Senior Data Engineer (contract)
Job Summary
We are seeking a highly skilled Data Engineer to join our data engineering team. The ideal candidate will have extensive experience in building robust ETL pipelines, implementing efficient data ingestion strategies, and working with tools like Python, Spark, and Databricks. This role will involve collaborating with cross-functional teams to ensure data integrity, scalability, and optimal performance for our data-driven solutions.
Key Responsibilities
• Design, develop, and maintain scalable ETL pipelines to ingest and transform data from multiple sources.
• Implement data integration strategies using Python, Spark, and Databricks to enable seamless data ingestion and transformation.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and translate them into technical solutions.
• Develop and optimize data workflows to improve data quality, consistency, and performance.
• Ensure data security, governance, and compliance best practices are followed.
• Conduct performance tuning of Spark jobs and optimize data queries to minimize latency and improve efficiency.
• Automate data pipelines using CI/CD tools and ensure continuous data delivery.
• Troubleshoot data issues, identify root causes, and implement effective solutions.
Required Qualifications
• Strong proficiency in Python, with experience in data manipulation libraries like Pandas and PySpark.
• Extensive experience with Apache Spark for data processing and analysis.
• Hands-on experience with Databricks for building scalable data pipelines.
• Experience with data lakes, data warehouses, and cloud platforms like AWS, Azure, or GCP.
• Strong SQL skills for data extraction, transformation, and querying.
• Familiarity with version control systems (e.g., Git) and CI/CD processes.
• Excellent problem-solving skills, attention to detail, and ability to work collaboratively.
Preferred Skills
• Experience with workflow orchestration tools like Apache Airflow, Dagster, or Prefect.
• Knowledge of data modeling techniques and best practices.
• Familiarity with data visualization tools such as Power BI, Tableau.
• Understanding of data privacy regulations and security protocols."
The pay range that the employer in good faith reasonably expects to pay for this position is $50.85/hour - $79.46/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.
Job Summary
We are seeking a highly skilled Data Engineer to join our data engineering team. The ideal candidate will have extensive experience in building robust ETL pipelines, implementing efficient data ingestion strategies, and working with tools like Python, Spark, and Databricks. This role will involve collaborating with cross-functional teams to ensure data integrity, scalability, and optimal performance for our data-driven solutions.
Key Responsibilities
• Design, develop, and maintain scalable ETL pipelines to ingest and transform data from multiple sources.
• Implement data integration strategies using Python, Spark, and Databricks to enable seamless data ingestion and transformation.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and translate them into technical solutions.
• Develop and optimize data workflows to improve data quality, consistency, and performance.
• Ensure data security, governance, and compliance best practices are followed.
• Conduct performance tuning of Spark jobs and optimize data queries to minimize latency and improve efficiency.
• Automate data pipelines using CI/CD tools and ensure continuous data delivery.
• Troubleshoot data issues, identify root causes, and implement effective solutions.
Required Qualifications
• Strong proficiency in Python, with experience in data manipulation libraries like Pandas and PySpark.
• Extensive experience with Apache Spark for data processing and analysis.
• Hands-on experience with Databricks for building scalable data pipelines.
• Experience with data lakes, data warehouses, and cloud platforms like AWS, Azure, or GCP.
• Strong SQL skills for data extraction, transformation, and querying.
• Familiarity with version control systems (e.g., Git) and CI/CD processes.
• Excellent problem-solving skills, attention to detail, and ability to work collaboratively.
Preferred Skills
• Experience with workflow orchestration tools like Apache Airflow, Dagster, or Prefect.
• Knowledge of data modeling techniques and best practices.
• Familiarity with data visualization tools such as Power BI, Tableau.
• Understanding of data privacy regulations and security protocols."
The pay range that the employer in good faith reasonably expects to pay for this position is $50.85/hour - $79.46/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.
