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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Humana Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $117,600.0 - $161,700.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Software Applications, Microsoft Azure, Big Data, Cloud Computing, Code Review, Cyber Security, Data as a Services, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Warehousing, Relational Databases, Software Design Patterns, Internet Services, Python (Programming Language), Machine Learning, SAS (Software), Software Engineering, Software Systems, SQL Databases, SQL Server Integration Services, Data Streaming, Data Processing, Freeform SQL, Cloud Platform System, Data Ingestion, Snowflake, Apache Spark, Data Strategy, Git, Build Management, Information Technology, Apache Flink, Data Analytics, Data Management, Data Pipelines, Databricks - **Published:** October 2, 2026 - **Apply:** https://www.builtincolorado.com/job/senior-data-engineer/11473437?handler=ApplyRedirect ## About the Role * 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 have Qualifications * 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. ## Description Designs, builds, maintains, and optimizes scalable data pipelines and ETL/ELT workflows using Azure Databricks, SAS, SSIS, SQL, Python, and Spark. Integrates data from internal and external sources, improves performance and reliability, troubleshoots complex processing issues, and supports cloud-based data platform architecture. Collaborates with engineering, analytics, product management, SRE, and other stakeholders to deliver high-quality data solutions. The summary above was generated by AI Become a part of our caring community 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. Exceptional outcomes begin with exceptional talent. They begin with you. 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. Exceptional outcomes begin with exceptional talent. They begin with you. 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. Responsibilities Include * 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, To ensure Home or Hybrid Home/Office employees' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested Satellite, cellular and microwave connection can be used only if approved by leadership. Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense. Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information. Interview Format As part of our hiring process for this opportunity, we will be using an interviewing technology called HireVue to enhance our hiring and decision-making ability. HireVue allows us to quickly connect and gain valuable information from you pertaining to your relevant skills and experience at a time that is best for your schedule. SSN Alert Statement Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from [email protected] with instructions on how to add the information into your official application on Humana's secure website. Work at Home Requirements: To ensure Home or Hybrid Home/Office employees' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. In certain roles, the minimum recommended internet speed required by Humana may not be sufficient for business needs. Humana reserves the right to require associates to upgrade their internet service if necessary. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information. Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. Scheduled Weekly Hours 40, Lead data modeling and ownership of critical pipelines supporting Block's product data foundation. Build reliable, governed, and monitored datasets, data quality and lineage systems, experimentation infrastructure, and AI-assisted automation. Partner with product and engineering teams to translate business needs into end-to-end data solutions, participate in on-call support, and maintain pipeline SLAs., Build and optimize data models, pipelines, monitoring, lineage, and data quality systems supporting Block's product data foundation. Own critical data engineering solutions across their full lifecycle, ensure pipeline reliability through on-call support, and translate business and product needs into automated data solutions. Develop AI-assisted workflows and agents for data quality, issue resolution, and operational efficiency while partnering with engineering, product, data science, and machine learning teams. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)