Senior Data Engineer

🔥 0 minutes ago

🇺🇸 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.

👻 Ghost score 0%

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

Humana

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1961

🏥 Healthcare

🛡️ Insurance

⚕️ Healthcare Insurance

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 for data transformation and analytical use cases • Design and build ETL/ELT pipelines integrating multiple internal and external source systems • Select, implement, and support Big Data tools and frameworks • Monitor, troubleshoot, and resolve complex data processing issues using root cause analysis and preventative fixes • Optimize data pipelines for performance, scalability, reliability, and cost efficiency • Recommend and support infrastructure improvements for evolving data volume and processing demands • Partner with product management and SRE teams to define requirements and translate them into engineering work • Collaborate with engineers, stakeholders, and cross-functional teams on data strategy, architecture, and outcomes • Contribute to data and software solutions leveraging big data, artificial intelligence, and machine learning to produce actionable insights

🎯 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 SQL, Databricks, Python, Apache Spark, Git, and Azure Services including Synapse and 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 • Minimum 25 Mbps download and 10 Mbps upload internet connection required • Dedicated workspace without ongoing interruptions to protect member PHI/HIPAA information

🏖️ Benefits

• Generous PTO package • Health benefits effective day 1 • Annual Incentive Plan • 401K - Excellent company match • Well-being program • Paid Volunteer Time Off • Medical, dental and vision benefits • Paid time off, company and personal holidays • Paid parental and caregiver leave • Short-term and long-term disability • Life insurance • Telephone equipment appropriate to meet business requirements • Bi-weekly internet expense payment for employees working from home in California, Illinois, Montana, or South Dakota • Occasional travel to Humana offices for training or meetings