Lead Data Engineer (contract)
We are seeking a highly skilled Lead Data Engineer to join our Data Platforms team supporting T-Mobile USA. This role will focus on designing and developing scalable ETL pipelines and implementing efficient data ingestion and transformation strategies. The ideal candidate will bring hands-on expertise with modern data engineering tools such as Python, Apache Spark, Databricks, and Snowflake, and collaborate closely with cross-functional teams to deliver high-performance, data-driven solutions.
Location Options: Frisco, TX / Atlanta, GA / Overland Park, KS
Key Responsibilities
• Design, develop, and maintain robust ETL pipelines for ingesting and transforming data from diverse sources.
• Build scalable data integration solutions using Python, Spark, Databricks, and Snowflake.
• Collaborate with data scientists, analysts, and business stakeholders to translate business needs into technical specifications.
• Optimize Spark jobs and SQL queries for performance, scalability, and minimal latency.
• Ensure adherence to data governance, security, and compliance standards across all workflows.
• Automate data pipeline deployments via CI/CD frameworks and implement monitoring for continuous delivery.
• Troubleshoot data integrity issues, identify root causes, and implement corrective actions.
• Document pipeline architecture, transformation logic, and operational procedures.
Preferred Qualifications
• Experience with orchestration tools like Apache Airflow, Dagster, or Prefect.
• Familiarity with data visualization platforms such as Power BI or Tableau.
• Knowledge of data modeling principles and best practices for scalable architecture.
• Understanding of data privacy regulations, encryption, and secure access management.
Skills Summary
Core Expertise:
Data engineering, ETL pipeline development, data ingestion, transformation architecture, performance tuning
Languages & Frameworks
Python (Pandas, PySpark), SQL, Apache Spark, Spark SQL
Cloud & Data Platforms
Databricks, Snowflake, AWS, Azure, GCP
Orchestration & DevOps
CI/CD (Git, GitHub, GitLab), Apache Airflow (preferred), DAG scheduling, automation
Data Management & Architecture
Data lakes, data warehouses, data modeling, schema design
Other Tools & Technologies
Power BI, Tableau (preferred), version control (Git), data security protocols
Soft Skills
Strong analytical mindset, cross-functional collaboration, stakeholder communication, attention to detail, problem-solving
The pay range that the employer in good faith reasonably expects to pay for this position is $48.54/hour - $75.85/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.
We are seeking a highly skilled Lead Data Engineer to join our Data Platforms team supporting T-Mobile USA. This role will focus on designing and developing scalable ETL pipelines and implementing efficient data ingestion and transformation strategies. The ideal candidate will bring hands-on expertise with modern data engineering tools such as Python, Apache Spark, Databricks, and Snowflake, and collaborate closely with cross-functional teams to deliver high-performance, data-driven solutions.
Location Options: Frisco, TX / Atlanta, GA / Overland Park, KS
Key Responsibilities
• Design, develop, and maintain robust ETL pipelines for ingesting and transforming data from diverse sources.
• Build scalable data integration solutions using Python, Spark, Databricks, and Snowflake.
• Collaborate with data scientists, analysts, and business stakeholders to translate business needs into technical specifications.
• Optimize Spark jobs and SQL queries for performance, scalability, and minimal latency.
• Ensure adherence to data governance, security, and compliance standards across all workflows.
• Automate data pipeline deployments via CI/CD frameworks and implement monitoring for continuous delivery.
• Troubleshoot data integrity issues, identify root causes, and implement corrective actions.
• Document pipeline architecture, transformation logic, and operational procedures.
Preferred Qualifications
• Experience with orchestration tools like Apache Airflow, Dagster, or Prefect.
• Familiarity with data visualization platforms such as Power BI or Tableau.
• Knowledge of data modeling principles and best practices for scalable architecture.
• Understanding of data privacy regulations, encryption, and secure access management.
Skills Summary
Core Expertise:
Data engineering, ETL pipeline development, data ingestion, transformation architecture, performance tuning
Languages & Frameworks
Python (Pandas, PySpark), SQL, Apache Spark, Spark SQL
Cloud & Data Platforms
Databricks, Snowflake, AWS, Azure, GCP
Orchestration & DevOps
CI/CD (Git, GitHub, GitLab), Apache Airflow (preferred), DAG scheduling, automation
Data Management & Architecture
Data lakes, data warehouses, data modeling, schema design
Other Tools & Technologies
Power BI, Tableau (preferred), version control (Git), data security protocols
Soft Skills
Strong analytical mindset, cross-functional collaboration, stakeholder communication, attention to detail, problem-solving
The pay range that the employer in good faith reasonably expects to pay for this position is $48.54/hour - $75.85/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.
