
Data Engineer
Valce Talent Solutions
data-engineering
etl-development
data-warehousing
big-data
cloud-data-engineering
sql
spark
databricks
Job details
- Company
- Valce Talent Solutions
- Location
- United States
- Remote
- Yes
- Field
- Data
- Source
- via Himalayas
Posted
April 20, 2026
Is the job expired?
About this role
We are seeking a talented Data Engineer to join our Data Engineering & Analytics team. In this role, you will collaborate with our clients to address their most complex needs, working alongside a team of highly skilled engineers and architects. You will also be involved in strategic enterprise data projects and large-scale implementations.
Responsibilities:
- Support projects leveraging an agile delivery model through requirements gathering and documentation, data ingestion pipeline development, and technical testing.
- Contribute to project delivery in the following ways:
- 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 our 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, ensure integration and data integrity
- Build relationships with clients through written and verbal communication
Qualifications:
- 2+ years of hands-on professional development experience, consulting experience preferred.
- 1+ years of experience working with Databricks
- Experience writing complex SQL queries related to data manipulation strategies
- Experience building or working with metadata-driven ETL / ELT patterns and concepts.
- Experience with Spark, Databricks, Kafka, Kinesis, Hadoop, and/or Lambda.
- Exposure using ETL tools (Azure Data Factory, AWS Glue, Informatica, Talend, IBM DataStage, etc.), database platforms (Snowflake, Redshift, Azure Synapse, or Oracle), and data visualization tools (Tableau, Power BI, Looker).
- Experience in technical testing, issue identification and resolution
- Strong verbal and written communication skills
Originally posted on Himalayas
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