Northrop GrummanCamarillo
Bachelor’s degree in engineering, Computer Sciences or related STEM discipline and a minimum of 5 years of relevant experience or a master’s degree in engineering, Computer Sciences or related STEM discipline and a minimum of 3 years of experience in the field of software design and development.
Bac...
Northrop GrummanCoronado
Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or Computer Engineering from an accredited university. Northrop Grumman Aeronautics Systems has an opening for a Principal Engineer Software (Cyber Security) to join our team of qualified, diverse individuals within...
Northrop GrummanEl Cajon
Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or Computer Engineering from an accredited university. Northrop Grumman Aeronautics Systems has an opening for a Principal Software Engineer - Embedded to join our team of qualified, diverse individuals within our S...
Ursus, Inc.Pleasanton (CA)
JOB TITLE: Data Engineer
LOCATION: Pleasanton, CA
DURATION: 6 Month Contract
PAY RANGE: $47-57/hour
TOP SKILLS:
3+ years of industry experience in Data Engineering
3+ years of work experience including hands-on technical experience with SQL...
Ampcus IncorporatedMountain View (CA)
Data Engineer:
Location: Mountain View, CA (Hybrid)
Experience: 10+ yrs.
Skills:
• Python (Numpy, Pandas)
• SQL
• Hadoop, Hive, Pyspark
• RDBMS
• Tableau/Qliksense/Power BI - Any one of those
• Advanced Excel Visuals (Pivot and Regression)...
Allergan AestheticsIrvine
Job Description
Overview:
We are seeking a Data Engineer with experience in ETL, Snowflake, ThoughtSpot, and/or Power BI datasets to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines...
SAICSan Diego
SAIC is seeking an experienced Software Developer in support of our United States Air Force customer. This position will assist in the design and develop front-end user interfaces that integrate with cloud-based software systems that align with modern DevSecOps and Agile processes.
Writes program co...
Insight GlobalSan Jose
Position: Lead Data Engineer (Databricks/AWS)
Duration: 6 Month Contract – w/extensions or conversion
Location: Remote ; East Coast!!!
Must Haves:
• 2-3 years exp. as a data engineer
• 3 years of RECENT experience with Data Bricks
• Must...
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Data Engineer
Kaygen Inc. | Newport Beach | www.resume-library.com |
KAYGEN is an emerging leader in providing top talent for technology based staffing services. We specialize in providing high-volume contingent staffing, direct hire staffing and project based solutions to companies worldwide ranging from startups to Fortune 500 and Managed Service Providers (MSP) across a wide variety of industries.
Job Title: Data Engineer
Location: Newport Beach, CA
Duration: FTE
Job Description:
Are you someone looking for a challenge to work in a startup environment and innovate in a global environment to help build a SaaS Service to scale? Are you willing to roll up your sleeves and do what it takes to deliver value to Customers?
As we expand our Engineering, we are looking for a Sr. Data Engineer to join us and help build robust data pipelines that is an integral part of our SaaS platform
The role would offer an opportunity to work with cross functional teams in developing and evolving Cloud services powering innovative technology solutions used in the real estate industry.
We are seeking a skilled and experienced Data Engineer to join our dynamic team. The Data Engineer will be responsible for designing, implementing, and maintaining our data infrastructure, pipelines, and systems. This role involves collaborating with cross-functional teams to ensure efficient data flow, data quality, and optimal performance.
The ideal candidate should have a strong background in software engineering, database management, and data architecture, along with proficiency in relevant technologies and tools.
Responsibilities:
Lead the design and implementation of robust data pipelines for efficient extraction, transformation, and loading (ETL) of large datasets from diverse sources.
Collaborate with stakeholders to understand business requirements, translating them into scalable data solutions tailored to end-user needs.
Enhance and maintain our data architecture, ensuring scalability, reliability, and performance.
Investigate and resolve data anomalies within ETL pipelines, ensuring data integrity and accuracy.
Develop and maintain documentation for data processes, ensuring clarity and sustainability.
Utilize AWS platform capabilities to architect and operate scalable production solutions.
Implement data security practices and compliance measures to protect sensitive information.
Build and manage data warehouses and data lakes to store and organize large datasets.
Implement data quality checks and procedures to ensure data accuracy and consistency.
Automate data workflows and processes using scripting languages and data pipeline orchestration tools.
Collaborate with business analysts, onboarding teams, and business stakeholders to understand data needs and translate them into technical solutions.
Monitor and troubleshoot data pipelines, identify bottlenecks, and optimize performance of data infrastructure to ensure scalability and efficiency.
Troubleshoot issues with production data and/or inconsistencies and propose sustainable solutions to address them
Document data pipelines and processes for maintainability and knowledge sharing.
Stay updated with emerging technologies and best practices in data engineering, and propose innovative solutions.
Document system architectures, processes, and procedures for knowledge sharing and future reference.
