Data Engineer - Remote
San Francisco, California
Contractor
$50.00 - $65.00 per Hour
Job Title: Data Engineer
Job Description: As a Data Engineer, you will play a pivotal role in building and enhancing our data engineering framework. You will contribute to an infrastructure that centralizes ETL logic and metric definitions, ensuring data integrity and accessibility. This role offers the autonomy to design and implement scalable data engineering solutions to address complex business and data challenges.
Key Responsibilities:
Design and Develop Data Pipelines: Create and maintain robust data pipelines for extracting, transforming, and loading (ETL) data from various sources into our data warehouse.
Data Modeling: Develop and optimize data models to support business intelligence and analytics needs.
Collaborate with Stakeholders: Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to gather requirements and deliver data solutions that meet their needs.
Optimize Data Systems: Identify and implement process improvements to enhance data quality, reliability, and efficiency. This includes re-designing infrastructure for greater scalability and automating manual processes.
Maintain Data Infrastructure: Ensure the ongoing maintenance and optimization of our data infrastructure, including data warehouses and data lakes.
Implement Best Practices: Stay current with industry trends and best practices in data engineering, and apply this knowledge to improve our data systems.
Troubleshoot and Resolve Issues: Diagnose and resolve data-related issues, ensuring the smooth operation of data pipelines and systems.
Minimum Qualifications:
Education: Bachelor's degree in Computer Science, Engineering, or a related field.
Experience: 3+ years of experience in data engineering, with a strong background in data modeling and data pipeline development.
Technical Skills:
Proficiency in Python and SQL for data manipulation and pipeline development.
Experience with big data technologies such as Apache Spark and Hadoop.
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).
Knowledge of data integration tools and techniques.
Soft Skills:
Strong problem-solving skills and the ability to think critically and creatively.
Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
A proactive and collaborative approach to working with cross-functional teams.
A passion for continuous learning and staying updated with the latest advancements in data engineering.
Preferred Qualifications:
Certifications: Relevant certifications in data engineering or cloud platforms (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer).
Additional Skills:
Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
Familiarity with machine learning and data science concepts.
Knowledge of data governance and security best practices.
About You:
You are innovative and inspired to take on new challenges, and you do not shy away from potential failure.
You enjoy partnering cross-functionally and gathering input from stakeholders to drive data solutions.
You are a proactive communicator who helps simplify and move complex problems forward.
Compensation: $50-65/hr
Benefit Offerings:
Benefit offerings include 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.
Disclaimer: This is not a C2C opportunity. Client us also unable to provide any sponsorship on conversion.
Pay Details: $50.00 to $65.00 per hour Search managed by: Scott McKeenBenefit 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
Data Engineer - Remote
LHH
2 days ago
$50.00 - $65.00 per Hour
Contractor
San Francisco, California
Job Title: Data Engineer
Job Description: As a Data Engineer, you will play a pivotal role in building and enhancing our data engineering framework. You will contribute to an infrastructure that centralizes ETL logic and metric definitions, ensuring data integrity and accessibility. This role offers the autonomy to design and implement scalable data engineering solutions to address complex business and data challenges.
Key Responsibilities:
Design and Develop Data Pipelines: Create and maintain robust data pipelines for extracting, transforming, and loading (ETL) data from various sources into our data warehouse.
Data Modeling: Develop and optimize data models to support business intelligence and analytics needs.
Collaborate with Stakeholders: Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to gather requirements and deliver data solutions that meet their needs.
Optimize Data Systems: Identify and implement process improvements to enhance data quality, reliability, and efficiency. This includes re-designing infrastructure for greater scalability and automating manual processes.
Maintain Data Infrastructure: Ensure the ongoing maintenance and optimization of our data infrastructure, including data warehouses and data lakes.
Implement Best Practices: Stay current with industry trends and best practices in data engineering, and apply this knowledge to improve our data systems.
Troubleshoot and Resolve Issues: Diagnose and resolve data-related issues, ensuring the smooth operation of data pipelines and systems.
Minimum Qualifications:
Education: Bachelor's degree in Computer Science, Engineering, or a related field.
Experience: 3+ years of experience in data engineering, with a strong background in data modeling and data pipeline development.
Technical Skills:
Proficiency in Python and SQL for data manipulation and pipeline development.
Experience with big data technologies such as Apache Spark and Hadoop.
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).
Knowledge of data integration tools and techniques.
Soft Skills:
Strong problem-solving skills and the ability to think critically and creatively.
Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
A proactive and collaborative approach to working with cross-functional teams.
A passion for continuous learning and staying updated with the latest advancements in data engineering.
Preferred Qualifications:
Certifications: Relevant certifications in data engineering or cloud platforms (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer).
Additional Skills:
Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
Familiarity with machine learning and data science concepts.
Knowledge of data governance and security best practices.
About You:
You are innovative and inspired to take on new challenges, and you do not shy away from potential failure.
You enjoy partnering cross-functionally and gathering input from stakeholders to drive data solutions.
You are a proactive communicator who helps simplify and move complex problems forward.
Compensation: $50-65/hr
Benefit Offerings:
Benefit offerings include 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.
Disclaimer: This is not a C2C opportunity. Client us also unable to provide any sponsorship on conversion.
Pay Details: $50.00 to $65.00 per hour Search managed by: Scott McKeenBenefit 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