Senior Data Engineer (Contract, Nearshore)

GOBankingRates is experiencing significant growth and is actively seeking an experienced Nearshore Senior Data Engineer with expertise in Cloud Platforms, Modern Data Architecture, and Data Engineering. As a Senior Data Engineer, you will play a vital role in our Data Engineering team, responsible for the development and maintenance of our Enterprise Data Platform, which encompasses a Serverless Data Lake, a Cloud Data Warehouse on AWS, and core data/application pipelines.

What’s Interesting About This Role?

If you are a rising star in the field of Data Engineering, ready to challenge norms, and brimming with innovative ideas for managing technology and processes, you will broaden your experience and confront diverse technical challenges to accelerate your career growth. With this experience, you will become integral in developing our next-generation data platform, emphasizing data quality, speed of execution, and cost optimization to make an impact on our business.

How Will You Make an Impact?

• Build sophisticated data pipelines using dbt, Airflow, and Snowflake, with special emphasis on performance optimization and data integrity using Great Expectations.

• Lead architectural design sessions for the modern data stack, focusing on solutions that seamlessly integrate with our technology stack, which encompasses Snowflake, Airflow, dbt, Great Expectations, and AWS data services.

• Work with our data science and product management teams to design, rapidly prototype, and productize new data product ideas and capabilities.

• Conquer complex problems by finding new ways to solve them with simple, efficient approaches with a focus on the reliability, scalability, quality, and cost of our platforms.

• Build processes supporting data transformation, data structure metadata, and workload management.

• Collaborate with the team to perform root cause analysis and audit internal and external data and processes to help answer specific business questions.

What Do You Bring to Us?

• Master’s Degree (or a B.S. degree with relevant industry experience) in Computer Science.

• 6+ years of professional Dimensional Data Warehousing/Data Modeling and ‘Big Data’ Experience.

• 6+ years in a pivotal Software/Data Engineering role, with deep exposure to modern data stacks, particularly Snowflake, Airflow, dbt, and AWS data services.

• Expertise in applying Python and SQL to execute complex data operations, customize ETL/ELT processes, and perform advanced data transformations across the platform.

• Expertise in establishing data quality assurance frameworks, particularly using Great Expectations.

• Experience working directly with data analytics to bridge business requirements with data engineering.

• Experience with AWS infrastructure.

• Excellent troubleshooting and problem-solving skills.

• Ability to operate in an agile, entrepreneurial start-up environment, and prioritize.

• Excellent communication and teamwork, and a passion for learning.

• Willingness to question the validity, accuracy of data and assumptions.

Preferred Qualifications:

• Experience with Redshift, Snowflake, or other MPP databases is a plus.
• Knowledge of ETL/ELT tools like Informatica, Matillion, IBM DataStage, or SaaS ETL tools is a plus.
• Experience with CI/CD using tools like CircleCI, and Harness is a plus.

The salary range for this role is $100,000 - $120,000 Pay offered may vary within the posted range based on a number of factors including but not limited to job-related knowledge, skills, experience, and location.