Fulltime Data Engineers openings in California on September 03, 2022

Lead Data Engineer at Harnham

Location: Los Angeles

LEAD DATA ENGINEER

LOS ANGELES, CA

$190,000 – $240,000

We’re recruiting a Lead Data Engineer with experience with ETL frameworks and a passion for building and mentoring teams to join this digital health company making a positive impact on cancer patients. If you have strong Python, SQL, and cloud platform experience and enjoy building data systems from the ground up, apply here!

THE COMPANY:

This data-driven healthcare technology company is working to transform the lives of millions of cancer patients through their implantable medical devices. Their product combines the most cutting-edge technology in medical device science and software development to produce the first intelligent biologic sensors. If you’re passionate about making a difference through personalized health care and interested in a start-up mindset, this is the company for you.

THE ROLE:

Reporting directly to the CTO, this Lead Data Engineer will be aiding the organization in the development and production of their implantable medical device technology. As a publicly-traded company with a start-up culture, this organization is a great place for a strong Data Engineer to have influence over company-wide data practices. You will have hands-on experience developing and maintaining data architecture, preparing data for predictive modeling and analytics programs, and driving overall data engineering practices.

YOUR SKILLS AND EXPERIENCE:

Experience developing end to end data batch and real-time ETL pipelines
Strong Python and SQL skills
Experience working in a cloud data stack (preferably AWS)
Interest in building and leading a successful team of data engineers
BONUS:
Spark
TensorFlow
Databricks

THE BENEFITS:

$190,000 – $240,000
Hybird opportunity – office located in LA
Competitive health insurance package with Medical, Vision, Dental
Equity
Maternity and paternity leave
Competitive 401k

HOW TO APPLY:

Please register your interest by sending your CV to Natalie Endres via the Apply link on this page.
Apply Here
For Remote Lead Data Engineer roles, visit Remote Lead Data Engineer Roles

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Senior Data Engineer at Harnham

Location: Los Angeles

SENIOR DATA ENGINEER

SAN FRANCISCO, CA

$150,000 – $170,000

Are you a hands-on data engineer with extensive Snowflake and AWS experience? This client in the life science SaaS space is looking for an experienced data engineer to join their growing team.

THE COMPANY:

HQ-ed in the San Francisco Bay Area, this remote-first software company is working to bring AI into the life science space. Specifically, they are focused on strengthening companies’ relationships with their healthcare providers and motivating better healthcare initiatives for every patient. They already service the majority of top global biopharma companies and are only expanding their market share.

THE ROLE:

As the Senior Data Engineer, you will be responsible for managing all data operations work, including ETL data pipelines, data warehousing, automation, disaster recovery, etc. The ideal candidate will have experience building and maintaining large-scale big data platforms, specifically working with AWS and Snowflake infrastructure. In this role, you will be the go-to data engineer for cross-functional communication with DevOps, Infrastructure, and SRE teams.

YOUR SKILLS AND EXPERIENCE:

Extensive hands-on experience programming in Python
Previous experience building and maintaining Snowflake data infrastructure
AWS experience, specifically GLUE, RDS, etc.
Experience with ETL tools
BONUS: experience with DBT and Airflow (or equivalent)

THE BENEFITS:

$150,000 – $170,000
HQ in SF Bay Area (+ global offices!)
Remote-first work culture
Full medical, dental, and vision coverage
401k plan

HOW TO APPLY:

Please register your interest by sending your CV to Natalie Endres via the Apply link on this page.
Apply Here
For Remote Senior Data Engineer roles, visit Remote Senior Data Engineer Roles

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Lead Data Engineer at Harnham

Location: Mountain View

LEAD DATA ENGINEER

MOUNTAIN VIEW, CA

$165,000 – $205,000

We’re searching for a Senior Data Engineer with experience with streaming data to join an innovative team working on autonomous vehicles. If you are looking for an opportunity to architect and implement data engineering solutions in a start-up environment, this is the opportunity for you.

THE COMPANY:

This AI company is developing the next generation of software-based autonomous vehicles. Using computer vision and sensors fusion, this team of bright engineers is working to reduce accidents on the road, make driving more enjoyable, and transform the autonomous vehicle industry. Their main focus is level 2 and 3 autonomous vehicles and already have partnerships with the biggest automotive manufacturers, the biggest differentiator from their competitors.

