lake, Data Warehouse, and Data Mart, for analytics and operational systems. • Leverage UDP framework to consolidate data pipelines across healthcare domains. • Support integration of new data domains through standardized ingestion and transformation frameworks. • Translate business requirements into scalable, high-performing data architectures. • Integrate and optimize data access across distributed systems using data federation and virtualization tools. • Develop reusable data assets for self-service analytics across programs and business domains. • Design and maintain enterprise dimensional data models, including fact tables, conformed dimensions, star schemas, snowflake schemas, and analytical data marts. • Translate business and reporting requirements into scalable analytical data structures and semantic data models. • Develop and maintain semantic layers, curated datasets, and business views for enterprise reporting and analytics. • Design, develop, and maintain Power BI semantic models, datasets, dashboards, and reports for internal and external stakeholders. • Create and optimize DAX measures, calculated columns, KPIs, and business metrics for operational and strategic reporting. • Implement Power BI best practices, including Row-Level Security, deployment pipelines, performance optimization, and governance standards. • Partner with business users and subject matter experts to gather reporting requirements and deliver actionable analytics solutions. • Ensure consistency of business definitions, metrics, and calculations across enterprise reporting and analytics platforms. • Develop and enforce data governance standards for consistency, accuracy, and regulatory compliance, including HIPAA. • Implement data lineage, metadata management, and auditability practices using tools such as AWS Glue Data Catalog. • Establish and manage data stewardship frameworks to improve data quality and trust. • Optimize system performance through data partitioning, indexing, and compression strategies. • Ensure data security through access controls, encryption, and secure design practices.

🎯 Requirements

• Experience with enterprise data modeling tools (e.g., Erwin, SQL Data Modeler) and strong expertise in dimensional modeling methodologies including Star Schema, Snowflake Schema, Fact and Dimension design, and semantic modeling. • Bachelor’s or master’s degree in computer science, Engineering, or related field. • 8+ years of experience in data engineering, with a strong emphasis on data governance and solution design. • Expertise in developing scalable data architectures for enterprise reporting. • Familiarity with MLOps and AI data pipelines leveraging cloud-native services such as AWS SageMaker, Glue ML, or Databricks for feature engineering and model deployment. • Advanced knowledge of data governance tools and frameworks, including AWS Glue Data Catalog, to support enterprise-wide lineage, metadata, and compliance practices. • Strong understanding of cloud data platforms and services, particularly AWS (Redshift, S3, EMR, Lambda) and hybrid integrations with Azure Synapse or equivalent modern data warehouse technologies. • Proficiency in programming and scripting languages (Python, SQL, PySpark) for building, testing, and optimizing scalable data solutions. • Advanced experience developing Power BI semantic models, datasets, dashboards, reports, DAX measures, Power Query transformations, Row-Level Security, and performance optimization. • Experience with Tableau is a plus. • Excellent analytical and troubleshooting skills with attention to detail. • Strong communication skills to effectively articulate technical concepts to non-technical stakeholders. • Ability to prioritize tasks in a dynamic environment and manage multiple initiatives simultaneously. • Certifications in cloud, database, and programming are a plus.