Data Engineer (BI-focused)

Our client is looking to hire a Data Engineer (BI-focused)

THIS IS A REMOTE ROLE.

Project duration: 12+ months

I have listed below a detailed job description for your review.

If you have the required experience and interest, please email me a current resume, along with your responses to the following questions:

*** How much experience in years do you have as a Data Engineer?

*** How much experience in years do you have with Tableau?

*** How much experience in years do you have with Google Cloud Platform (Google Cloud Platform)?

*** How much experience in years do you have with SQL?

*** How much experience in years do you have with Relational Databases?

*** How much experience in years do you have with AWS?

*** How much experience in years do you have with BigQuery?

*** How much experience in years do you have with Snowflake?

*** How much experience in years do you have with Python?

*** What is your desired hourly rate?

*** Where do you currently reside (city, state)?

*** What is your availability to start a new project?

Thank you!

Steven Edelman

Pivotal Solutions, Inc.

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Our client is seeking a Mid-Senior Full-Stack Data Engineer (BI-focused) to join our lean Data and Intelligence team and help build a cloud-based data platform that serves as a single source of truth for business operations.

In this role, you ll have end-to-end ownership of the data lifecycle from ingestion and transformation to modeling and visualization helping unify data across systems and deliver reliable, timely insights that drive business decisions.

Key Responsibilitie

Design, build, and maintain scalable, secure, and high-quality ELT data pipelines

• Implement data validation and quality assurance processes to ensure data integrity
• Perform exploratory data analysis and leverage built-in ML tools (e.g., BigQuery ML, Vertex AI) for forecasting and anomaly detection
• Develop and maintain BI dashboards and reporting solutions to support data-driven decision-making
• Collaborate with cross-functional teams to deliver impactful, data-driven solutions

Technical Qualifications

Education:

• Bachelor s degree in Computer Science, Engineering, or a related quantitative field

Experience:

5+ years in data engineering

• 5+ years working with relational databases and SQL
• 3+ years working with cloud-based data platforms (Google Cloud Platform preferred)

Core Technologies:

• Cloud:Google Cloud Platform; AWS (nice to have)
• Data Warehousing:BigQuery (primary); SQL Server, Snowflake
• Databases:MSSQL, MySQL
• Programming:Python, SQL
• BI Tools:Tableau (required); Looker or Power BI (nice to have)
• Other:Airflow, dbt, real-time data streaming, ELT tools (e.g., Fivetran, Airbyte, Stitch), GitHub, CI/CD pipelines, APIs

Core Competencies

• Problem-solving: Strong analytical, debugging, and research skills to resolve process issues or data inconsistencies

• Ownership: End-to-end ownership of data initiatives
• Collaboration: Ability to work effectively with both technical and non-technical stakeholders
• Accountability: Commitment to delivering accurate, reliable, and timely data products
• Team velocity: Focus on improving development efficiency and accelerating deployment of data models