Overview
Hybrid
$30 - $40
Full Time
Skills
Data Analysis
Big Data
Databricks
PL/SQL
Microsoft Azure
SQL
ELT
Data Engineering
Cloud Computing
Apache Spark
Kubernetes
Performance Tuning
Debugging
Data Warehouse
Scala
Snow Flake Schema
Job Details
Role Description
This is a contract role for a Senior Data Engineer, based in Dallas, TX, with a hybrid work arrangement allowing some remote work. The Senior Data Engineer will design, develop, and maintain scalable data pipelines, execute Extract, Transform, Load (ETL) processes, and build and optimize data models and data warehousing solutions. Additional responsibilities include performing data analytics to derive actionable insights and collaborating with cross-functional teams to ensure data accuracy and integrity.
Qualifications
- Expertise in Data Engineering and Data Modeling
- Proficiency in Extract Transform Load (ETL) processes and Data Warehousing
- Strong skills in Data Analytics to derive meaningful insights
- Excellent problem-solving and analytical skills
- Ability to work independently in a hybrid work setting
- Experience with big data technologies and tools is a plus
- Bachelor's or master's degree in computer science, Data Science, or related field
- Expertise in Apache Spark (Core & SQL) and Databricks.
- Strong programming skills in Scala, with additional experience in .NET/C# preferred.
- Advanced SQL development skills, including stored procedures, PL/SQL blocks, and performance tuning.
- Solid understanding of data modeling, ETL/ELT, and big data processing.
- Hands-on experience with Snowflake or other cloud data warehouses.
- Experience deploying data solutions on Azure Cloud and using Azure Data Services.
- Familiarity with CI/CD tools, Kubernetes, and cloud-native application deployment.
- Strong problem-solving and debugging abilities across multiple platforms.
Excellent communication skills with the ability to explain technical solutions to both technical and non-technical stakeholders.
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.