Senior Data Engineer
About The Position
The Senior Data Engineer designs, builds, and maintains data processing solutions that enable the efficient transformation of structured and unstructured data into meaningful insights. Working closely with engineers and cross functional partners, this role contributes to data ingestion from internal and external sources using cloud‑native platforms, established engineering best practices, and proven design patterns. This position supports the design, development, and maintenance of scalable data solutions and supporting software applications based on business requirements. The work involves moderately complex to complex problem solving and requires in‑depth analysis of data, systems, and variable factors. The Data Engineer ensures reliable collection, storage, processing, and analysis of large data sets while aligning solutions with enterprise architecture standards. In addition, the Data Engineer contributes to data and software solutions that leverage big data, artificial intelligence, and machine learning techniques to cleanse, organize, and transform data into actionable insights—supporting Humana’s mission to better serve its members. We are seeking a talented Senior Data Engineer who is passionate about building innovative data solutions and contributing to pioneering work within the space technology domain. This role is well suited for a collaborative team player who thrives in a fast-paced, iterative delivery environment and is motivated by solving complex problems. The Senior Data Engineer will design, build, maintain, and optimize scalable data pipelines and data‑driven solutions. This role focuses on developing systems for collecting, storing, processing, and analyzing large volumes of data while ensuring high standards of data quality, reliability, and performance. The successful candidate will evaluate and select appropriate technologies, implement and monitor data workflows, and continuously improve data platform capabilities. This position requires close collaboration with software engineering and analytics teams to integrate data solutions into shared platforms and architectures, applying strong engineering principles to support both business and analytical needs.
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.
Nice To Haves
- Experience working on cloud migrations and legacy modernization.
- Experience working with Snowflake.
- Experience working in a healthcare space and designing systems to protect member PHI and PII.
Responsibilities
- 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
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
- 401(k) retirement savings plan
- time off (including paid time off, company and personal holidays, paid parental and caregiver leave)
- short-term and long-term disability
- life insurance
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What This Job Offers
Job Type
Full-time
Career Level
Senior
