Data Engineer 4 Mid

D8 LooP; Plano (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

Capital One in Plano, TX is seeking a Mid 4+ years Data Engineer to design, build, and operate data solutions. You will work with Python, SQL, Spark, and cloud platforms to deliver scalable data pipelines.

The role emphasizes data quality, observability, and security, with hands-on experience in Snowflake/Redshift and orchestration tools like Airflow or Dagster.

Qualifications

• Experience in data modeling and designing end-to-end data solutions.
• Proficiency with Python and SQL.
• Hands-on cloud experience (AWS, Azure, or GCP).
• Experience with data warehousing (Snowflake, Redshift).
• Proficient with data orchestration/tools (Airflow, Dagster).
• Familiar with data observability tools (Monte Carlo, Splunk).
• Knowledge of data governance and security practices.
• 4+ years of data engineering experience in large-scale environments.

Skills

Python

SQL

Spark

Streaming

Data Observability

Data Governance

Cloud Networking

Data Security

Tools

Airflow

Dagster

Monte Carlo

Splunk

Snowflake

Redshift

AWS

Azure

GCP

Job description

Capital One · capitalone.wd12.myworkdayjobs.com · checked today

Plano, TX Mid 4+ yrs Data Engineer posted 8 d ago

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs.

Skills, with evidence

At least 1 year of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems must have

• Python At least 2 years of experience with one programming language (Python, Java, or Scala) must have
• SQL At least 2 years of experience with SQL must have
• Spark 4+ years of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud) must have
• Warehousing 4+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift) must have
• Airflow / orchestration 2+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
• AWS 4+ years of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud) not practised here
• Governance & security Implement data security standards, including encryption at rest/transit and fine-grained access control, ensuring compliance with data privacy regulations not practised here
• Java At least 2 years of experience with one programming language (Python, Java, or Scala) not practised here
• Scala At least 2 years of experience with one programming language (Python, Java, or Scala) not practised here
• 2+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
• Streaming 4+ years of experience designing, implementing, and operating real-time or streaming data pipelines
• 4+ years of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud) not practised here
• GCP 4+ years of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud) not practised here