Data Engineer

Valiant Technologies LLC; Sunnyvale (CA); On-site; USD 74,000 - 105,000; Full time

Job summary

To Be Discussed Later seeks a Data Engineer in Sunnyvale, CA for a 10-month plus extension engagement. The role covers designing and supporting analytics, migrating and engineering data using Azure tools, and contributing across the full development lifecycle within a DevOps team.

The candidate should have the listed qualifications and experience. The position offers on-site work in Sunnyvale with a bill rate of $65/hour (C2C) and supports multiple contract types (W-2, 1099, C2C).

Qualifications

• Bachelor's degree in CS/Engineering or related technical discipline.
• Experience building data solutions using agile and DevOps practices.
• Data analytics experience using SQL.
• Experience with cloud technologies (Azure).

Responsibilities

• Design, implement and support analytics solutions in collaboration with source data application teams and product owners.
• Implement data migration and data engineering solutions using Azure services and traditional data warehouse tools.
• Contribute across the development lifecycle: design, cloud engineering, ingestion, modeling, testing, CICD, deployments, production support.
• Collaborate within a team and also work independently; participate in a DevOps team that owns the product.
• Follow coding standards, privacy and security guidelines; operate within a multi-functional technical and domain skills team.

Skills

SQL

Python

Spark

Agile

DevOps

Education

Bachelor's degree in CS/Engineering/IT

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.