Overview
Remote
$95,000 - $115,000
Full Time
No Travel Required
Skills
MS Fabric
Power BI
Databricks
azure
Data Engineering
Job Details
Title: Data Engineer.
This is a W-2 Full-time, fully benefited opportunity. The client is in Grand Rapids and ideally would like someone who can come to the office when needed.
About this position:
Our client is looking for a Senior Data Engineer who will be responsible for designing, building, and maintaining data models and pipelines that support our business needs and enable self-service analytics. This role requires a deep understanding of data engineering principles and best practices, as well as the ability to work with various technologies and tools.
What you ll do:
- Design, build, maintain, and optimize data models aligned to business needs, providing harmonized models ready for consumption. Support data integration, data migration, and data modeling.
- Extract, transform, and load data from various sources. Monitor and troubleshoot data pipelines to ensure optimal performance.
- Collaborate with cross-functional teams to understand Business requirements and translate them into technical solutions.
- Ensure data quality and consistency across all data models and pipelines.
- Assist in preparing data models for self-service analytics.
What You ll Bring:
- 5+ years of experience in data engineering and working with data pipelines.
- Bachelor's degree in computer science, information technology, or a related field.
- Relevant certifications in data engineering or cloud platforms are preferred.
- Proven experience in data engineering and working with data pipelines and proficiency in ETL & ELT Processes.
- Experience with data orchestration tools such as Fabric Data Factory, FiveTran, Airflow or AWS Glue.
- Familiarity with data governance and cataloging tools like Purview, Atlan, Alation, Collibra, Informatica, or Precisely Data Integrity Suite.
- Strong knowledge of data modeling techniques such as Kimball, Medallion, Inmon, Star Schema or Snowflake Schema.
- Knowledge of programming languages such as Python and SQL
- Understanding data Lake / Lakehouse technologies such as OneLake, DataBricks, Snowflake, BigQuery, and Redshift.
We Offer:
- Weekly Pay
- Comprehensive Health & Wellness package including Medical (with prescription coverage), Dental, and vision
- Matching Health Savings Account Contributions, Dependent Care flexible spending account (FSA)
- Retirement options like 401 (k) with company match and pension.
- Paid time off: Vacation, Personal days, paid holidays, paid volunteer time, sick days, & flex time.
- Tuition reimbursement
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.