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West Monroe

Digital consulting for business transformation

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • 1–4 years of hands-on professional development experience.
  • Experience writing complex SQL queries related to data manipulation strategies.
  • Experience with Spark, Databricks, Kafka, Kinesis, Hadoop, and/or Lambda.
  • Exposure to ETL tools such as Azure Data Factory, AWS Glue, Informatica, Talend, or IBM DataStage, and/or database platforms such as Snowflake, Redshift, Azure Synapse, or Oracle.
  • Exposure to data visualization tools such as Tableau, Power BI, or Looker.
  • Experience in technical testing, issue identification, and resolution.
  • Ability to travel 30–50% to client sites.

Responsibilities

  • Support projects using an agile delivery model through requirements gathering and documentation, data ingestion pipeline development, and technical testing.
  • Add configurations for data enrichments such as lookups, type conversions, calculations, and concatenations.
  • Add data quality rules.
  • Connect to new data sources.
  • Map multiple sources into a single output.
  • Interpret error messages to troubleshoot data pipelines.
  • Create outputs that facilitate reporting, dashboarding, and semantic modeling for tools such as Tableau and Power BI.
  • Test data pipelines to ensure accuracy.
  • Work closely with clients as part of the development team to gather technical requirements and develop solutions.
  • Coordinate activities with data source application owners to understand the underlying data and ensure integration and data integrity.
  • Build relationships with clients through written and verbal communication.

About the Company

West Monroe

Digital consulting for business transformation

West Monroe provides digital consulting services that help organizations modernize operations by blending business acumen with technology expertise. Its teams work with clients across industries to develop and execute digital strategies, product engineering, cybersecurity, data analytics, and transformation programs. The firm differentiates itself by combining sector knowledge with technical delivery capabilities and by expanding digital product engineering through acquisitions like Verys. Its goal is to help mid-sized and large enterprises navigate digital change, improve efficiency, and realize measurable value from technology-enabled transformation.

Company size
1,001-5,000
Company stage
Seed
Total funding
Not listed
Headquarters
Seattle, WA
Founded
2002

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