THE ROLE:

If you have a passion for start-ups and self-driving technology, this role is for you. As the Senior Data Engineer, you will be working collaboratively to architect and implement backend pipelines and microservices using real-time streaming tools like Kafka and Spark. You will be the data engineering technical lead among a small team of knowledgeable engineers, working cross-functionally and communicating with stakeholders.

YOUR SKILLS AND EXPERIENCE:

Extensive experience in data engineering / backend development
Hands-on experience with cloud platforms, AWS preferred
Strong Python coding skills and experience with NoSQL databases
Past experience working with streaming data, specifically the use of Spark or Kafka

THE BENEFITS:

$165,000 – $205,000
Headquarters in Mountain View – hybrid model
Medical, Dental, Vision coverage
Office snacks and meals
PTO

HOW TO APPLY:

Please register your interest by sending your CV to Natalie Endres via the Apply link on this page.
Apply Here
For Remote Lead Data Engineer roles, visit Remote Lead Data Engineer Roles

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Data Engineer at Apex Systems

Location: Santa Ana

Job#:

Job Description:

Apex Systems, the 2nd largest IT Staffing firm has an opportunity for a remote Data Engineer for a Financial Industry client. Candidates must be able to work on W2. If you are interested in learning more about this opportunity, please send a copy of your updated resume to . Thanks!

Overview:
The Data Engineer will architect, design and implement data analytics solutions to further advance the organization s strategic goals. In collaboration with Business and IT partners, he/she will support efforts in re-engineering, optimizing and advancing the organization s data platform with modern analytics technologies that will address near term and future business needs, and enable data-driven insights and decision making.

Essential Functions:

Collaborate with delivery team and engage with organizational stakeholders (Business and IT) to design, develop and deliver end-to-end enterprise data analytics solutions to enable data-driven insights and decision making.
Understand overall data landscape to design and implement architectures and solutions that support IT and business strategic priorities and success measures.
Translate business requirements to technical solutions by applying technical knowledge and strong business acumen.
Solve business problems and complex data requirements/challenges by incorporating standards and best practices into engineering solutions, and leveraging modern data science programming languages (e.g., SQL, Python, R, Scala, SAS) and Azure data and analytics services.
Conduct data profiling, cataloging, and mapping of existing data sources to drive technical design and construct technical data flows.
Develop and implement database designs (logical and physical) and data models (normalized and dimensional) to support the new analytics platform.
Design, implement and maintain data ingestion/integration and end-to-end data pipeline processes using Azure technologies for a wide variety of traditional and non-traditional data sources/formats (structured, unstructured, and semi-structured) through various protocols (e.g., REST, SOAP, SFTP, MQ, etc.)
Develop and maintain architecture artifacts and technical specifications for the new data analytics platform.
Participate in agile delivery team and support continuous integration/continuous delivery (CI/CD) and DevOps practices.
Other projects and duties as assigned.

EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Apply Here
For Remote Data Engineer roles, visit Remote Data Engineer Roles

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Information Technology – Data Engineer at Mastech

Location: San Diego

Job Description
: Mastech Digital provides digital and mainstream technology staff as well as Digital Transformation Services for all American Corporations. We are currently seeking an Information Technology-Data Engineer for our client in the Professional Services domain.

We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a Contract position, and the client is looking for someone to start immediately. Duration: 6+ Months Contract Location: San Diego, CA (Remote) Role: Information Technology-Data Engineer Primary Skills: Go Role Description: The Information Technology-Data Engineer must have at least 3+ years of experience.

Requirements: – Software Engineer with experience in Object Oriented Architecture; Application Development. – Hands-on coding experience for 5+ years in Java and Go. – Advanced understanding of Microservices API architecture.

