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Senior Data Engineer
Job in
San Antonio, Bexar County, Texas, 78201, USA
Listed on 2026-11-01
Listing for:
Insight Global
Full Time
position Listed on 2026-11-01
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing, Data Analyst, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Job Title:
Senior Data Engineer
Remote Job
Shift Time : 2:00 PM to 11:00 PM
Time Zone: must have overlap with US teams, work until 2AM IST.
Job Description Must-Haves- Strong experience in data engineering, ETL (preferably Informatica), and data architecture
- Experience working with Salesforce platforms and data models
- Hands-on experience with Airflow DAGS and Mule Soft
- Strong SQL skills with Snowflake and other relational databases
- Experience writing complex Python modules for custom ETL workflows
- Expertise in building batch and real-time data pipelines
- Experience with dbt for data transformation and modeling
- Familiarity with AWS/GCP and distributed/event-driven architectures
- Strong understanding of data modeling, data warehousing, and big data processing
- Experience with data quality, monitoring, and pipeline orchestration frameworks
- Ability to work closely with Product, Data Science, and Analytics teams
- Experience working on Salesforce Flows and Apex is a plus
- Main skillsets:
Intelligent Data Management Cloud, IDMC (Informatica Cloud), strong SQL, DBT
- Data Build Tool - secondary: airflow dags, snowflake, working salesforce systems like understanding salesforce apis/ Mule Soft / architecture
The supplier will serve the Data Strategy and Operations function within UKS, establishing new data integration patterns into Data 360 from third-party vendors and managing ingestion from existing sources. Engineers will own pipeline monitoring, KPI tracking, and egress management to multiple downstream destinations.
Responsibilities- Manage all new data ingestions for teams operational needs
- Build new data integrations for all new data sources and providers, including third-party data providers
- Manage new data egress patterns to send/share data outputs from Data 360 to multiple destinations
- Ingest new data via existing ingestion pipelines
- Monitor, maintain, and troubleshoot data pipelines
Track and report statistics including data volume, number of data streams, and other ingestion KPIs
- Establish new data integration for data provider
- Ingest an additional dataset from Moody's (integration already established)
- Manage other third-party vendor data sources as assigned.
Position Requirements
10+ Years
work experience
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