senior data engineer
- Charlotte, United States
Posted 27 days ago
About the role
Charlotte, NC, United States (On-site)
Contract (4 months 22 days)
Published 7 minutes ago
ETL/ELT Development
data architecture
Power BI
root cause analysis
performance tuning
DevOps & CI/CD
sql programming
production support
Dremio
agile methodology
We are seeking an experienced Senior Data Engineer with strong Dremio expertise to design, build, and optimize modern data lakehouse solutions. The ideal candidate will have hands-on experience with Dremio, SQL, PySpark, cloud-based data platforms, and large-scale analytical environments. The role involves enabling high-performance data access, implementing data engineering pipelines, and supporting business intelligence and AI/ML workloads.
Key Responsibilities:
Design, develop, and maintain enterprise-scale data solutions using Dremio.
Build semantic datasets, virtual views, and optimized data models for analytics consumption.
Develop scalable ETL/ELT pipelines using Python, PySpark, and SQL.
Optimize query performance using Dremio Reflections and data partitioning strategies.
Collaborate with business analysts, data scientists, and BI teams to deliver trusted datasets.
Support data governance, lineage, security, and access control initiatives.
Troubleshoot production issues and perform root cause analysis.
Implement best practices for data quality, monitoring, and operational excellence.
Participate in architecture reviews and technology roadmap discussions.
Required Skills:
Must Have:
8+ years of Data Engineering experience.
3+ years of hands-on experience with Dremio.
Strong SQL development and query optimization skills.
Experience with Python and PySpark.
Experience working with Data Lakes and Lakehouse architectures.
Knowledge of Apache Iceberg, Parquet, Arrow, Delta Lake, or similar technologies.
Experience with AWS, Azure, or GCP cloud platforms.
Strong understanding of Data Warehousing concepts.
Experience with Git, CI/CD pipelines, and Agile methodologies.
Preferred:
Experience with Snowflake, Databricks, Redshift, Synapse, or BigQuery.
Experience integrating BI tools such as Power BI, Tableau, or Qlik.
Familiarity with Data Governance and Metadata Management tools.
Knowledge of Generative AI or AI-ready data platforms.
Experience with Kubernetes and containerized deployments.
Nice to Have:
AWS/Azure Data Engineering Certifications.
Experience with Apache Iceberg Catalogs.
Knowledge of Data Mesh and Modern Data Architecture patterns.
The pay range that the employer in good faith reasonably expects to pay for this position is $30.05/hour - $46.95/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.
Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.