– Java, Python, Go Language †Go Lang†(Java can supplement lack or Go- Lang experience) Education: Bachelor†s degree in Computer Science, Electrical/Electronic Engineering, Information Technology or another related field or Equivalent Experience: Minimum 3+ years of experience Relocation: This position will not cover relocation expenses Travel: No Local Preferred: Yes Note: Must be able to work on a W2 basis Recruiter Name: Ankit Jasoriya Recruiter Phone: 412-200-1197 (Ext: 2285) Equal Employment Opportunity Minimum Education Required: Bachelor Years of Experience Required: At Least 3 Years Expected Travel Time: None.
Apply Here
For Remote Information Technology – Data Engineer roles, visit Remote Information Technology – Data Engineer Roles

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SENIOR DATA ENGINEER at Harnham

Location: San Francisco

SENIOR DATA ENGINEER

SAN FRANCISCO

$150,000 – $170,000

An exciting opportunity for an experienced Senior Data Engineer to join a high performing team working in an up-and-coming industry and with a company that has proven to be profitable since they started. If you are looking to grow as a data engineer and use your skills to implement data pipelines and data infrastructure, this is a great job for you!

THE COMPANY

This is a company focused on modernising legal processes, helping ease burdens off of companies all around the world. This Senior Data Engineer will have a great opportunity to work collaboratively among teams to be a part of building out this redefining software tool.

THE ROLE

This Senior Data Engineer will be responsible for helping build out the data platform which will require hands on work with various forms of data.

Be apart of a collaborative team to create engineering solutions
Create data pipelines to support product features
Implement and maintain data processing code
Develop new data sets and tooling

YOUR SKILLS & EXPERIENCE

Previous work-experience developing data processing pipelines
Strong programming skills and proven commercial experience with Python and SQL
Experience with AWS tooling
Commercial experience with managing data infrastructure

BENEFITS

150,000- 170,000 base salary
Remote Work
401K
Medical, Dental, Vision Insurance

HOW TO APPLY

Please register your interest by sending your resume to Alexandra Oechsle via the apply link on this page.
Apply Here
For Remote SENIOR DATA ENGINEER roles, visit Remote SENIOR DATA ENGINEER Roles

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Senior Software Engineer- Data Engineering at Cohesity

Location: San Jose

Cohesity is on a mission to radically simplify how organizations manage their data to unlock limitless value. We make it easy to back up, manage and derive value from data while protecting data against ransomware attacks. At Cohesity, we’re encouraged to think big and we take on dynamic goals that require innovative thinkers. Obsession with our customers keeps us humble and drives us to keep learning.

We’ve been named a Leader by multiple analyst firms, and are prominently featured in the Forbes Cloud 100 and CRN’s Coolest Cloud companies.

About This Role

At Cohesity, we are building the next generation data management and analytics platform as a service, a first of its kind in the industry. This builds upon the unique tech stack Cohesity is known for. Join us and help make the first release for a major company initiative. This is an amazing opportunity for a hands-on, seasoned Data Engineer who can not only define but also partner across teams on technical projects.

Responsibilities
• Provide technical leadership, and mentoring to team members
• Work with product managers to understand customer requirements and design and deliver cloud SaaS services
• Perform the role of data engineer within the team, building and owning our ETL pipelines
• Work with functional leads to understand their data requirements and design and deliver data pipelines to scale to billions of events
• Collaborate with operations to establish KPIs for different services and own the end-to-end delivery and lifecycle management
• Establish core data management principles and best practices
What We Are Looking For
• MS/PhD in Computer Science or a related software field
• 7+ years of relevant experience building production software products
• Hands on coding skills in Golang, Python or Java
• We run on all major public clouds; experience with at least one is required (AWS, GCP, or Azure)
• Experience building data lakes and data-warehouses. BigQuery, Snowflake or Redshift experience preferred.
• Experience in either streaming or batch ETL pipelines required. Experience with Kafka and Spark preferred.
• Experience with microservices and containers.
• Experience in either Elasticsearch or Solr is helpful.
• Experience with cloud native Machine Learning service a big plus.
• Experience in NoSQL engines a plus.
• Strong analytical and problem-solving skills
• Knowledge in Storage, Filesystems or Data Protection domain is a plus
• Motivated to solve complex problems and challenges.
Note: We are hiring at all levels.

#LI- Remote

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Equal Employment Opportunity Employer (EEOE)

Cohesity is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at 1-855-9COHESITY or talent@ for assistance.

