Senior Data Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $117.6k - $161.7k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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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

• Design, develop, and maintain scalable data pipelines and workflows using Azure Databricks • Develop and maintain SAS programs and SSIS packages for intermediate and downstream data processing • Write, optimize, and maintain complex SQL queries to support data transformation and analytical use cases • Design and build ETL/ELT pipelines integrating data from multiple internal and external source systems • Select, implement, and support Big Data tools and frameworks for data processing and integration • Monitor, troubleshoot, and resolve complex data processing issues, applying root cause analysis and preventative fixes • Optimize data pipelines for performance, scalability, reliability, and cost efficiency • Recommend and support infrastructure improvements to meet evolving data volume and processing demands • Partner with product management and SRE teams to define requirements and translate them into actionable engineering work • Collaborate effectively with engineers, stakeholders, and cross functional teams to ensure alignment on data strategy, architecture, and outcomes

🎯 Requirements

• Bachelor’s degree in a science, engineering, or computing related discipline or equivalent practical experience • 8+ years of experience designing and building production grade batch data pipelines for data ingestion and transformation • 8+ years of overall experience in data engineering or related roles • Strong proficiency in the following technologies: SQL, Databricks, Python, Apache Spark, Git, Azure Services (Synapse, Azure ADLS Gen 2) • Strong understanding of relational database principles, data modeling, database management, and data warehousing. • Strong knowledge of Big Data querying tools • Experience optimizing large-scale data pipelines and ETL workflows. • Excellent communication and interpersonal skills.

🏖️ Benefits

• Generous PTO package • Health benefits effective day 1 • Annual Incentive Plan • 401K - Excellent company match • Well-being program • Paid Volunteer Time Off