Data Engineer
- Location
- Raleigh, NC, US
- Job function
- Software/Internet/AI › Data & Analytics › Data Engineer
Posted Nov 10, 2026Last confirmed open Nov 10, 2026
About this role
- Job ID:
J54662
- Job Title:
Data Engineer
- Location:
Raleigh, NC
- Duration:
12 Months + Extension
- Domain Exposure:
Utilities/ Energy
- Client:
To Be Discussed Later
- Employment Type:
W-2, 1099, C2C
- Work Authorization:
US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other
Job Title: Data Engineer
Location: Raleigh , NC
Duration: 12 Months + Extension
Bill Rate: $76/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other
Technical/Business Skills :
- Strong hands-on experience in building robust metadata-driven, automated, secured, governed data pipeline solutions leveraging modern cloud data technologies, tools for large data platforms.
- Strong experience designing, building, and operating secure, audited, and cost-efficient data pipelines using medallion architecture on Snowflake—from raw ingestion to Data Vault 2.0 models and onward to business-friendly consumption layers (mart/semantic).
- Strong hands-on experience building, managing, packaging, deploying DBT Cloud data pipelines with advanced macros, SQL; automating testing strategies; and maintaining lineage.
- Strong experience in Snowflake architecture, data classification, tagging & masking automation, Universal Search, performance tuning, security and cost optimization.
- Strong hands-on experience building snowflake objects (tables, streams, tasks, materialized views) and optimize clustering/micro-partitioning.
- Strong experience using Astronomer Airflow for orchestrating, scheduling data pipelines; and Terraform (with HashiCorp practices) for IaaC automation of pipelines.
- Strong hands-on experience building data pipelines, data integrity solutions across multiple data sources and targets like SQL Server, Oracle, Mainframe-DB2, files, Snowflake.
- Experience using S3, Lambda, SQS, SNS, Glue, RDS AWS services.
- Excellent proficiency in Python, Pyspark, advanced SQL for ingestion frameworks and automation.
- Experience in implementing logging, monitoring, alerting with Snowflake using ACCOUNT_USAGE/INFORMATION_SCHEMA, event tables, and integrating with Splunk, Datadog.
- Strong experience designing, implementing tokenization, RBAC, masking policies, dynamic & conditional masking, data access controls across Snowflake and supporting systems.
- Strong experience in adopting release management guidelines, code deployment to various environments, implementing disaster recovery strategies, leading production activities.
- Experience in SCIM/SSO (Okta), MFA, ephemeral credentials, service-account hardening.
- Internal dbt packages, reusable Terraform modules, project templates experience is a plus.
- Experience with Iceberg/external tables; Kafka or event-driven ingestion patterns is a plus.
- Experience FinOps for Snowflake, cost charge-back/show-back, warehouse auto-tuning is a plus.
- Power BI/Looker metric-layer design; semantic modeling concepts experience is a plus.
- Great Expectations, Monte Carlo/Anomalo/Atlan/Collibra/BigID integrations experience is a plus.
- DBT mesh, custom materializations, Slim CI, state comparison experience is a plus.
- Financial banking experience is a plus.
- Must have one or more certifications in the relevant technology fields.
Functional Skills :
- Team Player: Support peers, team, and department management.
- Communication: Excellent verbal, written, and interpersonal communication skills.
- Problem Solving: Excellent problem-solving skills, incident management, root cause analysis, and proactive solutions to improve quality.
- Partnership and Collaboration: Develop and maintain partnership with business and IT stakeholders
- Attention to Detail: Ensure accuracy and thoroughness in all tasks.
Equal Opportunity
Employer
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs.
We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
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