Data Engineer 5, Insights Platform Mid

D8 LooP

Plano (TX)

On-site

USD 120,000 - 150,000

Full time

10 days ago

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Job summary

D8 LooP in Plano, TX is seeking a Data Engineer 5 to design and operate modern data platforms. You will build end-to-end data solutions leveraging relational and non-relational stores, and implement robust data pipelines with orchestration and observability in a cloud-first environment.

The role emphasizes large-scale data warehousing, streaming capabilities, and governance as part of a scalable Insights Platform.

Qualifications

  • Data modeling and designing end-to-end data solutions using relational and non-relational databases.
  • 4+ years of programming in Python/ Java/ Scala demonstrated.
  • 5+ years designing and supporting data warehousing (Snowflake/ Redshift).
  • 3+ years of data observability or data orchestration tools (Airflow, Dagster).
  • 5+ years hands-on experience in cloud environments (AWS/Azure/GCP).

Skills

Python
SQL
Spark
Warehousing
Airflow
AWS
Java
Scala
Streaming data
GCP
Governance & security

Job description

Data Engineer 5, Insights Platform 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?

Plano, TX Mid Relocation / visa support in the posting 6+ yrs Data Engineer

Skills, with evidence

At least 2 years 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 4 years of experience programming with at least one of the following languages: Python, Java, or Scala must have
  • SQL At least 4 years of experience with SQL must have
  • Spark 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) must have
  • Warehousing 5+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift) must have
  • Airflow / orchestration 3+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
  • AWS 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) not practised here
  • Java At least 4 years of experience programming with at least one of the following languages: Python, Java, or Scala not practised here
  • Scala At least 4 years of experience programming with at least one of the following languages: Python, Java, or Scala not practised here
  • 3+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
  • Streaming 5+ years of experience designing, implementing, and operating real-time or streaming data pipelines
  • 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) not practised here
  • GCP 5+ years of hands-off 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 Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. not practised here
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