Senior Data Engineer

Hybrid in Cleveland, OH, US • Posted 2 hours ago • Updated 2 hours ago

Contract W2

On-site

Depends on Experience

Fitment

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Job Details

Skills

Amazon Kinesis
Amazon Redshift
Apache Airflow
Apache Kafka
Apache Parquet
Apache Spark
ELT
Data Warehouse
Data Quality
Python
PySpark
RDBMS
NoSQL
Extract
Transform
Load

Summary

Senior-level role requiring 8 10 years of experience in designing and building enterprise-scale data engineering solutions.
Develop and maintain high-throughput batch and real-time data pipelines using Python, PySpark, Spark Structured Streaming, and SQL.
Design and implement dimensional and normalized data models, schemas, and ELT/ETL frameworks across cloud and on-prem platforms.
Build ingestion frameworks from REST APIs, RDBMS, NoSQL, and event streams using Kafka, Kinesis, or Pub/Sub.
Implement workflow orchestration using Apache Airflow, dbt, Dagster, or Prefect with CI/CD pipelines.
Develop transformations using Spark SQL, dbt models, and UDFs for large-scale datasets.
Manage cloud data warehouses and lakes using Snowflake, BigQuery, Redshift, Delta Lake, and Parquet formats.
Implement data quality checks using Great Expectations, custom validation frameworks, and monitoring tools.
Build secure data platforms with IAM, RBAC, encryption, and audit logging.
Provide L3 production support, performance tuning, and cost optimization.

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: 90868495
Position Id: 8867143
Posted 2 hours ago

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Senior Data Engineer

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Job Details

Skills

Summary

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