Data Engineer

Hanover, NH, United States (On-site)

Contract (1 month 23 days)

Published 42 minutes ago

Docker & Kubernetes

data warehousing

CI/CD

data engineering

Apache Spark, PySpark

SQL

Python

nosql databases

ETL/ELT

• Design develop and maintain scalable and reliable data pipelines for batch and realtime processing
• Build and manage enterprise data lakes data warehouses and data marts
• Develop ETLELT solutions using modern data engineering tools and frameworks
• Collaborate with business stakeholders architects analysts and data scientists to understand data requirements
• Optimize data processing workflows for performance scalability and cost efficiency
• Implement data quality lineage governance and monitoring frameworks
• Design and maintain data models supporting analytics and reporting use cases
• Lead technical design discussions and provide engineering best practices
• Troubleshoot complex data integration and performance issues
• Mentor junior engineers and conduct code reviews
• Support CICD automation and infrastructure as code initiatives

Required Skills:

Data Engineering

• Strong experience in designing and building largescale data platforms
• Expertise in data warehousing and dimensional modeling
• Experience with ETLELT design and implementation
• Strong understanding of data governance metadata management and data quality frameworks

Programming Databases:

• Advanced proficiency in Python and SQL
• Experience with Spark PySpark for largescale data processing
• Strong knowledge of relational and NoSQL databases

Cloud Technologies:

• Experience with one or more cloud platforms
• AWS
• S3
• Glue
• Lambda
• Redshift
• Athena
• EMR
• Step Functions

Azure:

• Azure Data Factory ADF
• Azure Synapse Analytics
• Azure Databricks
• ADLS Gen2

Big Data Streaming:

• Apache Spark
• Kafka
• Kinesis
• Hadoop ecosystem preferred

DevOps Automation:

• Git
• Jenkins, GitHub Actions Azure DevOps
• Terraform or CloudFormation
• Docker and Kubernetes preferred

Preferred Qualifications:

• Experience with Apache Iceberg Delta Lake or Hudi
• Hands-on experience with Snowflake or Databricks
• Experience implementing Lakehouse architectures
• Working knowledge of Data Mesh and modern data platform concepts
• Exposure to AIML data pipelines and feature engineering
• Experience in Banking Financial Services or Capital Markets domains

The pay range that the employer in good faith reasonably expects to pay for this position is $40.45/hour - $63.20/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.