Data Engineer

Cuesta Partners is looking for a Data Engineer with an interest in consulting, to work with our broad base of clients on various engagements, delivering data environments quickly using modern technologies and best practices.

As a member of our data practice, you will have the unique opportunity to shape and build various green field areas, making a lasting impact on our clients’ data landscape. Collaborating closely with leadership, you will play a key role in ingesting data for strategic business domains that can benefit from analytical insights. Your mission will be to deliver end-to-end data solutions, leveraging your expertise to unlock valuable insights and drive actionable decisions. As the driving force behind the acquisition and transformation of data sets, your contribution will be key to unlocking analytics insights from our client’s data.

You will ensure the data pipelines are scalable, secure, and cater to the needs of multiple business units. Your expertise in developing and optimizing data pipelines will be instrumental in driving our data-driven initiatives forward. This role ensures that development follows standards, specifications, controls, audits, and procedures to ensure data integrity, quality, accuracy, usefulness, and timeliness. While the role is remote, occasional though infrequent travel to the United States may be required for some critical sessions.

What We're Looking For

• 3- 5 years of relevant experience as a Data Engineering Professional

• Significant development and querying experience in SQL

• Experience with modern data platforms such as Databricks, Snowflake, and Microsoft Fabric is a plus.

• Experience with ETL tools such as Keboola, FiveTran, Matillion, DBT, SSIS, Alteryx, etc

• Experience with data warehouse technologies such as BigQuery, AWS Aurora/Redshift, or Oracle

• Expertise in relational databases, database structures and design, systems design, data management, and data warehouse; advanced programming skills

• Proficiency in data processing and scripting languages such as Python or R

• Expertise in data modeling, including knowledge of various data structures and their advantages and disadvantages in certain use cases

• Capability to think critically and solve problems

• Outstanding communication and interpersonal abilities

• A bachelor's degree in computer science, software engineering, or computer & information science is necessary