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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Manager Data Engineer (Databricks, Pyspark, Snowflake) - **Company:** Capital One Financial Corporation - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $209,000.0 - $238,500.0 - **Contract:** Internship / Graduate position - **Skills:** Java (Programming Language), Agile Methodology, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Software Quality, Computer Programming, Data Architecture, Information Engineering, Data Systems, Data Warehousing, Software Design Patterns, Distributed Data Store, Amazon DynamoDB, Python (Programming Language), Machine Learning, MongoDB, NoSQL, DataOps, Scala (Programming Language), Software Engineering, SQL Databases, Data Streaming, Google Cloud, Snowflake, Apache Spark, Pyspark, Information Technology, Cassandra, Non-relational Database, Data Management, Splunk, Data Pipelines, Databricks, Microservices - **Published:** September 26, 2026 - **Apply:** https://www.capitalonecareers.com/job/chicago/senior-manager-data-engineer-databricks-pyspark-snowflake/1732/101126479744 ## About the Role * Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) * At least 6 years of experience in application development (Internship experience does not apply) * At least 3 years of people management experience * At least 2 years of experience driving technical delivery of roadmap features * At least 4 years of experience programming with at least one of the following languages: Python, Java, or Scala * At least 4 years of experience designing and developing data pipelines * At least 2 years of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems, * Master's Degree in Computer Science or a related field * 9+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java * 5+ years of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud) * 5+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks * 5+ years of experience designing, implementing, and operating real-time or streaming data pipelines * 3+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster) * 5+ years of experience working with unstructured or semistructured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB) * 5+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift) * 3+ years of experience working in an Agile development environment * 3+ years of experience developing user-centric reusable data products Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $209,000 - $238,500 for Sr. Manager, Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. ## Description * Lead high-performing Agile teams in designing, developing, testing, and supporting scalable data engineering solutions across full-stack and cloud platforms * Influence a team of developers, data analysts and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems * Maintain hands-on technical engagement by reviewing architecture designs, data models and pipeline code across Python, Spark, Databricks, and Snowflake environments * Share your passion for staying on top of trends in data, experimenting with and learning new technologies, participating in internal and external technology communities, and mentoring other members of the data community * Collaborate with product managers and software engineers to deliver robust cloud-first data solutions that drive powerful experiences to help millions of Americans achieve financial empowerment * Architect and enforce common data engineering design patterns to ensure code quality, maintainability, and reusability across data platforms and pipelines * Serve as an ambassador for the data engineering team, communicating technical concepts and data outcomes clearly to both internal and external stakeholders to drive alignment and shared understanding * Oversee the design and health of data platforms and pipelines, establishing standards for scalability, resilience, data quality and operational efficiency * Lead, mentor, and grow a diverse team of data engineers, acting as a force-multiplier to elevate talent density, foster technical career development, and drive engineering best practices * Lead and execute large-scale, transformative data initiatives from end to end, independently driving critical architectural decisions and evaluating platform choices, such as Snowflake versus Databricks, based on technical and business requirements ## Related Videos - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [Recruitment Reinvented: Bold strategies and the $10K signing incentive](https://www.wearedevelopers.com/videos/1068-recruitment-reinvented-bold-strategies-and-the-10k-signing-incentive) - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [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) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) ## Related Articles - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How Much Does a Software Engineer Make? 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