Data Engineer

Dallas, TX, US • Posted 30+ days ago • Updated 8 days ago
Full Time
On-site
$DOE
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Computer Science
  • Information Systems
  • Orchestration
  • SQL
  • Python
  • Programming Languages
  • ELT
  • Extract
  • Transform
  • Load
  • Apache Airflow
  • Workflow Management
  • Real-time
  • Data Processing
  • Apache Spark
  • Apache Flink
  • Data Warehouse
  • NoSQL
  • MongoDB
  • Apache Cassandra
  • Redis
  • Amazon DynamoDB
  • Streaming
  • Apache Kafka
  • Amazon Kinesis
  • Data Integration
  • Data Quality
  • Data Governance
  • Data Engineering
  • Problem Solving
  • Conflict Resolution
  • Scalability
  • Communication
  • Teamwork
  • Collaboration
  • Marketing
  • Snow Flake Schema
  • Microsoft Azure
  • Cloud Computing
  • Big Data

Summary

Job Title: Data Engineer

Location: Dallas, TX OR Bothell, Atlanta, GA (Onsite)

Duration: 12+ Months

Job Description:

Must Have Skills (TOP 3 SKILLS)

AJO, AEP, Snowflake

In person interview is Must.

Detailed Job Description

  • Bachelor's or master's degree in computer science, Information Systems, or related field
    Hands-on experience with Snowflake cloud data platform, including data ingestion, transformation, and orchestration.
  • Strong background in building and maintaining data warehouse solutions on Snowflake.
  • Proficiency in SQL, Python, or other programming languages for data processing and automation
  • Experience with ETL/ELT tools, data pipeline development, and Apache Airflow workflow management Proficiency in real-time data processing (Spark Streaming, Flink, Kafka Streams).
  • Experience with cloud data warehouses, Snowflake, and data lakes (Delta Lake, Iceberg)
  • Familiarity with NoSQL (MongoDB, Cassandra) and key-value stores (Redis, DynamoDB) is highly desirable.
  • Experience with batch & streaming pipelines (Kafka, Kinesis, Pub/Sub).
  • Experience with Azure cloud platforms, Azure Event Hubs and their integration with Snowflake
  • Understanding of marketing technologies, customer data platforms, and data integration challenges
  • Knowledge of data quality, data governance, and security practices in data engineering
  • Strong problem-solving skills and ability to optimize data processes for performance and scalability
  • Good communication and teamwork skills to collaborate with data architects, analysts, and marketing teams
  • Relevant certifications (e.g., Snowflake, Azure Cloud, and Big Data) are a plus
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: 10477050
  • Position Id: 2026-54465
  • Posted 30+ days ago
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