Provide technical guidance and support to junior team members, and contribute to their professional development
Skills and Qualifications:
• Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
• A minimum of 5 years of experience as a Data Engineer or similar role.
• Strong proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
• Experience with cloud-based data platforms (e.g., AWS, Azure, GCP).
• Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
• Experience with data ingestion tools (e.g., Fivetran, Stitch, Kafka).
• Programming experience in Python, Java, or similar languages.
• Experience with scripting languages (e.g., Bash, Shell).
• Experience with data workflow management tools (e.g., Airflow, Luigi).
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Ability to work independently and as part of a team.
At KAYGEN, we are always looking for dynamic, talented and experienced individuals. We invite you to join our team of talented IT professionals, consulting at client locations across the globe. Our culture is team-orientated; we strive to stand by our core values of respect, honesty and integrity.
Our team of experienced staffing experts will work with you to find you the best opportunity. For more information please visit us at
Benefits:
Free Healthcare Insurance
Vision and Dental Insurance
401(k) Retirement Plan
Free Life Insurance
Sick Time Off
Achieve your Kaizen by clicking here. A unique and exclusive talent community supported by Kaygen, that includes programs like: Certifications
Mentorship Program
Referrals
Family and Wellness benefits
Continuous Growth and Career Development
Job Title: Data Engineer
Location: Newport Beach, CA
Duration: FTE
Job Description:
Are you someone looking for a challenge to work in a startup environment and innovate in a global environment to help build a SaaS Service to scale? Are you willing to roll up your sleeves and do what it takes to deliver value to Customers?
As we expand our Engineering, we are looking for a Sr. Data Engineer to join us and help build robust data pipelines that is an integral part of our SaaS platform
The role would offer an opportunity to work with cross functional teams in developing and evolving Cloud services powering innovative technology solutions used in the real estate industry.
We are seeking a skilled and experienced Data Engineer to join our dynamic team. The Data Engineer will be responsible for designing, implementing, and maintaining our data infrastructure, pipelines, and systems. This role involves collaborating with cross-functional teams to ensure efficient data flow, data quality, and optimal performance.
The ideal candidate should have a strong background in software engineering, database management, and data architecture, along with proficiency in relevant technologies and tools.
Responsibilities:
Lead the design and implementation of robust data pipelines for efficient extraction, transformation, and loading (ETL) of large datasets from diverse sources.
Collaborate with stakeholders to understand business requirements, translating them into scalable data solutions tailored to end-user needs.
Enhance and maintain our data architecture, ensuring scalability, reliability, and performance.
Investigate and resolve data anomalies within ETL pipelines, ensuring data integrity and accuracy.
Develop and maintain documentation for data processes, ensuring clarity and sustainability.
Utilize AWS platform capabilities to architect and operate scalable production solutions.
Implement data security practices and compliance measures to protect sensitive information.
Build and manage data warehouses and data lakes to store and organize large datasets.
Implement data quality checks and procedures to ensure data accuracy and consistency.
Automate data workflows and processes using scripting languages and data pipeline orchestration tools.
Collaborate with business analysts, onboarding teams, and business stakeholders to understand data needs and translate them into technical solutions.
Monitor and troubleshoot data pipelines, identify bottlenecks, and optimize performance of data infrastructure to ensure scalability and efficiency.
Troubleshoot issues with production data and/or inconsistencies and propose sustainable solutions to address them
Document data pipelines and processes for maintainability and knowledge sharing.
Stay updated with emerging technologies and best practices in data engineering, and propose innovative solutions.
Document system architectures, processes, and procedures for knowledge sharing and future reference.
Provide technical guidance and support to junior team members, and contribute to their professional development
Skills and Qualifications:
• Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
• A minimum of 5 years of experience as a Data Engineer or similar role.
• Strong proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
• Experience with cloud-based data platforms (e.g., AWS, Azure, GCP).
• Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
• Experience with data ingestion tools (e.g., Fivetran, Stitch, Kafka).
• Programming experience in Python, Java, or similar languages.
• Experience with scripting languages (e.g., Bash, Shell).
• Experience with data workflow management tools (e.g., Airflow, Luigi).
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Ability to work independently and as part of a team.
At KAYGEN, we are always looking for dynamic, talented and experienced individuals. We invite you to join our team of talented IT professionals, consulting at client locations across the globe. Our culture is team-orientated; we strive to stand by our core values of respect, honesty and integrity.
Our team of experienced staffing experts will work with you to find you the best opportunity. For more information please visit us at
Benefits:
Free Healthcare Insurance
Vision and Dental Insurance
401(k) Retirement Plan
Free Life Insurance
Sick Time Off
Achieve your Kaizen by clicking here. A unique and exclusive talent community supported by Kaygen, that includes programs like: Certifications
Mentorship Program
Referrals
Family and Wellness benefits
Continuous Growth and Career Development
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