Senior Data Engineer - Dallas, TX

Posted 9 Hours Ago
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Hiring Remotely in United States
Remote
38K-134K Annually
Senior level
Agency • Information Technology
The Role
Design, build, and maintain scalable ETL/ELT pipelines into Snowflake, enforce data quality, optimize data models and query performance for Power BI reporting, produce documentation, and troubleshoot data issues while collaborating with stakeholders.
Summary Generated by Built In

**Job Description: **  
We are seeking a highly motivated and experienced Data Engineer to play a key role in the design, development, and implementation of our next-generation data platform on Snowflake. You will be instrumental in building robust and scalable data pipelines, ensuring data quality, and enabling seamless data access for our Power BI reporting environment.

Responsibilities:

  • Design, develop, and maintain scalable and efficient ETL/ELT pipelines to ingest, transform, and load data into Snowflake from various source systems.
  • Work closely with data analysts, business users, and other stakeholders to understand data requirements and translate them into technical solutions.   
  • Implement and enforce data quality standards and processes to ensure accurate and reliable data within the Snowflake environment.
  • Optimize data models and query performance within Snowflake for efficient reporting and analysis.
  • Develop and maintain data documentation, including data dictionaries and data flow diagrams.
  • Contribute to the development of self-service data capabilities for business users.
  • Stay up-to-date with the latest advancements in data engineering technologies and best practices, particularly within the Snowflake and cloud ecosystems.
  • Troubleshoot and resolve data-related issues in a timely and efficient manner.

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 10+ years of experience in data engineering or a similar role.
  • Strong proficiency in SQL and experience working with relational databases (e.g., Oracle).
  • Hands-on experience with cloud-based data warehousing platforms, Snowflake being highly preferred.
  • Experience designing and implementing ETL/ELT processes using various tools and technologies.
  • Experience with data quality frameworks and tools.
  • Understanding of cloud computing concepts and platforms (e.g., AWS, Azure, GCP).
  • Excellent problem-solving, analytical, and communication skills.
  • Ability to work independently and collaboratively within a team environment.   
  • Experience with agile development methodologies is a plus.
Compensation, Benefits and Duration

Minimum Compensation: USD 38,000
Maximum Compensation: USD 134,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

Skills Required

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 10+ years of experience in data engineering or similar role.
  • Strong proficiency in SQL.
  • Experience working with relational databases (e.g., Oracle).
  • Hands-on experience with Snowflake.
  • Experience designing and implementing ETL/ELT processes.
  • Experience with data quality frameworks and tools.
  • Understanding of cloud computing concepts and platforms (AWS, Azure, GCP).
  • Excellent problem-solving, analytical, and communication skills.
  • Ability to work independently and collaboratively within a team environment.
  • Experience with agile development methodologies.
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