Senior Data Engineer (Contract, Nearshore)

Gobankingrates; A distancia; MXN 1,790,000 - 2,149,000; Jornada completa

Descripción de la vacante

A personal finance platform in Xico, Mexico, is seeking a Data Engineer to build data pipelines and lead architectural design for a modern data stack. Candidates should have a Master’s in Computer Science, with over 6 years in Data Warehousing and Engineering. The role offers the flexibility of working 100% remotely, a competitive salary range of $100,000 - $120,000, and excellent benefits including healthcare and student loan contributions. If you excel in problem-solving and teamwork, we encourage you to apply.

Servicios

100% Remote

Competitive salary with excellent growth opportunity

Medical, dental, and vision plans

Paid maternity and paternity leave

Paid vacation, sick days, and holidays

Company funding for classes and conferences

401(k) with employer matching

Formación

• 6+ years of professional Dimensional Data Warehousing / Data Modeling and 'Big Data' experience.
• Expertise in establishing data quality assurance frameworks.
• Experience with AWS infrastructure.

Responsabilidades

• Build sophisticated data pipelines using dbt, Airflow, and Snowflake.
• Lead architectural design sessions for the modern data stack.
• Work with teams to prototype new data product ideas.

Conocimientos

Data modeling

Problem-solving

Communication

Teamwork

Agile methodology

Educación

Master's Degree in Computer Science

B.S. degree with relevant experience

Herramientas

Snowflake

dbt

Airflow

AWS data services

Great Expectations

Descripción del empleo

Launched by Jeff Bartlett and Brett Rossmann in , GOBankingRates (formerly ConsumerTrack) connects people with products and services that help them to lead a richer life.

We are a multi-media content platform covering all aspects of your personal finance journey.

Our curated editorial content, videos and podcasts utilize expert insight to teach readers the six key principles of financial literacy: how to earn, save, invest, spend, borrow and protect money.

We strive to give readers the confidence they need to feel empowered about making smart financial decisions today, tomorrow and into the future.

Your rich life starts with GOBankingRates.

Let us guide you there!

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 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.

Benefits

• 100% Remote
• Competitive salary with excellent growth opportunity; we pride ourselves in having a team that exudes leadership, high initiative, creativity and passion.
• Awesome medical, dental and vision plans with heavy employer contribution
• Paid maternity leave and paternity leave programs
• Paid vacation, sick days and holidays
• Company funding for outside classes and conferences to help you improve your skills
• Contribution to student loan debt payments after the first year of employment 401(k)
• Employees can start contributing immediately.
• After the first year, GOBankingRates matches your contribution up to 4% of your salary

We are an equal-opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.