TELECOMMUTE Data Engineer (BI-focused)

Pivotal Solutions Inc

United States

7 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Airflow Amazon Web Services Data Analysis BigQuery Cloud Computing Databases Continuous Integration Data Validation Information Engineering Data Integrity

+22 more

Extract Transform Load (ETL) Data Warehousing Relational Databases Software Debugging Github Python (Programming Language) Microsoft SQL Server MySQL Power BI Standard Sql SQL Databases Tableau (Software) Google Cloud Cloud Platform System Snowflake Information Technology Data Analytics Machine Learning Operations Stream Processing Data Inconsistencies Looker Analytics Data Pipelines

Job description

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

Requirements

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