Senior Data Engineer

VDart, Inc.

Plano, TX, United States

24 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Artificial Intelligence Business Intelligence Development Cloud Computing Continuous Integration Data Validation Information Engineering Data Governance Data Integration Extract Transform Load (ETL) Data Mart Data Systems Data Warehousing

+15 more

Python (Programming Language) Metadata Meta-Data Management Operational Databases Cloud Services Standard Sql DataOps SQL Server Integration Services Enterprise Data Management Snowflake Data Lakes Apache Kafka Data Pipelines Amazon Redshift Databricks

Job description

BI Developers or Data Analysts without hands-on data pipeline and platform engineering experience. ETL Developers lacking Snowflake, Python, or modern cloud data warehouse experience. Data Engineers without enterprise-scale pipeline development, governance, or production support experience., Client is seeking an experienced Data Engineer to help build and support a modern enterprise data platform powering analytics, reporting, and AI initiatives. This role will develop scalable data pipelines, improve data quality, and partner with business and technology teams to deliver high-impact data solutions. Responsibilities Design, build, and support enterprise ETL/ELT pipelines and data models. Develop and maintain data warehouses, data lakes, and curated data marts. Build scalable data solutions using Snowflake, Databricks, Redshift, and related cloud technologies. Implement data quality checks, monitoring, metadata, and observability. Support Kafka, SSIS, or similar integration technologies. Monitor production data pipelines and troubleshoot data issues. Apply governance, security, and PII controls across enterprise data platforms. Collaborate with analytics, AI/ML, and business teams to deliver trusted data solutions., Join Amrize as a Senior Data Engineer, Manufacturing, North America and help construct what’s next. If you’re ready to put your skills to work on projects that matter - and build a…

9 days ago

Requirements

8+ years of Data Engineering experience with strong SQL, Python, Snowflake, and Databricks or Redshift building enterprise data pipelines. Hands-on experience developing ETL/ELT pipelines, data warehouses/data lakes, Kafka or SSIS, CI/CD, and data quality/observability solutions. Strong understanding of data governance, PII/security, cloud data platforms, and delivering trusted datasets for analytics and AI initiatives., 8+ years of production Data Engineering experience. Strong SQL and Python development skills. Hands-on experience with Snowflake and Databricks or Amazon Redshift. Experience with Kafka, SSIS, or equivalent data integration technologies. Experience building enterprise ETL/ELT pipelines and cloud data platforms. Strong understanding of CI/CD, testing, and data engineering best practices. Experience with data quality, governance, observability, and metadata management. Consumer lending or financial services experience and SnowPro certifications are a plus.