
Senior Data Engineer
Department:Data Engineer
Type:REMOTE
Region:USA
Location:Texas, United States
Experience:Mid-Senior level
Estimated Salary:$130,000 - $180,000
Skills:
PYTHONSQLPYSPARKETLELTAWSAZUREGCPSNOWFLAKEDATABRICKSBIGQUERYREDSHIFTSYNAPSEDELTA LAKESAPORACLEKAFKAKINESISEVENT HUBSPUBSUBCI/CDINFRASTRUCTURE-AS-CODEAPISMICROSERVICESDATA GOVERNANCEGDPRHIPAASOC2CCPA
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Job Description
Posted on: March 11, 2026
Senior Data Engineer – Migration & ConsolidationExperience Required: 7+ Years
Location: Remote (United States)
More Than 20+ OpeningsTravel: Up to 40% travel to client locations may be required
Required Skills
- 7+ years of experience in Data Engineering, System Integration, or Data Migration
- Strong experience with Python and SQL
- Hands-on experience with PySpark and modern data processing frameworks
- Experience working with ETL/ELT and data integration tools
- Strong experience building scalable and maintainable data pipelines
- Experience with cloud platforms such as AWS, Azure, or GCP
- Experience with modern data warehouse and lakehouse platforms such as Snowflake, Databricks, BigQuery, Redshift, Synapse, or Delta Lake
- Experience integrating enterprise systems such as SAP and Oracle
- Knowledge of semantic modeling, knowledge graphs, or ontology frameworks
- Exposure to AI-driven tooling or LLM-based solutions in data workflows
- Strong problem-solving skills and ability to work on complex enterprise data environments
- Experience collaborating with technical teams and enterprise stakeholdersPreferred Skills
- Experience with real-time streaming platforms such as Kafka, Kinesis, Event Hubs, or Pub/Sub
- Experience working with enterprise Master Data Management platforms
- Knowledge of CI/CD pipelines and infrastructure-as-code tools
- Experience building APIs and microservices
- Understanding of data governance, data privacy, and regulatory frameworks such as GDPR, HIPAA, SOC2, or CCPA
- Familiarity with data observability, catalog, and lineage platforms
- Knowledge of enterprise business processes such as financial operations, supply chain, procurement, or revenue workflows
- Knowledge of industry standards such as EDI, HL7, FHIR, SWIFT, and XBRL
Originally posted on LinkedIn
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