Data Engineer

Hybrid in Louisville, KY, US • Posted 9 hours ago • Updated 9 hours ago
Full Time
No Travel Required
Hybrid
$110,000 - $120,000/yr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Amazon Web Services
  • Cloud Computing
  • Collaboration
  • Continuous Integration
  • Data Architecture
  • Data Engineering
  • Data Governance
  • Data Modeling
  • Data Security
  • Databricks
  • Amazon Redshift
  • Docker
  • Encryption
  • Kubernetes
  • Prototyping
  • Python
  • Extract
  • Transform
  • Load
  • Optimization
  • Snow Flake Schema
  • SQL
  • Apache Spark
  • ELT
  • Systems Design

Summary

Data Architect:

Locals only who are in the drivable area of Cincinnati although this is primarily a remote job for Louisville KY

Key Responsibilities

  • Lead end-to-end data solution architecture (data flows, models, and system design).
  • Define data platform patterns (batch vs streaming, ingestion, storage, processing).
  • Build prototypes and guide teams in developing scalable data pipelines and models.
  • Optimize data performance, partitioning, and query efficiency.
  • Collaborate with business and engineering teams to translate requirements into solutions.
  • Ensure security, governance, and compliance (IAM, encryption, data quality).
  • Establish standards, CI/CD practices, and reusable frameworks.
  • Drive observability, monitoring, and cost optimization for data platforms.

Must-Have Skills & Experience

  • 6+ years in Data Engineering / Data Architecture.
  • Strong expertise in data modeling (Dimensional, Data Vault, schema design).
  • Hands-on experience with modern data stack:
    • Cloud DW: Snowflake / Redshift / BigQuery
    • Processing: Spark / Databricks / PySpark
    • Streaming: Kafka / Kinesis
  • Strong programming in Python (or Scala) + advanced SQL.
  • Experience building enterprise-scale data pipelines.
  • Hands-on with ETL/ELT, orchestration tools (Airflow, dbt, etc.).
  • Experience with cloud platforms (AWS preferred).
  • Knowledge of IAM, encryption, and data security best practices.
  • Strong stakeholder communication & architecture decision-making skills.

Nice to Have

  • Experience with Terraform, Kubernetes, Docker.
  • Familiarity with data governance tools (lineage, cataloging, data quality).
  • Certifications (AWS Architect, Databricks, Snowflake, CDMP).
  • Exposure to observability tools (Datadog, Prometheus).

Success Metrics

  • Faster delivery of data products to production
  • Improved data quality & reliability
  • High system uptime and performance
  • Adoption of standardized architecture patterns
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10112669
  • Position Id: PCS222
  • Posted 9 hours ago
Contact the job poster
MK

Mukul Kumar

Recruiter @ Progressive Computer Solutions
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