COVID-19

Cohesity requires all employees who enter its U.S. offices to be fully vaccinated against the COVID-19 virus and to provide documented proof thereof. Cohesity will comply with applicable law regarding the reasonable accommodation of individuals who are not vaccinated because of a sincerely held religious belief, disability or medical condition. This vaccination requirement does not apply to employees who work remotely and do not enter Cohesity offices.
Apply Here
For Remote Senior Software Engineer- Data Engineering roles, visit Remote Senior Software Engineer- Data Engineering Roles

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REMOTE Staff Data Engineer at CyberCoders

Location: San Jose

If you are a Senior/Principal/Staff Level Data Engineer with demonstrated performance scaling experience, please read on!

Top Reasons to Work with Us

We are an exciting startup fighting income inequality for frontline workers with retail tech (Founded By Two Harvard Behavioral Economics Grads & Fully Funded). We are a mission based company that’s looking to shift over $10B from large brands to nonprofits by creating a loyalty program that benefits everyone! Companies such as Instacart and IKEA have joined our cause and donate a percentage of a purchase to the nonprofits of your choosing. Our goal is a to be a compass for everyday impact on lives and habits!

Currently we are in immediate need of a Senior-Staff Level Data Engineer with a strong software background. Please note this is a remote opportunity!

What You Will Be Doing
• Performance Scaling
• NoSQL, MongoDB
• Help with architecture
What You Need for this Position
• 10 + years of full-stack experience in a similar Senior-level Data Engineering role
• Software Engineering Background
• BS in Computer Science or related field required
Benefits
• Vacation/PTO
• Medical
• Dental
• Vision
• 401k
So, if you are a Senior/Principal/Staff Data Engineer with relevant full-stack experience, please apply today!

Email Your Resume In Word To

Looking forward to receiving your resume through our website and going over the position with you. Clicking apply is the best way to apply, but you may also:

Adam.Green@
• Please do NOT change the email subject line in any way. You must keep the JobID: linkedin : AG16-1702946 — in the email subject line for your application to be considered.***
Adam Green – Executive Recruiter – CyberCoders

Applicants must be authorized to work in the U.S.

CyberCoders, Inc is proud to be an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.

Your Right to Work – In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.

CyberCoders will consider for Employment in the City of Los Angeles qualified Applicants with Criminal Histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring (Ban the Box) Ordinance.
Apply Here
For Remote REMOTE Staff Data Engineer roles, visit Remote REMOTE Staff Data Engineer Roles

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Data Engineer, Marketing Measurement, CMO at Amazon.com

Location: San Carlos

Description
Description
Job summary
Are you passionate about Amazon scale Big Data, Machine Learning and the ever growing Amazon’s advertising & marketing landscape? If yes, this is the team for you!

In this role, you will be owning first-of-its-kind data-management solution integrating Amazon 1P data with 3P data from advertising entities in privacy & security compliant manner to optimize Amazon’s advertising and marketing dollars.

The Campaign Measurement and Optimization (CMO) organization is strategically and uniquely organized with Product managers, Data/Applied Scientists, Economists, Software Developers and Data Engineers to solve the challenging problem of marketing measurement at Amazon scale by providing data driven actionable insights.

As a Data Engineer, you will be tasked with leading internal and external data acquisition and processing to building innovative machine learning products to optimize delivery of relevant and performant advertising experiences to customers. As a trusted engineering leader you will be given some of the most difficult data management, processing and intelligence generation problems to solve. You will need to develop and/or invent elegant mechanisms and cutting edge infrastructure processing capabilities that drive big data algorithms.

You will operate as a mix of hands-on builder, and influencer. You will work closely with engineers and scientists contributing to the ongoing development and evolution of the underlying machine learning systems and algorithms. While you will spend the bulk of the time spent as a builder for delivering your own data processing solutions but will be expected to review, influence and support similar development in other areas.

As a mentor, you will be a strong partner with science, product and engineering managers, supporting the skill and career development of junior scientists and engineers and educating the broader tech community strategic role of scientific innovations in furthering the advertising business.

