Lead Data Engineer

🕒 May 28

🇺🇸 United States – Remote

💵 $117.6k - $161.7k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote 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

Humana

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1961

⚕️ Healthcare Insurance

Healthcare Insurance

Humana is a healthcare company dedicated to making a positive impact on the health of individuals, communities, and the healthcare system as a whole. With a focus on putting health first, Humana serves a diverse range of populations, including seniors and the military, providing Medicare Advantage HMO, PPO, and PFFS plans. Humana is committed to fostering a culture of belonging and mutual respect, offering competitive and flexible benefits to ensure the financial security of its employees and their families. The company prides itself on creating an inclusive workplace where everyone has the opportunity to succeed.

📋 Description

• Lead the architecture, engineering, and stabilization of the centralized Finance reporting data platform supporting enterprise Finance reporting and analytics initiatives. • Design and implement scalable Databricks lakehouse solutions utilizing Bronze/Silver/Gold (Medallion) architecture patterns to support Finance reporting, month-end close processes, and analytical workloads • Develop and optimize advanced Databricks notebooks, workflows, Delta Lake pipelines, and orchestration frameworks to ingest, transform, validate, and operationalize large-scale Finance datasets. • Engineer reporting-ready analytical datasets and dimensional models optimized for enterprise Power BI reporting, semantic models, and governed self-service analytics • Develop advanced SQL-based transformation logic, financial aggregations, reconciliations, and reporting datasets utilizing Databricks SQL and Snowflake capabilities • Design and maintain scalable star schema and curated reporting layer structures supporting financial hierarchies, KPI standardization, P&L reporting, variance analysis, and executive reporting requirements. • Establish and maintain standardized financial hierarchies, mappings, and metric definitions across business lines, ensuring consistency across reporting outputs • Lead month-end Finance data operationalization processes, including ingestion, snapshot management, reconciliations, validation controls, auditability, and close-cycle reporting readiness. • Implement enterprise-grade data quality, lineage, monitoring, validation, and change management frameworks to ensure financial data accuracy, traceability, and governance compliance • Partner with FP&A, Accounting, Reporting & Analytics leadership, and enterprise data teams to translate Finance reporting requirements into scalable data and reporting platform solutions. • Provide technical leadership and architectural guidance across Finance data platform initiatives, establish engineering standards and best practices, and oversee vendor/offshore delivery execution.

🎯 Requirements

• Bachelor's degree in Information Systems, Computer Science, Analytics, Finance, or related field • 6+ years of experience in data engineering, BI data architecture, or analytics platforms • 3+ years of leadership experience leading data/BI engineering projects or platforms • 2+ years of people leadership experience with direct reports • Advanced SQL expertise for large-scale data transformation, modeling, and performance optimization • Advanced hands-on experience with Databricks engineering, including Spark, PySpark, Delta Lake, notebooks, workflows, and orchestration. • Strong understanding and practical implementation experience with Medallion Architecture (Bronze/Silver/Gold) and lakehouse design patterns. • Advanced SQL expertise, including complex transformations, performance optimization, window functions, dimensional modeling, and large-scale financial data processing. • Strong Power BI experience, including semantic model design, star schema modeling, dataset optimization, DAX understanding, and enterprise reporting enablement. • Experience designing curated analytical datasets optimized for reporting and self-service analytics consumption. • Experience operationalizing month-end Finance reporting processes, reconciliations, data validations, and close-cycle reporting support. • Experience working with Snowflake and cloud-based enterprise data platforms. • Strong stakeholder partnership experience with Finance, FP&A, Accounting, and Reporting organizations.

🏖️ Benefits

• medical, dental and vision benefits • 401(k) retirement savings plan • time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave) • short-term and long-term disability • life insurance • many other opportunities