Data Engineer

Quantum Technologies. LLC; Sunnyvale (CA); On-site; USD 76,000 - 103,000; Full time

Job summary

Quantum Technologies LLC in Sunnyvale, CA seeks a Data Engineer for a 10-month contract to design and implement analytics solutions. You will work with source data teams and product owners to build that capability using Azure services and modern data pipelines.

The role requires data analytics experience with SQL, cloud technologies (Azure) and DevOps practices. You will contribute to end-to-end data processing, modeling, testing and production support.

Qualifications

• Bachelor's degree in CS/CE/IT or related field.
• Experience building data solutions with agile and DevOps practices.
• Data analytics experience using SQL.
• Experience with Microsoft Azure cloud technologies.

Responsibilities

• Collaborate with source data teams and product owners to design analytics solutions.
• Implement data migration and data engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks).
• Perform development lifecycle tasks including design, cloud engineering, ingestion, preparation, data modeling, testing, CI/CD pipelines, and production support.
• Follow coding standards, best practices and privacy and security guidelines.

Skills

SQL

DevOps

Data analytics

Education

Bachelor's degree in Computer Science or related field

Tools

Azure

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Data Engineer

Location: Sunnyvale, CA

Duration: 10 Months + Extension

Bill Rate: $65/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

• As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations.
• Work closely with source data application teams and product owners to design, implement and support analytics solutions that provide insights to make better decisions
• Implement data migration and data engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc.) and traditional data warehouse tools
• Perform multiple aspects involved in the development lifecycle – design, cloud engineering (Infrastructure, network, security, and administration), ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, BI, alerting, prod support
• Develop technical solutions and collaborate within a team environment as well as work independently
• Be a part of a DevOps team that completely owns and supports their product
• Follow coding standards, best practices and privacy and security guidelines
• Be part of multi-functional technical and domain skills team

Minimum Qualifications :

• Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
• experience building data solutions, using agile and DevOps practices.
• data analytics experience using SQL
• experience with Cloud technologies (especially Microsoft Azure)

Preferred Qualifications :

• software solution development using agile, dev ops practices.
• data analytics experience using SQL
• SQL, Python and Spark
• experience with Cloud Technologies (especially Microsoft Azure)

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.