You ll be expected to:
Design data processing systems and algorithms for optimizing marketing spend across Amazon and its Subsidiaries.
Build systems that extract and process volumes of disparate data using a variety of econometric and machine learning approaches. These systems should be designed to scale with exponential growth in data and run continuously.
Leverage knowledge of big data technologies, advanced software systems, business intelligence reporting and algorithm development to build our measurement and optimization engines.
Serve as a technical lead on our most demanding, cross-functional projects and mentor a team of data engineers and junior machine learning scientists to deliver solutions to internal stakeholders including other modeling teams at Amazon.
Contribute intellectual property through patent generation.
Functionally decompose complex problems into simple, straight-forward solutions.
Understand system inter-dependencies and limitations as well as analytic inter-dependencies to build efficient solutions.

About the team
Come be part of a cross functional (data engineers, data scientist and software engineers), self sufficient team that Leverage knowledge of big data technologies, advanced software systems, business intelligence reporting and algorithm development to build our measurement and optimization engines.Basic Qualifications
• 3+ years of experience as a Data Engineer or in a similar role
• Experience with data modeling, data warehousing, and building ETL pipelines
• Experience in SQL
• Experience using at least one of Python, Java, Scala, Spark Hands-on experience working with R/Matlab/Python or any other statistical language/package is required
• Experience with statistical modeling techniques, e.g., logistic regression, decision trees, SVMs, neural networks
Preferred Qualifications
• Experience working in a complex, service oriented software development
• Experience working on automated marketing technologies
• Four years’ experience working on advertising measurement and optimization. Three years’ experience working on analytics software
• Experience working with AWS Services, consuming, managing large scale datasets.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit Basic Qualifications
• 3+ years of experience as a Data Engineer or in a similar role
• Experience with data modeling, data warehousing, and building ETL pipelines
• Experience in SQL
• Experience using at least one of Python, Java, Scala, Spark Hands-on experience working with R/Matlab/Python or any other statistical language/package is required
• Experience with statistical modeling techniques, e.g., logistic regression, decision trees, SVMs, neural networks
Preferred Qualifications
• Experience working in a complex, service oriented software development
• Experience working on automated marketing technologies
• Four years’ experience working on advertising measurement and optimization. Three years’ experience working on analytics software
• Experience working with AWS Services, consuming, managing large scale datasets.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
Apply Here
For Remote Data Engineer, Marketing Measurement, CMO roles, visit Remote Data Engineer, Marketing Measurement, CMO Roles

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Data Engineer at Glidewell Dental

Location: Irvine

Essential Functions:
• Creates and debugs ETL/ELT packages using SQL Server Integration Services (SSIS), Pentaho, or other open-source programs
• Creates, debugs, and optimizes stored procedures, views, and functions.
• Collaborates with Data Architect and other stakeholders to understand requirements, relation between various data sets, and frequency of updates.
• Defines metrics and calculations along with the corresponding updates to the semantic layer
• Collaborates with the business community to identify, analyze and document data engineer’s needs.
• Collaborates with team in the design and development of reports and dashboards for various business units.
• Collaborates with and provides recommendations to senior team members regarding business intelligence (BI) strategy within the IT Department.
• Maintains and updates documentation for data engineer processes and procedures.
• Creates proof of concept (POC) using Amazon Web Services (AWS).
• Identifies and implements transformation and/or conversions necessary to provide consistent and usable data.
• Implements AWS services to improve ETL/ELT efficiency and/or real time reporting.
• Provides support and training to internal team members.
• Performs other related duties and projects as business needs require at direction of management.

Education and Experience:
• Bachelor’s Degree in Computer Technology is required
• Minimum five (5) years of relevant work experience in the areas below, or any equivalent education and/or experience from which comparable knowledge, skills and abilities have been demonstrated/achieved:
• Experience in TSQL.
• Experience in using reporting tools such as Crystal, Tableau, Power BI,or SSRS.
• Experience in Business Objectives, Data Transformation Services (DTS) /SQL Server Integration Services (SSIS),and 3rd party ETL/ELT tools.
• Experience in an open source language such as Python, Java, PHP, or Ruby.
• Experience using cloud based technologies (ex:AWS).
Apply Here
For Remote Data Engineer roles, visit Remote Data Engineer Roles

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