LHH Recruitment Solutions
Data Engineer
LHH Recruitment Solutions, San Francisco, CA, United States
Job Title: Data Engineer (Contract)
Location: United States
Work site: Fully Remote
LHH Recruitment Solutions is seeking an skilled Data Engineer for a large client of ours providing cutting edge software solutions to those in the legal industry. In this role, you will build a highly reliable, trustworthy data lakehouse that is leveraged across the organization to derive insights and make real-time decisions. You will be bringing your skills to drive new data projects, build reliable data pipelines, set up strong monitoring and alerting systems, and build data solutions to support a diverse set of use cases.
Responsibilities
• Design and develop data pipelines using tools like Apache Airflow or by leveraging Snowflake's external tables functionality.
• Translate HiveQL queries to Snowflake SQL, ensuring compatibility and efficient data processing.
• Utilize DBT to model and transform data within Snowflake, adhering to best practices for data governance and maintainability.
• Configure and manage data pipelines in GCP to orchestrate data movement and processing tasks.
• Collaborate with data analysts and stakeholders to understand data requirements and ensure a successful migration outcome.
• Monitor and optimize data pipelines for performance and scalability.
• Develop and implement automated testing procedures to validate data quality and integrity after migration.
• Document the migration process and provide ongoing support for the migrated data warehouse on Snowflake.
Requirements
• Minimum 5+ years of experience as a Data Engineer with a proven track record of successful data warehouse/data lake implementation and management.
• Deep understanding of leveraging Snowflake to build highly performant and resilient data warehouse.
• Strong expertise in HiveQL, SQL, and experience with data warehousing/lake house concepts (dimensional modeling, data quality, etc.).
• Strong programming knowledge in python.
• Experience with Apache Spark for large-scale data processing (a plus).
• Proficiency in dbt for data modeling and transformation in Snowflake preferred.
• Experience working with Google Cloud Platform (GCP) and its data storage services (GCS, BigQuery - a plus).
• Excellent written and verbal communication skills with the ability to collaborate effectively with cross-functional teams.
• Strong problem-solving skills and a passion for building efficient and scalable data solutions.
• Snowflake certification preferred.
Preferred Qualifications:
• Strong understanding of data architectures and patterns.
• Experience in DataOps implementation and support
• Experience in MLOps implementation and support.
• Experience in building and supporting AI/ML platform.
Compensation: $40-50/hr
Benefit offerings: medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria.
Applicants must be authorized to work for any employer in the U.S. Our client is unable to sponsor or take over sponsorship of an employment Visa at this time.
Pay Details: $40.00 to $50.00 per hour
Search managed by: Scott McKeen
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
Equal Opportunity Employer/Veterans/Disabled
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
Location: United States
Work site: Fully Remote
LHH Recruitment Solutions is seeking an skilled Data Engineer for a large client of ours providing cutting edge software solutions to those in the legal industry. In this role, you will build a highly reliable, trustworthy data lakehouse that is leveraged across the organization to derive insights and make real-time decisions. You will be bringing your skills to drive new data projects, build reliable data pipelines, set up strong monitoring and alerting systems, and build data solutions to support a diverse set of use cases.
Responsibilities
• Design and develop data pipelines using tools like Apache Airflow or by leveraging Snowflake's external tables functionality.
• Translate HiveQL queries to Snowflake SQL, ensuring compatibility and efficient data processing.
• Utilize DBT to model and transform data within Snowflake, adhering to best practices for data governance and maintainability.
• Configure and manage data pipelines in GCP to orchestrate data movement and processing tasks.
• Collaborate with data analysts and stakeholders to understand data requirements and ensure a successful migration outcome.
• Monitor and optimize data pipelines for performance and scalability.
• Develop and implement automated testing procedures to validate data quality and integrity after migration.
• Document the migration process and provide ongoing support for the migrated data warehouse on Snowflake.
Requirements
• Minimum 5+ years of experience as a Data Engineer with a proven track record of successful data warehouse/data lake implementation and management.
• Deep understanding of leveraging Snowflake to build highly performant and resilient data warehouse.
• Strong expertise in HiveQL, SQL, and experience with data warehousing/lake house concepts (dimensional modeling, data quality, etc.).
• Strong programming knowledge in python.
• Experience with Apache Spark for large-scale data processing (a plus).
• Proficiency in dbt for data modeling and transformation in Snowflake preferred.
• Experience working with Google Cloud Platform (GCP) and its data storage services (GCS, BigQuery - a plus).
• Excellent written and verbal communication skills with the ability to collaborate effectively with cross-functional teams.
• Strong problem-solving skills and a passion for building efficient and scalable data solutions.
• Snowflake certification preferred.
Preferred Qualifications:
• Strong understanding of data architectures and patterns.
• Experience in DataOps implementation and support
• Experience in MLOps implementation and support.
• Experience in building and supporting AI/ML platform.
Compensation: $40-50/hr
Benefit offerings: medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria.
Applicants must be authorized to work for any employer in the U.S. Our client is unable to sponsor or take over sponsorship of an employment Visa at this time.
Pay Details: $40.00 to $50.00 per hour
Search managed by: Scott McKeen
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
Equal Opportunity Employer/Veterans/Disabled
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
- The California Fair Chance Act
- Los Angeles City Fair Chance Ordinance
- Los Angeles County Fair Chance Ordinance for Employers
- San Francisco Fair Chance Ordinance