Senior Data Engineer

Join Stack Builders, a renowned international software consultancy, where we harness the power of technology to deliver innovative, scalable, and maintainable solutions. As a trusted partner to top technology companies worldwide, we empower them to overcome complex challenges through clean code, cutting-edge technologies, and best practices in software design.

We are seeking a highly skilled Senior Data Engineer to join our diverse, remote-first team of experts. As a key player in our team, you will design, develop, and maintain robust data platforms that drive critical insights and informed decision-making. Collaborating closely with data scientists, analysts, and engineers, you will evolve and support our Business Intelligence and Science Data Warehouses, ensuring solutions that meet current needs and scale for the future.

Our culture thrives on curiosity, continuous learning, open communication, and collaboration. If you are passionate about working with a team that values clean architecture, sustainable development, and software that makes a difference, we invite you to apply.

Important: To be considered for this opportunity, please submit your application in English.

Requirements:

• Eligibility to work as an independent contractor from any location within the Americas region, with overlap with Eastern Standard Time (EST).
• For US applicants: ability to work as an independent contractor under an LLC, C-Corp, or S-Corp.
• Bachelor's degree in a relevant field or equivalent professional experience.
• Excellent communication skills, with the ability to gather requirements and explain technical decisions clearly.
• Demonstrated ownership mindset: ability to take initiative and see tasks through to completion with minimal oversight.
• 3-5 years of experience in data engineering, with deep hands-on experience in DBT.
• Proficiency or experience with relevant tools and technologies:
  • Must-have: DBT, Python, SQL (Redshift/Postgres), Git.
  • Used in current stack: Fivetran, AWS Glue, Tableau, Metabase.
• Comfort with debugging data pipelines, maintaining legacy systems, and working with systems developed by previous teams.

Key Responsibilities:

• Maintain and improve existing data and business analytics systems using DBT, Fivetran, and Tableau.
• Model a large marketing dataset using DBT.
• Troubleshoot and fix data pipeline issues, responding to alerts generated by Fivetran, CloudWatch, and other monitoring systems.
• Collaborate closely with the engineer team and a data scientist, with occasional requests from Marketing and Finance teams.
• Ensure clarity and accuracy in reports and dashboards used by business stakeholders.
• Follow clean coding and refactoring practices, documentation standards, and strive for production-readiness in all outputs.

The projected salary range for this position is from $45 to $55/hr, determined by the candidate’s interview outcome, skills, experience, education, and alignment with market data.

Benefits:

• Fully remote work modality, offering flexibility and work-life balance.
• Challenging, exciting, and ongoing projects with some of the most admired companies worldwide.
• A strong learning culture with exceptionally talented and passionate coworkers.
• Timely payments, with the flexibility to choose the payment date modality that best suits your needs.
• Company-sponsored conferences, OSS contributions, and blog posts.
• A Stack Builders community to support you and learn with you!

At Stack Builders, we are committed to creating a safe and inclusive work environment and do not tolerate discrimination or harassment during the hiring process or time of employment. We assess and appreciate all team members and candidates based on their attitude, qualifications, and potential, regardless of race, religion, color, nationality, sexual orientation, gender expression or identity, age, disability, marital status, pregnancy, and other characteristics protected by law.

At Stack Builders, we push the boundaries of the software industry. As consultants, we use functional programming, especially Haskell, to build amazing products.