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SparqSP

Sr. Data Engineer (Snowflake/dbt)

Sparq is a leading U. S. -based digital engineering consultancy that specializes in building, deploying, and supporting innovative digital applications.

Sparq

Employee count: 501-1000

Costa Rica only

Team Sparq is committed to creating high-quality tech careers while helping clients accelerate their digital transformation journey. We are committed to being an inclusive workplace, maintaining a culture of equitable, diverse employment and advancement company-wide.

Why You’ll Love This Role:

  • Work with cutting-edge cloud data technologies in a dynamic, collaborative environment
  • Tackle enterprise-scale data challenges, working with billions of rows of data
  • Opportunities for career growth and skill development through mentorship and certification programs
  • Fully remote work flexibility

About the Role:

We are seeking a Senior Data Engineer with expertise in Snowflake and dbt, with a strong focus on scalability and optimization. The ideal candidate has experience working with massive datasets at the enterprise level and can fine-tune and optimize Snowflake environments to enhance performance, cost efficiency, and best practices.

Responsibilities:

  • Design and build scalable data pipelines in Snowflake and dbt, ensuring they can handle billions of rows of data efficiently
  • Optimize Snowflake storage, compute performance, and query execution to improve processing speed and cost efficiency
  • Lead efforts in migrating and refining legacy data processes in Snowflake using dbt, ensuring optimized transformations and modeling
  • Collaborate with business and data teams to understand requirements and translate them into high-performance data solutions
  • Implement best practices for Snowflake optimization, including clustering, partitioning, indexing, materialized views, and workload management
  • Troubleshoot and resolve bottlenecks in existing Snowflake-based ETL/ELT workflows
  • Provide technical leadership and mentorship, ensuring the team follows best practices for scalable data engineering
  • Create and maintain technical documentation, including architecture diagrams and optimization guidelines

What You Bring:

  • 3+ years of experience in data engineering, with a focus on cloud-based enterprise-scale data solutions
  • Proven experience working with massive datasets (billions of rows) in Snowflake
  • Hands-on expertise in Snowflake performance tuning, storage optimization, and cost management
  • Deep experience with dbt for data transformation, testing, and workflow orchestration
  • Strong proficiency in SQL and Python for data manipulation, automation, and optimization
  • Ability to identify, diagnose, and optimize inefficient queries and processing workflows
  • Experience working both with and without an architect to optimize Snowflake performance
  • Strong understanding of data governance, security best practices, and role-based access control in Snowflake
  • Excellent problem-solving and communication skills, with the ability to collaborate across teams

Bonus Points for:

  • Experience with orchestration tools like Airflow or Prefect
  • Exposure to AWS, GCP, or Azure for cloud data integration
  • Familiarity with streaming data pipelines (Kafka, Kinesis, etc.)

Equal Employment Opportunity Policy: Sparq is proud to offer equal employment opportunity without regard to age, color, disability, gender, gender identity, genetic information, marital status, military status, national origin, race, religion, sexual orientation, veteran status, or any other legally protected characteristic.

C2C is not available

About the job

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Job type

Full Time

Experience level

Senior

Location requirements

Hiring timezones

Costa Rica +/- 0 hours

About Sparq

Learn more about Sparq and their company culture.

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Sparq is a leading U.S.-based digital engineering consultancy that specializes in building, deploying, and supporting innovative digital applications. Founded in 2009, Sparq aims to deliver on the promise of technology through trusted software engineering teams that solve complex challenges with creativity and rigor. With a mission to create powerful outcomes, Sparq leverages agile methodologies and a Scrum-as-a-Service® approach to ensure rapid delivery and adaptability to changing project needs. This methodology enables them to have multidisciplinary teams that can work collaboratively for driving client success.

The company has extensive experience across various sectors, including healthcare, financial services, transportation, and technology. They focus on emerging technologies, including AI, data analytics, and modernized cloud architectures, to help their clients stay ahead in today's fast-paced digital landscape. Sparq recognizes the critical need for businesses to achieve digital transformation and offers scalable solutions designed to enhance operational efficiency and customer engagement. Furthermore, Sparq promotes a culture of diversity, equity, and inclusion among its teams, ensuring that innovative ideas and varying perspectives contribute to the overall success of its client projects.

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Sparq

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Sparq hiring Sr. Data Engineer (Snowflake/dbt) • Remote (Work from Home) | Himalayas